INDUSTRY
OVERVIEW
Data and analytics roles play a pivotal and indispensable role in the Banking, Financial Services, and Insurance industry, delivering invaluable insights that inform strategic decision-making, foster innovation, and enable businesses to maintain a competitive edge. According to our BFSI data recruitment experts, the long-term significance of data and analytics jobs in the BFSI sector is evident in their ability. Driving strategic initiatives, managing risks effectively, and enhancing customer experiences.
In the UK, US, and EU, data and analytics jobs in the BFSI sector are subject to unique nuances and differences. That's where our BFSI data recruitment experts come in. According to them, the UK's financial services sector places a strong emphasis on regulatory compliance, risk management, and data privacy due to the influential role of regulatory bodies such as the Financial Conduct Authority (FCA) and the Prudential Regulation Authority (PRA). Data and analytics professionals in the UK BFSI sector may be involved in managing complex regulatory requirements, including Anti-Money Laundering (AML) and Know Your Customer (KYC) regulations.
In the US, data and analytics jobs in the BFSI sector are influenced by various factors such as the size and diversity of the financial market, the regulatory landscape governed by organizations such as the Securities and Exchange Commission (SEC) and the Federal Reserve, and the focus on consumer protection. Data scientists and analysts in the US BFSI sector may work on areas such as risk modeling, fraud detection, and customer segmentation.
In the EU, data and analytics jobs in the BFSI sector are shaped by regulatory frameworks like the General Data Protection Regulation (GDPR) and the European Central Bank's (ECB) guidelines on risk management. The focal points are data privacy, risk assessment, and regulatory compliance. Data and analytics professionals in the EU BFSI sector may be involved in areas such as stress testing, credit risk assessment, and compliance reporting.
Across all regions, the significance of data and analytics jobs in the BFSI sector lies in their ability to drive data-driven decision-making, enhance risk management practices, optimize customer experiences, and foster innovation through advanced analytics techniques such as machine learning and artificial intelligence. Companies that invest in highly skilled data and analytics professionals are likely to gain a competitive advantage in the ever-evolving BFSI landscape. To take your first steps toward finding the perfect candidate, contact us today. Our BFSI data recruitment experts will be happy to speak with you!
CANDIDATE PROFILE
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- Technical skills: BFSI employers often seek candidates with proficiency in data analysis tools and programming languages such as Python, R, SQL, and data visualization tools like Tableau or Power BI. Familiarity with statistical techniques, data modeling, and machine learning algorithms is also highly valued.
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- Domain knowledge: Employers in the BFSI sector typically look for candidates who have a deep understanding of the industry, including financial products, services, regulations, and market trends. Knowledge of specific areas such as risk management, fraud detection, or compliance is often sought after.
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- Analytical mindset: Employers value candidates who have strong analytical skills, including the ability to analyze complex data sets, identify patterns, and derive meaningful insights. Problem-solving skills and attention to detail are also highly regarded.
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- Business acumen: BFSI employers often seek candidates who can translate data insights into actionable business recommendations. Understanding how data and analytics can drive business outcomes, improve customer experiences, and generate value is crucial.
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- Communication skills: Effective communication skills, both verbal and written, are highly valued in BFSI data and analytics roles. Candidates who can communicate complex data findings and insights in a clear and concise manner to non-technical stakeholders are often preferred.
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- Adaptability and continuous learning: Given the rapidly evolving landscape of data and analytics, BFSI employers look for candidates who are adaptable to change and willing to continuously learn and upgrade their skills. Keeping up with the latest trends, technologies, and industry developments is seen as a valuable trait.
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- Ethics and integrity: Data privacy and security are critical in the BFSI sector. Employers seek candidates who demonstrate high ethical standards, integrity, and compliance with regulatory requirements when handling sensitive data. To discover more about will make the perfect candidate for your business, contact us now. Our BFSI data recruitment experts would love to hear from you.
DATA SCIENCE OVERVIEW
Data science plays a critical role in the banking, financial services, and insurance sector by helping organizations make data-driven decisions, manage risks, and improve customer experience. With the vast amount of data generated by BFSI organizations, data science has become an essential tool to analyze and interpret this data to gain insights and drive growth.
In the BFSI sector, data science is used for a variety of purposes, including fraud detection, credit risk analysis, customer segmentation, and product development. Data scientists in the sector use statistical analysis, machine learning, and data modeling techniques to develop predictive models that help organizations make informed decisions.
One of the key benefits of data science in the BFSI sector is improved risk management. Data scientists can use historical data and predictive modeling techniques to identify potential risks and mitigate them before they become a problem. This helps organizations minimize losses and maintain financial stability.
Another benefit of data science in the BFSI sector is improved customer experience. By analyzing customer data, organizations can understand their preferences and behavior, and use this information to offer personalized products and services that meet their needs.
Data science is imperative in the BFSI sector. By helping organizations make informed decisions, manage risks, and improve customer experience. As the industry continues to generate vast amounts of data, the demand for data scientists in the BFSI sector is likely to continue to grow, making it a promising career path for those interested in data science and analytics. If you're still in need of the perfect candidate for your BFSI business, contact us today. Our BFSI data recruitment specialists are here to help!
