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Vice President, Data Engineering

Dallas, TX | $230K-$300K total compensation (includes bonus)

This is a high-impact leadership opportunity to shape enterprise-wide data platforms within a globally scaled, highly regulated environment. You will play a central role in standardising financial and risk data across divisions, combining hands-on engineering with strategic leadership in a true player-coach capacity.

The Company

Globally recognised financial services organisation operating at significant scale across investment banking, asset management and trading. Their centralised engineering function supports critical areas including finance, risk and compliance. The business is investing heavily in data platform convergence, governance and regulatory readiness, with a clear mandate to standardise and unify data across the organisation. This creates a unique opportunity to influence transformation at scale.

The Role

You will lead the design and delivery of modern data engineering platforms that enable consistent, governed financial data across multiple business units. Your responsibilities will include:

* Leading architecture and development of scalable data pipelines and platforms
* Driving data standardisation across finance, risk and treasury functions
* Improving data lineage, governance and regulatory reporting alignment
* Acting as a hands-on technical lead, including code reviews and system design
* Supporting the adoption of cloud-based data platforms using AWS and distributed processing tools

Your Skills & Experience

* Strong commercial experience in data engineering and backend systems
* Expertise in distributed data processing using Spark or similar technologies
* Experience with cloud platforms, particularly AWS and tools such as Databricks or Glue
* Proven capability in designing data models for financial or regulatory systems
* Strong system design and architecture skills
* Experience leading or mentoring engineering teams in complex environments
* Background in financial services or another highly regulated domain

What They Offer

* Competitive VP-level package with total compensation typically between $275K and $300K
* Bonus and equity as part of a comprehensive rewards structure
* Opportunity to lead large-scale data transformation across critical financial systems
* Clear progression within a global engineering organisation
* Exposure to senior stakeholders and high-impact regulatory initiatives

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Principal Software Engineer

Remote (US East Coast preferred) | Up to $300,000 Total Cash Compensation + Equity

A great opportunity to join an early-stage AI software business at a defining point in its growth. As the senior technical leader within a small but rapidly expanding engineering function, you will have significant influence over architecture, engineering standards, product direction, and team development while remaining deeply hands-on in the code.

The Company

They are a profitable AI business helping organisations identify practical, high-impact opportunities for AI adoption and transformation. Their flagship platform combines data, process modelling, and AI technologies to create digital representations of organisations, enabling leaders to make more informed operational and investment decisions.

The Role

This Principal Software Engineer role is best suited to a hands-on technical leader who enjoys building, mentoring, and solving complex engineering challenges.

You will:

• Lead the architecture, development, and scaling of a cloud-native AI platform
• Act as the senior technical contributor across a multi-disciplinary team of software engineers, data engineers, and data scientists
• Drive engineering best practices, software quality, and code review standards
• Build and deploy production-grade AI and LLM-powered applications
• Own technical decision-making across application architecture, infrastructure, and platform scalability
• Partner closely with product and business stakeholders to deliver commercially valuable solutions
• Play a key role in shaping the future engineering organisation as headcount grows

Your Skills & Experience

• Strong commercial experience building software applications in Python
• Experience as a Principal Engineer, Staff Engineer, Technical Lead, Founding Engineer, or similar senior individual contributor role
• Proven track record delivering production AI or LLM-based applications beyond experimentation or proof-of-concept work
• Experience with modern LLM frameworks and orchestration tooling such as LangChain, LangGraph, or similar technologies
• Strong understanding of multi-model AI environments and working with leading foundation model providers
• Experience owning cloud infrastructure and deployment pipelines, ideally within Google Cloud Platform
• Knowledge of services such as Cloud Run, BigQuery, IAM, containerisation, and CI/CD tooling
• Experience working within startup, or other lean engineering environments
• Interest in AI adoption, automation, analytics, or operational transformation projects

What They Offer

• Up to $300,000 total cash compensation including bonus
• High levels of ownership and technical influence
• Opportunity to shape engineering culture, processes, and platform architecture
• Greenfield environment with modern technologies and no legacy estate
• Clear career progression as the engineering organisation scales

How to Apply

If you are a hands-on Principal Software Engineer with strong Python expertise, production LLM experience, and a passion for building and mentoring within a growing AI business, please apply for a confidential discussion.

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Lead Data Scientist

London – 4x a week

The Company
They are a fast-growing technology organisation that helps businesses unlock value from complex data through advanced analytics, machine learning, and AI-driven decision-making. Their products support a range of commercial use cases, with a strong focus on delivering measurable business outcomes. As they continue to scale, they are investing heavily in their Data & AI capabilities.

