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VP Enterprise Data & Architecture
London | up to £180,000 + Benefits
This is a rare opportunity to shape and lead an enterprise-wide data, architecture, and AI strategy within a growing, data-driven organisation. Sitting at executive leadership level, you will drive the development of scalable data capabilities, modern technology architecture, and AI adoption programmes that directly influence business performance and decision-making.
The Company
They are a well-established organisation that places data at the centre of business strategy and operational excellence. With continued investment in technology, analytics, and AI, they are focused on building a scalable and future-ready data ecosystem. The business offers a collaborative environment where senior leaders work closely together to drive innovation, efficiency, and growth. This role has significant visibility and influence across the organisation.
The Role

• Lead the enterprise data, analytics, systems architecture, AI enablement, and core IT functions.
• Define and execute the enterprise data strategy to improve data accessibility, quality, governance, and business value.
• Build and develop high-performing multidisciplinary teams across data engineering, analytics, architecture, and technology.
• Own the enterprise data platform and architecture roadmap, ensuring scalability, reliability, and cost efficiency.
• Establish data governance frameworks, standards, and best practices across the organisation.
• Partner with executive stakeholders to align data and technology initiatives with strategic business objectives.
• Drive enterprise AI adoption, governance, and capability development, ensuring measurable business impact.
• Lead decisions around technology investments, vendor management, and build versus buy strategies.
• Deliver reporting and analytics capabilities that support faster and more effective business decision-making.
• Ensure seamless integration across enterprise systems, platforms, and business functions.

Your Skills & Experience

• Strong leadership experience across enterprise data, analytics, architecture, and technology functions.
• Proven ability to develop and execute large-scale data and digital transformation strategies.
• Experience leading cloud-based data platforms and modern data architectures.
• Deep understanding of data governance, data quality, and enterprise-wide analytics.
• Strong knowledge of AI adoption, enablement, governance, and operationalisation within a business environment.
• Ability to influence and engage executive stakeholders, translating technical strategy into commercial outcomes.
• Experience building, scaling, and leading high-performing technical teams.
• Strong commercial awareness with the ability to prioritise initiatives based on business value and ROI.
• Broad technical expertise across data engineering, enterprise architecture, systems integration, and IT operations.

What They Offer

• Competitive executive-level salary and comprehensive benefits package.
• Opportunity to shape the future of enterprise data, architecture, and AI at a strategic level.
• High visibility with senior leadership and direct impact on business performance.
• A collaborative and forward-thinking culture with continued investment in technology and innovation.
• Clear scope to build teams, influence strategy, and deliver transformational change.
• Hybrid working arrangement with regular collaboration in the London office.

How to Apply
If you are an experienced data and technology leader looking to drive enterprise-wide transformation through data, analytics, architecture, and AI, please apply with your CV to Felix Igu.

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Data Analyst 12 Month FTC
London (hybrid) | up to £50,000
This is an excellent opportunity for a commercially focused Data Analyst to join a growing retail business and play a key role in shaping customer, retail, and commercial strategy. Working across multiple teams, you will turn complex datasets into actionable insights that influence decision-making, customer experience, and business performance.
The Company
They are a well-established consumer-focused organisation with a strong presence across retail and digital channels. Data sits at the heart of their decision-making process, and they are continuing to invest in their analytics capability to support future growth. The business offers a collaborative environment where data professionals can have genuine visibility and impact across senior stakeholders. You will work closely with commercial, customer experience, finance, and analytics teams to help drive business performance.
The Role
You will be responsible for delivering customer, retail, and commercial insights that support strategic and operational decision-making.
Key responsibilities include:

• Analysing customer behaviour, retail performance, and commercial trends to generate actionable insights.
• Developing and maintaining KPI reporting, dashboards, and performance metrics using data visualisation tools.
• Producing regular reporting on customer purchasing patterns, product performance, and commercial outcomes.
• Supporting location and expansion decisions through store performance analysis and market opportunity assessment.
• Measuring customer satisfaction and identifying opportunities to improve customer experience and retention.
• Building customer segments and supporting targeted customer engagement initiatives.
• Evaluating campaign performance, including customer segmentation and A/B testing analysis.
• Partnering with senior stakeholders to provide data-driven recommendations and support forecasting activities.
• Conducting ad hoc analysis to answer key business questions and identify growth opportunities.