BUSINESS INTELLIGENCE OVERVIEW
Business Intelligence (BI) jobs are in high demand in the Banking, Financial Services, and Insurance (BFSI) sector. BI professionals are responsible for gathering, analyzing, and visualizing large amounts of data to provide insights that help BFSI organizations make informed decisions.
The BFSI sector relies heavily on data to manage risks, improve customer experiences, and comply with regulations. As a result, BI professionals play a critical role in helping BFSI organizations stay competitive in today's fast-paced business environment.
BI jobs in the BFSI sector require a strong understanding of financial data, regulatory compliance, and business operations. The ideal candidate should have expertise in data modeling, analytics, and visualization tools. Additionally, they should possess strong communication and problem-solving skills to work effectively with cross-functional teams.
BI jobs in the BFSI sector are a key component of a successful and thriving organization. They play a critical role in helping BFSI organizations gain insights into their operations, improve customer experiences, and make data-driven decisions. If you need more information on recruiting for BI, contact us today. Speak to our BFSI data recruitment specialists, they are here to help!
DATA MANAGEMENTÂ
Data Management jobs in the Banking, Financial Services, and Insurance (BFSI) sector are like the unsung heroes behind the scenes, working tirelessly to keep the wheels of the industry turning smoothly. With the sheer magnitude of data that BFSI organizations deal with on a daily basis, managing this vast ocean of information is no small feat. It requires a unique blend of skills and expertise to navigate through the complexities and ensure that data is organized, stored, protected, and maintained with the utmost integrity.
In the fast-paced, data-driven world of BFSI, where decisions are made in the blink of an eye and risks lurk around every corner, Data Management professionals are the gatekeepers of reliable and accurate data. They are the ones who ensure that data flows seamlessly across the organization, providing the foundation upon which strategic decisions are made, risks are mitigated, and regulations are adhered to.
But what does it take to be a Data Management pro in the BFSI sector? It's not just about being tech-savvy and having a basic understanding of data. It goes much deeper than that. These professionals need to have an in-depth understanding of the nuances of financial data, regulatory compliance, and the intricacies of business operations. They need to be the maestros of data governance, data quality, and data integration, orchestrating a symphony of data that harmoniously supports the organization's goals and objectives.
However, it's not just about crunching numbers and analyzing data. Effective communication and problem-solving skills are equally important for Data Management professionals in the BFSI sector. They need to be able to effectively collaborate with cross-functional teams, navigating through the maze of stakeholders, departments, and systems to ensure that data is managed in a way that adds value to the organization. For more expert hiring advice, speak to our BFSI data recruitment consultants today!
RISK ANALYTICS
In the dynamic world of Banking, Financial Services, and Insurance (BFSI), Risk Analytics jobs are indispensable. These roles involve delving into vast amounts of data to uncover potential risks and opportunities, providing valuable insights that empower organizations to make informed decisions in the face of uncertainty.
BFSI organizations operate in a constantly evolving environment, where a multitude of risks lurk. This is where Risk Analytics professionals step in, playing a pivotal role in proactive risk management, loss mitigation, and profit maximization.
Deep expertise in financial data, statistical analysis, and business operations is a must for Risk Analytics jobs in the BFSI sector. The ideal candidate is well-versed in risk modeling, scenario analysis, and stress testing, and possesses exceptional communication and problem-solving skills to collaborate effectively with cross-functional teams.
Being part of the Risk Analytics team in the BFSI sector means being an integral part of organizational success. You will help identify potential risks and opportunities, guide decision-making, and keep organizations competitive in today's ever-changing business landscape. Expect the unexpected, analyze the complexities, and unlock insights that drive strategic outcomes. Don't navigate risk analytics recruitment alone. Contact our BFSI data recruitment experts today!
CUSTOMER ANALYTICS
Customer Analytics roles within the dynamic realm of the Banking, Financial Services, and Insurance (BFSI) sector are nothing short of paramount. These professionals are tasked with delving into the labyrinthine depths of customer data to unravel the enigmatic patterns of customer behavior, preferences, and needs. Armed with these invaluable insights, organizations can fashion bespoke products and services that cater to the idiosyncratic demands of their discerning clientele.
In the cutthroat landscape of the BFSI sector, where competition is rife and innovation is imperative, comprehending customer behavior and preferences takes center stage. Thus, Customer Analytics roles emerge as pivotal pillars, empowering organizations to gain a strategic edge, enhance customer satisfaction, and propel growth to unprecedented heights.
Flourishing in the realm of Customer Analytics within the BFSI sector calls for an astute grasp of customer data, proficiency in statistical analysis, and a profound understanding of business operations. The ideal candidate is a virtuoso in customer segmentation, adept in predictive modeling, and a maestro in data visualization. Furthermore, exceptional communication and problem-solving skills are essential to collaborate effectively with multifaceted, cross-functional teams.
Embarking on a career in Customer Analytics for the BFSI sector bestows upon you an indomitable sense of purpose as you become a linchpin of success for BFSI organizations. Your prowess in unearthing customer behavior, preferences, and needs will serve as the catalyst for crafting tailor-made products and services that cater to the distinctive requirements of your esteemed customers. To find out more, contact our BFSI data recruitment experts now!