The Role

• Lead, mentor, and develop a team of Data Scientists while defining best practices across the function
• Design and deploy machine learning models across forecasting, customer segmentation, and propensity modelling
• Own end-to-end model development including feature engineering, validation, deployment, and monitoring
• Partner with Engineering and Product teams to build scalable, production-ready data science solutions
• Translate analytical outputs into clear commercial recommendations for senior stakeholders
• Drive the adoption of AI tooling and robust model governance across the data science lifecycle

Your Skills & Experience

• Strong commercial experience in Data Science, Machine Learning, or Applied AI
• Experience leading and developing Data Science teams
• Advanced Python and SQL skills
• Expertise in supervised and unsupervised machine learning techniques
• Experience deploying models into production environments using MLOps practices
• Strong communication skills with the ability to influence technical and non-technical stakeholders

What They Offer

• Performance-related bonus
• Private healthcare and additional benefits package
• Opportunity to shape and scale a Data Science function
• Exposure to cutting-edge AI and machine learning projects
• Clear career progression in a high-growth environment

How to Apply
If you’re looking for a Lead Data Scientist opportunity that combines leadership, technical depth, and business impact, please apply today through Harnham.

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AI Product Director

Location: San Francisco, CA

Compensation: $300,000pa + Bonus + Equity

Drive Enterprise AI Transformation

We’re partnering with a rapidly growing financial technology organisation that is scaling an AI-first operating model across its business.

This is a rare opportunity for an experienced AI Product leader to shape the future of an organisation undergoing significant transformation. You’ll work directly with executive leadership to define the AI roadmap, redesign business processes through AI and Data Science, and build a high-performing AI Product function.

This isn’t a role focused on incremental feature delivery. We’re looking for someone who has fundamentally reimagined how organisations operate, leveraging AI to redesign workflows, decision-making processes, and customer experiences from the ground up.

You’ll lead multiple concurrent AI initiatives, manage AI Product Managers, partner closely with Data Science and Engineering teams, and act as the central leader responsible for translating AI strategy into measurable business outcomes.

What You’ll Be Doing

AI Strategy & Transformation

• Partner with executive leadership to define and execute the organisation’s AI strategy
• Create and own a multi-year AI product roadmap
• Identify opportunities to transform business processes using AI and Data Science
• Redesign workflows from first principles rather than simply digitising existing processes
• Drive adoption of AI across customer, operational, and commercial functions

Product Design & Solution Architecture

• Co-design AI product blueprints and transformation programmes
• Translate business objectives into detailed product specifications and buildable solutions
• Define AI workflows, user journeys, decision frameworks, acceptance criteria and success metrics
• Evaluate proposed technical solutions and ensure they align with business intent
• Own product design decisions from concept through deployment

Leadership & Delivery

• Lead and develop a growing team of AI Product Managers
• Oversee multiple concurrent AI initiatives and transformation workstreams
• Coordinate execution across Data Science, Engineering, Product and business stakeholders
• Establish standards for product design, process mapping and AI solution development
• Ensure projects maintain quality, velocity and business alignment

Vendor & Partner Management

• Manage external AI and engineering partners through the full delivery lifecycle
• Evaluate technical proposals and architectural recommendations
• Hold partners accountable against agreed specifications and acceptance criteria
• Ensure the organisation owns the strategy and requirements while partners execute against clearly defined deliverables

Organisational Change & Adoption

• Drive stakeholder alignment across business functions
• Lead executive conversations around AI opportunity, risk and prioritisation
• Build confidence and adoption amongst end-user communities
• Communicate programme outcomes, risks and strategic trade-offs to Senior Leadership

What We’re Looking For

Essential Experience

• 8+ years of Product Management experience with significant AI Product leadership exposure
• Proven 0-1 experience building AI products, capabilities or operating models
• Demonstrated success reimagining business processes through AI and Data Science
• Experience taking AI-enabled solutions from concept through live production deployment
• Strong product design capability, not just delivery management
• Experience leading multiple AI initiatives simultaneously
• Track record managing both internal and external engies simultaneously
• Strong cross-functional leadership across Product, Engineering and Data Science

AI & Product Expertise should be able to:

You

• Design AI products in meaningful detail
• Translate business problems into AI-enabled solutions
• Understand modern AI product development practices
• Evaluate AI architectures and product approaches
• Partner effectively with Data Science and Engineering teams
• Drive roadmap decisions with confidence

Leadership Profile

We’re particularly interested in candidates who combine:

• Strategic thinking with hands-on execution
• AI innovation with operational discipline
• Executive presence with practical delivery experience
• Vision-setting with day-to-day accountability

Ideal Background

We are particularly interested in candidates coming from:

• High-growth FinTech businesses
• AI-native technology companies
• Growth-stage product organisations
• Organisations where AI has been deployed to transform core business processes

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Lead Data Engineer

London (4 days per week in the office) | £85,000

This is a rare opportunity to build and lead a Data Engineering function within a rapidly growing AI and data-focused technology business. You’ll take ownership of engineering standards, team development, and platform-critical data infrastructure while remaining hands-on with the most impactful technical challenges.