JOBS
LATEST financial services
DATA JOBS
Senior AI Product Owner
London
£75000 - £90000
+ Advanced Analytics & Marketing Insights
PermanentLondon
To Apply for this Job Click Here
Senior AI Product Owner (Domain Lead)
London (Hybrid, 3 days per week) | Up to £90,000 + £5,000 Car Allowance
This is an opportunity to join a growing AI Centre of Excellence at a pivotal stage in its development. You’ll play a key role in identifying, shaping and scaling AI products that deliver measurable commercial value, working across a diverse portfolio of high-impact initiatives rather than focusing on a single product roadmap.
The Company
They are a well-established consumer-focused organisation investing heavily in artificial intelligence to transform customer experiences, commercial performance and operational effectiveness. Their AI Centre of Excellence acts as a central function, partnering with teams across the business to identify and deliver innovative AI solutions. With strong executive sponsorship and an expanding AI roadmap, they offer the chance to influence how AI is adopted at scale across a large organisation.
The Role
As a Senior AI Product Owner, you will act as a domain lead across multiple AI initiatives, helping to bridge the gap between commercial stakeholders and technical delivery teams.
Key responsibilities include:
- Identifying and prioritising AI and Generative AI opportunities across commercial functions
- Working with senior stakeholders to understand business challenges and define high-value use cases
- Leading discovery activities, problem framing and opportunity assessment
- Building and managing a prioritised portfolio of AI initiatives
- Taking AI products from concept and proof of value through to deployment and adoption
- Defining success metrics, value hypotheses and acceptance criteria
- Collaborating with AI specialists, engineers and delivery teams to bring solutions into production
- Driving testing, feedback collection and iterative product improvement
- Supporting user adoption through training, communication and operational change
- Measuring product performance, business impact and realised benefits
- Balancing innovation with governance, compliance, security and responsible AI practices
Your Skills & Experience
- Strong Product Management or Product Ownership experience within a commercial environment
- Experience working on AI or Generative AI products and use cases
- Demonstrable ability to identify, shape and deliver AI solutions that create business value
- Strong stakeholder management skills, including engagement with senior decision-makers
- Experience leading discovery and translating business problems into product opportunities
- Commercially minded with the ability to balance customer needs, business outcomes and technical feasibility
- Comfortable operating in ambiguity and managing multiple initiatives simultaneously
- Strong communication and facilitation skills, with the ability to drive alignment and decision-making
- Experience taking AI solutions beyond experimentation and into scalable production environments
How to Apply
If you’re an experienced AI Product Owner or Product Manager looking to drive the adoption of AI products across a portfolio of high-impact use cases, please apply with your CV to be considered for this opportunity.
To Apply for this Job Click Here
Data/Software Engineer
£500 - £590
+ Data Engineering
ContractEngland
To Apply for this Job Click Here
Data & Software Engineer
£550-£590 per day | Outside IR35 | Fully Remote | 6-Month Contract
THE OPPORTUNITY
A well-established organisation is looking for an experienced Data & Software Engineer to join its technology team on an initial six-month contract.
The business is currently investing in its technology and data capabilities, with a number of projects underway to improve how information is collected, processed and shared across its systems.
You’ll join a collaborative engineering environment and work across a combination of backend development, data processing and systems integration, helping to build reliable and scalable solutions.
THE ROLE
This is a hands-on engineering position suited to someone who enjoys working across both software and data.
You’ll be responsible for developing backend solutions, connecting different systems and helping to improve the movement and availability of data across the wider technology estate.
You’ll work alongside engineers and other technical teams to deliver new functionality, improve existing platforms and support a range of ongoing development initiatives.
The role will give you exposure to a variety of technical challenges and the opportunity to have a tangible impact on the systems being developed.
KEY RESPONSIBILITIES
- Develop and maintain backend applications and services
- Work with data processing and data management solutions
- Build and maintain APIs and system integrations
- Connect internal systems and external platforms
- Improve the reliability, accessibility and quality of data
- Contribute to the development of existing applications and platforms
- Work closely with engineering and data-focused teams
- Translate technical and business requirements into practical solutions
- Identify opportunities to improve existing processes and systems
- Ensure solutions are scalable, maintainable and built to a high standard
EXPERIENCE REQUIRED
- Strong commercial experience with PHP
- Strong commercial experience with Python
- Excellent experience with PostgreSQL
- Strong background in Backend Engineering
- Experience developing and integrating APIs
- Experience working with multiple systems and data sources
- Comfortable working within complex technical environments
- Strong understanding of software engineering principles and best practices
DESIRABLE
- Airflow
- Snowflake
- AWS
- Data warehousing
- Modern data platforms
- Experience working closely with data or analytics teams
THE PERSON
We’re looking for an experienced engineer who can operate independently, take ownership of their work and work effectively with wider technical teams.
You’ll be comfortable dealing with complex requirements, working across different systems and finding practical solutions to technical challenges.
Experience working within a high-volume, data-heavy or technically complex environment would be beneficial, but candidates from a range of backgrounds will be considered.
CONTRACT DETAILS
- £550-£590 per day
- Outside IR35
- Fully Remote
- 6-month initial contract
- Potential for extension
- Immediate opportunity to make an impact within an established technology function
If you’re an experienced PHP/Python Backend Engineer with strong PostgreSQL experience, we’d be keen to speak with you.
To Apply for this Job Click Here
Senior MLOps Engineer
New York
$160000 - $180000
+ Data Science & AI
PermanentNew York
To Apply for this Job Click Here
Senior MLOps Engineer
New York, New York – 5 days onsite
$160,000 – $180,000 + bonus
THE COMPANY
Harnham is partnering with a top financial services company in the NYC area, which is looking for an experienced MLOps Engineer. This person will be at the forefront of scaling AI automation applications for new ways at identifying cost-saving opportunities. You’ll partner with executive teams across the company and own generative AI, LLM and reinforcement learning application infrastructure deployment at scale.
RESPONSIBILITIES
- You will be responsible for machine learning model deployment and scalability for the company’s AI platform
- You will report directly to senior leadership and work closely on technical direction
- Own AI infrastructure and quickly build into production, particularly focusing on novel AI and LLM applications
- You will implement and design code and build out to production using various machine learning and LLM techniques, owning machine learning workflow operations and distributed systems
- Own CI/CD pipelines for MLOps / LLMOps
- You will play an integral role of building out the AI team and scaling out its product
- Act as a thought leader role for AI across the business
SKILLS AND EXPERIENCE
- 5+ years of commercial experience preferred with a focus on deploying and scaling machine learning and LLM models
- Expertise in Python (TensorFlow, PyTorch) for production-grade work
- Commercial experience building novel AI platforms with large datasets
- History of working with and managing real-time AI applications in production settings
- Fluency with low-latency distributed systems is preferred
- Cloud experience in AWS, Azure or GCP
- DevOps experience with CI/CD pipelines required; Gitlab Pipelines, CDK or Terraform
- Container experience with Kubernetes, Docker or similar
- History of working on models from concept to production / end-to-end / 0-1
- Software engineering foundation: debugging, testing, maintainable code design
- Domain experience in fintech or similar a plus
- History of partnering with non-technical stakeholders required
- Experience owning projects directly preferred
- BS or MS degree in Computer Science, Software Engineering, Computer Engineering or similar
BENEFITS
The compensation package contains a base salary, bonus and a comprehensive benefits package.
HOW TO APPLY
Please register your interest by sending your CV via the Apply link on this page.
KEY TERMS
Artificial Intelligence | Generative AI | GenAI | Machine Learning | ML Engineer | Engineering | Deployment | Production | Real Time | Enterprise | Statistics | Mathematics | Financial Services | Banking | Python | Anomaly Detection | Fintech | Agentic AI | AI Agents | MLOps | ML Operations | Deployment | Deploy | Production | CI/CD | Container | Docker | Gitlab Pipelines | Terraform | Kubernetes
To Apply for this Job Click Here
Data Architect (Data Privacy)
$70 - $95
+ Data Engineering
ContractNew York
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Job Title
Data Architect (Data Privacy)
Intro Harnham
Harnham is partnering with a technology-led organisation undergoing a major data transformation initiative. We are seeking a Data Privacy Architecture Consultant to help define the future state of their cloud data platform.
Intro client
Our client is investing heavily in modern data architecture, governance, and privacy capabilities. They are looking to establish a sustainable and scalable approach to managing customer data while enabling future analytics and AI initiatives.
Role Details
Role: Data Privacy Architecture Consultant
Location: Fully Remote (United States)
Pay: $70 to $95 per hour
Length: 6-month contract
Utilisation: 40 hours per week
Intro to role
This engagement focuses on designing a privacy-first architecture for a modern enterprise data platform. You will partner closely with data engineering and business stakeholders to define how customer identity should be managed while reducing the use of PII throughout analytical environments.
The outcome will be a detailed architectural blueprint, migration roadmap, and implementation recommendations that internal engineering teams can execute.
Key Responsibilities
- Design a privacy-focused target state architecture for analytics and reporting environments
- Define approaches for customer identity resolution, pseudonymization, and universal identifiers
- Create migration plans for existing warehouse assets and transformation models
- Assess impacts across reporting, analytics, operational systems, and downstream data products
- Define integration patterns between identity management services and cloud data platforms
- Produce implementation-ready technical documentation and architecture artefacts
Requirements: Must Have
- Strong experience designing privacy-centric data architectures
- Expertise in identity resolution, pseudonymization, or customer identity management
- Hands-on experience with Snowflake
- Strong dbt experience, including warehouse transformation and migration initiatives
- Experience delivering governance, privacy, or compliance-focused data programs
- Excellent stakeholder communication and documentation skills
Nice to Have
- Experience supporting AI-readiness initiatives
- Exposure to customer identity platforms or MDM solutions
- Experience designing deletion workflows or data subject rights processes
- Background in regulated industries
Outro
This is an opportunity to influence a long-term data platform strategy while solving complex privacy and governance challenges. If you enjoy designing scalable architectures that balance compliance, usability, and business value, we’d love to speak with you.