The Company

They are an innovative SaaS organisation that helps businesses transform complex data into actionable insights. Operating across a range of industries, they deliver advanced data and AI solutions that support commercial decision-making and customer growth.

With multiple products already in market and further AI-driven solutions under development, they are investing heavily in their data capabilities as they continue to scale. This is a high-growth environment where technology plays a central role in the company’s success.

The Role

As Lead Data Engineer, you will be responsible for establishing and leading the Data Engineering function while working closely with senior stakeholders across technology, product, and data teams.

Key responsibilities include:

• Defining Data Engineering standards, processes, and best practices across the organisation.
• Leading, mentoring, and developing a growing team of Data Engineers.
• Designing and delivering scalable ETL and ELT pipelines across operational, analytical, and AI workloads.
• Taking ownership of cloud-based data platforms and modern data architecture.
• Driving improvements in data modelling, platform performance, and engineering quality.
• Leading CI/CD practices, deployment processes, and engineering governance.
• Collaborating with Data Science and AI teams to productionise machine learning outputs.
• Identifying opportunities to leverage AI-enabled development tools across the engineering lifecycle.
• Implementing monitoring, validation, and governance frameworks to ensure reliable data delivery.

Your Skills & Experience

• Commercial experience leading or managing Data Engineering teams.
• Strong SQL and Python development skills.
• Expertise building and maintaining scalable ETL and ELT pipelines.
• Strong understanding of data modelling and modern data architecture principles.
• Experience working with Azure, AWS and/or GCP cloud platforms.
• Knowledge of Git, CI/CD, DevOps practices, and deployment workflows.
• Experience improving engineering standards, processes, and team capabilities.
• Ability to work effectively with technical and non-technical stakeholders.
• Interest in AI-enabled engineering practices and modern data platforms.

What They Offer

• Direct exposure to senior technology leadership.
• Opportunity to build and shape an entire Data Engineering function.
• Work on cutting-edge AI and data products with real commercial impact.
• Clear progression opportunities as the business continues to grow and expand.

How to Apply

If you’re a Lead Data Engineer looking to combine hands-on technical leadership with the opportunity to build a function from the ground up, apply today to learn more about this exciting opportunity.

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Senior Analytics Engineer

Chicago, IL (Hybrid)

$110,000 – $150,000 + Bonus

A fast-growing financial services company is looking for a Senior Analytics Engineer to join a high-impact, business-facing data team. This role sits at the intersection of analytics engineering and data engineering, with a strong focus on SQL, data modeling, and building trusted datasets from complex source systems.

This is a hands-on position where you will work directly with raw data, design scalable data models, and take full ownership of pipelines from ingestion through to business-ready outputs. The environment is fast-paced and requires someone comfortable operating with ambiguity, solving problems independently, and working closely with stakeholders across the business.

The Role

• Build and own end-to-end data pipelines from ingestion through staging to curated data marts
• Work directly with raw and imperfect data, identifying and resolving data quality issues upstream
• Design and implement scalable data models to support analytics and business decision-making
• Write complex, high-performance SQL to transform and validate data
• Develop and maintain workflows using modern data tools and orchestration frameworks
• Investigate and debug data issues across systems, ensuring accuracy and reliability
• Implement data quality checks and monitoring to prevent downstream issues
• Partner with business stakeholders to understand requirements and deliver trusted datasets

Requirements

• 5+ years of experience in analytics engineering or data engineering
• Advanced SQL skills including joins, window functions, and performance optimization
• Strong experience with data modeling, including building marts from raw data
• Hands-on experience with Snowflake, dbt, Airflow, and modern ELT workflows
• Proficiency in Python for data processing and automation
• Experience working with cloud platforms, ideally AWS
• Ability to work independently and solve problems in ambiguous environments
• Strong communication skills and experience working with non-technical stakeholders

Nice to Have

• Experience in financial services or other data-intensive industries
• Exposure to database performance tuning, indexing, and query optimization
• Experience working with messy or poorly documented data sources

This is an opportunity to join a lean, high-performing team where data plays a central role in driving business decisions. The role offers strong ownership, visibility, and the chance to build scalable data solutions from the ground up.