WE WILL NOT UTILIZE THIRD PARTIES FOR THIS SEARCH
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Data Architect (Data Privacy) – Remote
Boston
$80 - $100
+ Data Engineering
ContractBoston, Massachusetts
To Apply for this Job Click Here
Data Architect
**we will NOT be utilizing agencies or third parties for this role**
Location: Fully Remote (United States)
Contract Length: 6 Months
Extension Potential: Yes
Rate: $80-$100 per hour
We are partnering with a technology-led organization undergoing a significant data transformation initiative to identify an experienced Data Architect (Data Privacy Focused). This engagement offers the opportunity to shape the future-state architecture of a modern cloud data platform, ensuring privacy, governance, and AI readiness are embedded at the core of the design.
Working closely with senior data and engineering stakeholders, you will be responsible for defining a scalable architecture that removes or minimizes customer personally identifiable information (PII) from analytical environments while maintaining business value and operational effectiveness.
Key Responsibilities
- Design a target-state data architecture that minimizes or removes customer PII from analytics environments.
- Define and implement a universal customer identifier strategy across the enterprise data estate.
- Provide expertise on identity resolution, pseudonymization, and privacy-centric data warehouse design.
- Develop a comprehensive migration strategy for existing warehouse tables and transformation models.
- Define integration requirements between the data platform and identity translation services.
- Assess the impact of architectural changes across reporting, analytics, and data products.
- Establish approaches for managing data subject deletion requests within the proposed architecture.
- Provide recommendations for integrating customer feedback and qualitative data sources.
- Produce detailed architectural designs, migration plans, and implementation-ready documentation for engineering teams.
Required Experience
- Demonstrated experience designing privacy-focused data architectures within enterprise environments.
- Deep expertise in identity resolution, pseudonymization, and customer identity management.
- Strong experience working with Snowflake and modern cloud-based data platforms.
- Proven knowledge of dbt and large-scale data warehouse migration programs.
- Experience delivering data governance, privacy, or regulatory compliance initiatives.
- Ability to produce detailed technical documentation and communicate effectively with both technical and non-technical stakeholders.
- Strong stakeholder management skills and the ability to balance governance, usability, and operational requirements.
Opportunity Highlights
- Fully remote engagement within the United States.
- Opportunity to influence a high-profile enterprise data transformation program.
- Direct collaboration with senior data and engineering leadership.
- Exposure to complex challenges spanning data privacy, governance, AI enablement, and modern data architecture.
To Apply for this Job Click Here
AI Architect
$70 - $80
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
AI Architect (Contract)
Harnham, the leading recruitment specialist in Data & AI, is currently partnering with a well-established financial technology business with a strong focus on data, analytics, and product innovation. The organization is investing in next-generation AI-enabled decision-making and is seeking an expert consultant to help define and build the architecture that will support this vision.
- Role: AI Architect
- Location: remote, anywhere in the US
- Pay: $70-80 per hour
- Length: Extendable 6-month initial contract
- Utilization: 40 hours/week
- Benefits: W2 employees are eligible for health, dental, vision, and 401(k) benefits.
As an AI Architect, you will play a key role in shaping the foundations of AI-powered analytics within a data-driven organization. You will work closely with internal data and engineering teams to design a scalable AI context layer, build a proof of concept, and establish the evaluation frameworks required to deliver trusted, high-quality AI-generated insights.
Key Responsibilities
- Design a target-state architecture for an AI context and semantic layer.
- Create a working proof of concept alongside internal data and engineering stakeholders.
- Define how governed business context, metadata, and metric definitions should be authored, maintained, and version controlled.
- Develop an evaluation framework that measures the quality, reliability, and accuracy of AI-generated answers.
- Advise on integrating AI assistants with enterprise data and contextual knowledge sources.
- Establish approaches for monitoring performance, detecting drift, and continuously improving answer quality.
- Help create a scalable, maintainable solution that supports future AI and analytics initiatives.
- Produce documentation and recommendations that enable successful handover and long-term adoption.
Requirements
- Strong commercial experience designing semantic layers, metrics layers, or governed data platforms.
- Expertise working with modern cloud data environments and analytics architectures.
- Experience building AI, LLM, agentic AI, MCP, or retrieval-based solutions that interact with structured business data.
- Strong knowledge of dbt and data transformation best practices.
- Experience defining evaluation methodologies for AI systems and measuring answer accuracy.
- Ability to communicate architectural concepts clearly to both technical and non-technical stakeholders.
- Experience delivering proof of concepts, frameworks, or platform designs in collaborative environments.
- Familiarity with technologies such as Snowflake, modern ELT tooling, analytics platforms, and AI assistants.
This is an excellent opportunity for an experienced AI and Data Architecture professional to shape a high-impact AI initiative from the ground up. You will work alongside senior data and engineering stakeholders, influence the future direction of AI-powered analytics, and help build scalable foundations for long-term success.
Interested? Apply today through Harnham.
To Apply for this Job Click Here
AI Architect
Remote
$70 - $80
+ Data Science & AI
ContractNew York
To Apply for this Job Click Here
AI Architect
Harnham, the leading recruitment specialist in Data & AI, is partnering with an innovative technology company seeking an experienced AI Architect to help shape the future of AI-powered analytics and decision-making.
- Role: AI Data Architecture Consultant
- Location: Fully Remote (US)
- Pay: $70 – $80 per hour
- Length: 6 month initial contract with extension potential
- Utilisation: 40 hours per week
- Benefits: Health, dental, vision, and 401(k) available for eligible W2 employees
The Role
You will work closely with data and engineering teams to design the architectural foundations for AI-powered analytics. This role combines strategy and hands-on delivery, including building a proof of concept and defining frameworks that ensure trusted, high-quality AI outputs.
Key Responsibilities
- Design an AI context and semantic layer architecture
- Build a proof of concept with internal stakeholders
- Define governance for business metadata, metrics, and contextual data
- Develop frameworks to evaluate the accuracy and reliability of AI-generated insights
- Advise on integrating AI assistants with enterprise data platforms
- Establish monitoring and continuous improvement processes for AI solutions
- Deliver documentation and recommendations to support long-term adoption
Requirements
- Experience designing semantic layers, metrics layers, or governed data platforms
- Strong understanding of modern cloud data and analytics environments
- Experience with LLMs, agentic AI, MCP, RAG, or similar AI technologies
- Strong knowledge of dbt and data transformation best practices
- Experience evaluating AI system performance and accuracy
- Excellent stakeholder communication skills
- Exposure to Snowflake, ELT tools, and modern analytics platforms
This is an exciting opportunity to lead a high-impact AI initiative, influence AI strategy from the ground up, and work with senior technical stakeholders on cutting-edge data and AI challenges so if interested apply below or contact Ciarán for more information
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AI Product Director
San Francisco
$275000 - $290000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: AI Product Director
Location: SF Bay Area (Hybrid 2-3 days/week in office)
Salary: $275-290k base
Overview:
An established fintech organization is seeking an AI Product Director to lead the next phase of its enterprise-wide AI transformation program.
This is a highly visible leadership role focused on reimagining business processes through AI and scaling successful AI solutions across multiple functions. You’ll work closely with executive stakeholders, lead a growing AI product team, and oversee multiple concurrent initiatives that are already delivering measurable business value.
The ideal candidate combines strategic product leadership with hands-on execution and has played a direct role in designing and delivering AI-powered products from concept through production.
Key Responsibilities:
- Lead the product strategy and roadmap for enterprise AI transformation initiatives
- Partner with senior business leaders to identify opportunities for AI-driven process redesign
- Translate business objectives into scalable product and solution blueprints
- Oversee multiple AI product initiatives simultaneously, ensuring quality, speed, and business impact
- Manage and mentor a team of AI Product Managers
- Lead discovery efforts with business stakeholders to map current-state processes and identify transformation opportunities
- Evaluate and select external engineering partners and maintain accountability throughout delivery
- Establish quality assurance, evaluation, and governance frameworks for AI solutions
- Partner with technical teams to define success metrics, testing methodologies, and production-readiness standards
- Drive stakeholder adoption, executive alignment, and organizational change management
What We’re Looking For:
- 8-12 years of Product Management experience
- Proven track record delivering AI-enabled products from concept through production deployment
- Demonstrated experience contributing directly to AI solution design, architecture discussions, or product blueprint creation
- Experience leading multiple concurrent product initiatives in fast-paced environments
- Experience managing Product Managers or leading product teams
- Strong vendor management experience and ability to guide third-party delivery partners
- Executive-level communication, presentation, and stakeholder management skills
- Ability to balance strategic vision with hands-on execution
Nice-to-Have:
- Experience in fintech, lending, payments, risk technology, or other regulated industries
- Knowledge of AI governance, explainability, compliance, or model risk concepts
- Familiarity with agentic systems, AI evaluation frameworks, benchmark testing, and modern LLM applications
- Experience scaling AI products within high-growth technology companies
Benefits:
- Additional performance-based cash compensation potential
- Executive visibility and influence across the organization
- Opportunity to build and lead a growing AI product function
- Exposure to large-scale AI transformation initiatives with significant business impact
To Apply for this Job Click Here
AI Product Manager
San Francisco
$190000 - $210000
+ Advanced Analytics & Marketing Insights
PermanentSan Francisco, California
To Apply for this Job Click Here
Job Title: AI Product Manager
Location: SF Bay Area (Hybrid 2-3 days/week in office)
Salary: $190-210k base
Overview:
A growing financial technology organization is expanding its AI product team and seeking two AI Product Managers to lead business process transformation initiatives powered by AI.
This is not a role focused on AI experimentation or internal productivity tools. The organization already has production AI systems delivering measurable business impact and is now extending those capabilities across multiple business functions. You will own the full lifecycle of AI initiatives, from discovery and process redesign through implementation, quality control, and adoption.
This opportunity is ideal for a hands-on product manager who enjoys ambiguity, thrives in fast-moving environments, and wants to build deep expertise in AI product development while working closely with business leaders, data scientists, and engineering partners.