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AI Product Manager

San Francisco, CA (Hybrid | 3 Days Onsite)

Compensation: Up to $245,000 Base + Bonus

We’re partnering with an innovative, AI-first organization transforming complex business operations through intelligent automation and advanced AI technologies. This is a unique opportunity for an experienced AI Product Manager to lead the discovery, design, and delivery of high-impact AI solutions that directly influence business performance.

What You’ll Do

• Partner with business leaders to uncover opportunities for AI-driven transformation.
• Redesign workflows and processes using modern AI, LLMs, and agent-based technologies.
• Translate business needs into detailed product requirements and solution designs.
• Drive end-to-end execution with engineering teams and external technology partners.
• Define success metrics, quality frameworks, and adoption strategies to ensure measurable impact.

What We’re Looking For

• 3-5+ years of Product Management experience with exposure to AI-enabled products.
• Strong discovery, process-mapping, and stakeholder management skills.
• Ability to turn ambiguous challenges into clear product strategies and execution plans.
• Familiarity with AI/LLM technologies and their practical business applications.
• Experience in fast-paced, high-growth environments is highly preferred.

Why This Role?

Join a team where AI is already delivering real business value, not sitting in experimentation. You’ll have significant ownership, direct executive visibility, and the opportunity to shape the future of AI-powered products at scale.

Location: San Francisco, CA (Hybrid, 3 days onsite)

Salary: Up to $245,000 Base + Bonus

Work Authorization: US Citizen or Green Card holders – sponsorship not offered at this time

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About the Opportunity

Are you a hands-on architect who thrives on building high-performance, automated private cloud infrastructure at a massive scale?

We are partnering with a large global technology and semiconductor manufacturing giant headquartered in Dallas, TX. Boasting over $17B+ in recent annual revenue and currently executing an aggressive $60B+ domestic infrastructure expansion, this organization is anchoring the future of global tech manufacturing.

We are seeking a Principal Private Cloud Architect to serve as the critical connective layer between their massive enterprise compute, storage, and network infrastructure. Reporting directly to the Director of Public + Private Cloud, this is a 100% hands-on role requiring a blend of deep platform engineering, SRE expertise, and architectural vision.

There is a recognized gap at both the engineering and architect levels; the current team leans heavily on policy and compliance, so we need a deeply technical builder who can establish high-performance infrastructure and true technical depth.

Note on Focus: This is a pure Private Cloud, Data Center Infrastructure, and Infrastructure-as-Code role. If you are looking for a strategy-heavy, pure public cloud role, this is not the right fit.

Key Responsibilities

• Bridge the Infrastructure: Act as the ultimate connective tissue between existing enterprise compute and storage hardware, ensuring the network layer is optimized and ready for next-gen workloads.
• Automate Everything: Drive an “Infrastructure as Code” mindset across the organization, focusing heavily on treating Kubernetes as code and implementing heavy automation (Terraform or similar).
• Architect & Engineer: Maintain absolute technical depth. You will not just draw diagrams; you will write code, build an internal “AWS-like” self-service developer platform, and actively engineer the platform.
• Secure by Design: Architect robust, end-to-end security frameworks directly into the infrastructure fabric from a design perspective, going beyond mere policy to implement zero-trust concepts.

Required Technical Expertise

• Experience: Minimum 8+ years of deep private cloud and enterprise data center infrastructure background.
• Container Platforms: Advanced mastery of Kubernetes as code, with production experience deploying enterprise container platforms like OpenShift or SUSE Rancher.
• Data & Streaming Ecosystems: Hands-on experience leveraging Kafka and Spark for distributed data processing and platform integration.
• Automation / IaC: Strong proficiency with Terraform or similar automation frameworks.
• Advanced Networking: Deep understanding of data center networking, including L2/L3, EVPN/VXLAN, SDN, and load balancing.
• Hybrid Integration: Proven ability to connect massive on-prem footprints to public cloud providers (AWS, Azure, or GCP).

Preferred/Nice-to-Haves

• Experience designing for High-Performance Computing (HPC) or GPU-based workloads.
• Familiarity with observability tools (Grafana, Prometheus) and GitOps frameworks.

What We Are NOT Looking For

• Pure public cloud architects who do not have a background in bare-metal or data center infrastructure.
• High-level strategists or policy-heavy managers who no longer possess deep, hands-on engineering capabilities.
• Candidates lacking practical Platform Engineering or SRE experience.

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