Key Responsibilities:
- Lead discovery sessions with business stakeholders to understand current workflows, pain points, exceptions, and opportunities for transformation
- Redesign business processes from a 0-to-1 perspective, leveraging AI to fundamentally improve outcomes rather than simply automate existing workflows
- Create detailed product requirements, design briefs, process maps, and solution specifications
- Partner with data science and engineering teams to define AI capabilities, evaluation criteria, and success metrics
- Manage external engineering partners throughout the development lifecycle and ensure delivery aligns with product requirements
- Design quality assurance and evaluation frameworks to assess AI outputs before deployment
- Coordinate pilot programs, user testing, and adoption strategies
- Measure business impact and continuously refine solutions post-launch
- Build strong relationships with stakeholders and drive alignment across technical and non-technical teams
What We’re Looking For:
- 3-5 years of experience in Product Management, Product Strategy, Product Operations, or a related discipline
- Direct experience working on AI-powered products or AI-driven business process transformation initiatives
- Experience leading discovery efforts and gathering requirements from business stakeholders and subject matter experts
- Proven ability to create specifications, requirements documents, design briefs, or other product artifacts that have been used to build and launch solutions
- Strong problem-solving skills with the ability to structure ambiguous challenges independently
- Experience balancing strategic thinking with hands-on execution
- Excellent stakeholder management and communication skills
Nice-to-Have:
- Experience within fintech, lending, payments, insurtech, healthtech, or other regulated industries
- Experience working with external vendors, consultants, or engineering partners
- Familiarity with AI evaluation methodologies, testing frameworks, or model validation approaches
- Exposure to LLM-enabled products, AI agents, or intelligent automation platforms
Benefits:
- Additional performance-based cash compensation potential
- Opportunity to join a company actively deploying AI at scale across multiple business functions
- High degree of ownership and visibility within a rapidly growing AI product organization
To Apply for this Job Click Here
Data Analyst
London
£45000 - £55000
+ Advanced Analytics & Marketing Insights
ContractLondon
To Apply for this Job Click Here
Data Analyst – 6 month FTC
London or Oxford
Up to £55,000 Pro Rata
This is an opportunity for a Data Analyst to join a high-profile regulatory programme within a growing financial services organisation. You’ll play a critical role in delivering accurate, auditable data outputs that support regulatory requirements, customer outcomes, and business decision-making. The role offers significant exposure to senior stakeholders and the chance to contribute to business-critical initiatives within a regulated environment.
The Company
They are a customer-focused financial services business with a strong commitment to fair and transparent outcomes. Data plays a central role in how they deliver regulatory programmes, manage risk, and enhance customer experiences. They offer a collaborative culture, modern ways of working, and a genuine commitment to professional development. As they continue to invest in their analytics capability, this role provides the opportunity to make a measurable impact.
The Role
You will:
- Deliver SQL-based analysis, maintaining, adapting, and optimising existing scripts and queries.
- Produce accurate data extracts for operational, complaints, legal, and regulatory teams.
- Manage and refresh customer populations, datasets, and segmentation used across regulatory programmes.
- Support regulatory reporting and management information, ensuring accuracy, consistency, and timely delivery.
- Develop reporting that tracks programme performance, outcomes, and operational activity.
- Work closely with business stakeholders to translate requirements into data-driven solutions.
- Maintain robust audit trails, documentation, and version control processes.
- Contribute to large-scale regulatory initiatives within a highly regulated financial services environment.
Your Skills & Experience
- Strong commercial experience working as a Data Analyst within financial services, banking, lending, insurance, or another regulated sector.
- Advanced SQL skills with a solid understanding of:INNER JOIN, LEFT JOIN, RIGHT JOIN, FULL OUTER JOIN, CROSS JOIN, and SELF JOIN methodologies.
- Filtering and aggregation techniques using WHERE, HAVING, and QUALIFY clauses.
- Query optimisation, troubleshooting, and data validation.
- Experience extracting, transforming, and analysing large datasets.
- Strong understanding of data quality, governance, and audit requirements.
- Experience producing management information and regulatory reporting.
- Ability to communicate technical findings clearly to non-technical stakeholders.
- High attention to detail and the ability to work effectively against strict deadlines.
To Apply for this Job Click Here
AWS Data Architect
Richardson
$170000 - $185000
+ Data Engineering
PermanentRichardson, Texas
To Apply for this Job Click Here
Are you an architect who thrives on transforming complex data ecosystems into modern, intelligent platforms? We are partnering with a highly respected enterprise organization seeking a visionary AWS Data Architect to lead the evolution of its next-generation cloud data strategy.
This is a high-impact opportunity for an experienced architect who enjoys operating at both the strategic and technical levels, influencing enterprise-wide decisions, designing scalable cloud-native solutions, and leveraging emerging AI capabilities to create measurable business value.
You will play a pivotal role in defining the future-state architecture of a rapidly evolving data environment, driving modernization initiatives, and introducing innovative approaches that enable faster decision-making, improved customer experiences, and accelerated delivery across the organization.
Why This Opportunity Stands Out
- Own the vision and roadmap for a large-scale AWS data ecosystem.
- Influence executive-level technology strategy and architectural direction.
- Drive cloud-native modernization initiatives from concept through execution.
- Work with cutting-edge technologies including Agentic AI, Vector Databases, Retrieval-Augmented Generation (RAG), and Model Context Protocol (MCP).
- Build scalable, event-driven architectures utilizing real-time and streaming technologies.
- Establish enterprise architecture patterns that accelerate engineering productivity and innovation.
- Lead and mentor high-performing technical teams while shaping best practices across the organization.
What You’ll Be Doing
As the AWS Data Architect, you will serve as a trusted advisor and strategic leader responsible for designing and guiding the organization’s data transformation journey.
Key responsibilities include:
- Defining current-state, future-state, and transitional data architectures that support long-term business objectives.
- Developing strategic roadmaps that balance business value, risk, investment, and speed to market.
- Partnering with business and technology leaders to translate organizational priorities into scalable architecture solutions.
- Designing modern data platforms that support batch, near real-time, and real-time processing.
- Building and optimizing cloud-native data integration patterns across diverse source systems and applications.
- Architecting resilient, high-performance streaming platforms leveraging Apache Kafka and AWS-native services.
- Incorporating advanced AI capabilities including vector databases, Agentic AI frameworks, MCP, and RAG architectures to unlock new business opportunities.
- Championing infrastructure automation, CI/CD pipelines, and reusable architectural patterns that improve consistency and delivery velocity.
- Driving enterprise-wide best practices around data governance, security, quality, and lifecycle management.
- Providing architectural leadership, mentoring technical teams, and fostering a culture of innovation and continuous improvement.
Team Environment
You’ll join a highly collaborative, solution-oriented technology team that values innovation, knowledge sharing, and collective success. Team members are empowered to challenge conventional thinking, exchange ideas openly, and work together to solve complex business and technical challenges.
The culture encourages:
- Continuous learning and experimentation
- Cross-functional collaboration
- Technical excellence
- Mentorship and professional growth
- Innovation through emerging technologies
What We’re Looking For
Successful candidates will bring a blend of enterprise architecture expertise, cloud transformation experience, and a passion for modern data and AI technologies.
Preferred Qualifications
- Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related discipline.
- 15+ years of experience designing and delivering enterprise data solutions and modern data architectures.
- Deep expertise building cloud-native platforms within AWS.
- Proven experience developing data frameworks, reference architectures, operating models, and enterprise-scale integration patterns.
- Strong experience with streaming architectures, data modeling, and modern data platform design.
- Demonstrated success leading large-scale modernization and transformation initiatives.
- Familiarity with emerging AI architectures, including Agentic AI, vector databases, MCP, and RAG frameworks.
- Experience influencing senior stakeholders and leading enterprise architecture decisions.
- TOGAF certification or equivalent enterprise architecture framework experience preferred.
Ideal Candidate Profile
We’re seeking a strategic architect who is excited by transformation, energized by innovation, and motivated by the opportunity to build what comes next. This individual combines deep technical expertise with business acumen, communicates effectively with executive stakeholders, and enjoys mentoring teams while delivering meaningful outcomes at enterprise scale.
To Apply for this Job Click Here
Data and Automation Analyst
London
£500 - £600
+ Data Engineering
ContractLondon
To Apply for this Job Click Here
Data & Automation Analyst
Remote | Inside IR35
Rate | £500 to £600
This is an opportunity to join a major data transformation programme focused on modernising cloud-based analytics platforms and automating critical data processing workflows. You will play a key role in improving scalability, reliability, and operational efficiency by enhancing existing data pipelines and implementing cloud-native orchestration solutions.
The Company
This organisation is a well-established data-driven business operating at significant scale. They are investing heavily in the modernisation of their analytics and data platforms to support future growth and innovation. Their teams work across advanced cloud technologies, large-scale datasets, and automation initiatives to drive business value. You will join a collaborative environment where data engineering and platform optimisation are central to ongoing transformation efforts.
The Role and Deliverables
- Automate existing Python, PySpark, and SQL-based data pipelines to reduce manual intervention and improve operational efficiency.
- Design, develop, and maintain workflow orchestration solutions using Apache Airflow and cloud-based technologies.
- Assess and migrate individual pipeline components to the most suitable platforms and services where appropriate.
- Improve data pipeline performance, monitoring, reliability, and maintainability across the analytics ecosystem.
- Collaborate with analysts, engineers, and business stakeholders to deliver scalable and effective data solutions.
- Troubleshoot and resolve issues across automated workflows while supporting ongoing platform optimisation initiatives.
Your Skills & Experience
- Strong Python development experience within data engineering or automation environments.
- Proven expertise with PySpark and distributed data processing frameworks.
- Advanced SQL skills and experience working with large-scale datasets.
- Strong capability in designing, building, and maintaining automated data pipelines.
- Hands-on experience with Apache Airflow, Cloud Composer, Astronomer, or comparable workflow orchestration platforms.
- Strong understanding of ETL/ELT processes and data engineering best practices.
- Experience working within cloud-based data environments.
- Knowledge of Google BigQuery and wider Google Cloud Platform services is advantageous.
- Experience optimising data workflows for performance, scalability, and reliability.
- Familiarity with CI/CD practices and deployment automation is beneficial.
How to Apply
If you are a Data & Automation Analyst with strong Python, PySpark, SQL, and workflow orchestration experience, apply today to learn more about this exciting contract opportunity.
To Apply for this Job Click Here
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