Your Skills & Experience

• Strong commercial experience in a Data Analyst, Commercial Analyst, Customer Analyst, or similar analytics role.
• Experience working with large transactional and customer datasets.
• Strong SQL skills and experience working with modern data platforms such as Snowflake.
• Experience creating dashboards and reports using data visualisation tools such as Power BI, Tableau, or Looker.
• Strong customer analytics, segmentation, and behavioural analysis experience.
• Ability to translate data into clear business recommendations for non-technical stakeholders.
• Experience working across multiple stakeholder groups in a fast-paced commercial environment.
• Strong analytical, problem-solving, and communication skills.
• Retail, e-commerce, or consumer-focused industry experience is highly beneficial.

What They Offer

• Salary of £50,000
• Competitive benefits package.
• Exposure to senior business stakeholders and strategic projects.
• Opportunity to influence customer, retail, and commercial decision-making.
• Collaborative working environment with strong opportunities for professional development and career progression.
• Hybrid working flexibility.

How to Apply
If you are a Data Analyst with strong SQL, customer analytics, and commercial insight experience, please apply today to learn more about this opportunity.

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This is an opportunity for a Data Analyst to join a retail fashion buisness delivering insight across retail, customer and commercial functions. You’ll work with stakeholders across the organisation, using data to support decision-making and performance improvement.

The Company
They are a consumer-focused business with an established retail presence and an expanding data function. Data is central to how they understand customer behaviour, measure performance and support growth. The role sits within a collaborative team and offers exposure to a range of business areas.

The Role
You will:

• Analyse customer, retail and finance data to support business decisions.
• Provide insights to support new store openings and expansion plans.
• Measure store performance, customer satisfaction and operational KPIs.
• Assess the impact of retail initiatives, events and pop-up activity.
• Analyse sales cannibalisation across stores and channels.
• Support forecasting and predictive modelling projects.
• Produce reporting on customer behaviour, purchasing patterns and product trends.
• Identify opportunities to improve customer retention, loyalty and growth.
• Measure the performance of customer engagement campaigns across multiple markets.
• Build customer segments and analyse targeting strategies.
• Evaluate A/B test results and campaign outcomes.
• Develop and maintain dashboards and reporting solutions.
• Present insights and recommendations to senior stakeholders.

Your Skills & Experience

• Strong advanced Excel and SQL as well as experience with Power BI or Tableau.
• Experience analysing customer, commercial, marketing or retail data.
• Ability to work with large datasets and generate actionable insights and present that back to the team.
• Experience building dashboards and management reporting.
• Strong communication and stakeholder management skills.
• Experience with customer segmentation, campaign analysis or loyalty programmes is beneficial

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Retail & Customer Experience Data Analyst

Luxury Fashion Brand | £50,000 | Hybrid (West London) | 12-Month FTC

Join a fast-growing premium retail brand undergoing significant UK and international expansion. We’re looking for a commercially minded Data Analyst to help drive decisions across retail operations, customer experience, and customer insights.

Working closely with senior stakeholders, you’ll analyse customer, retail and commercial performance data to uncover actionable insights that improve customer retention, store performance, and overall business growth.

What You’ll Be Doing

• Deliver analysis on customer behaviour, retail performance and commercial trends

• Support new store openings and expansion decisions through data-led recommendations

• Build dashboards and reports using SQL, Excel and BI tools

• Analyse customer journeys, purchasing trends, retention and loyalty performance

• Measure the success of campaigns, customer engagement initiatives and retail events

• Present clear, actionable insights to senior stakeholders across the business

• Create customer segments and identify opportunities for growth and personalisation

What We’re Looking For

• Experience in a Data Analyst, Customer Analyst, Commercial Analyst or Insight Analyst role

• Strong SQL and Excel skills

• Experience using Power BI, Tableau or similar visualisation tools

• Proven ability to turn data into meaningful business recommendations

• Strong stakeholder management and communication skills

• A commercial mindset with an interest in customer behaviour and retail performance

• Comfortable working in a fast-paced, evolving environment

What’s Different About This Role?

This is not a pure data science position. The successful candidate will be someone who can bridge the gap between analytics and commercial decision-making, translating complex data into practical recommendations that drive business performance.

Salary: Up to £50,000
Location: Hybrid, West London (3 days per week)
Contract: 12-Month Fixed-Term Contract

For more information or to apply, please get in touch.

Find out more and apply via the link below!

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VP Data & AI Transformation
London | £160,000 – £180,000

This is a rare opportunity for an experienced data leader to shape the future of a business that is investing heavily in data, AI, and technology. As a newly created executive-level position, you’ll play a pivotal role in building a unified enterprise data function, driving AI adoption, and ensuring data becomes a core driver of growth, customer understanding, and business performance.

The Company
This established technology business operates at the intersection of data, analytics, and digital innovation, helping organisations make smarter commercial decisions through data-driven insights.

They are looking for a senior leader to bring together multiple teams under a unified strategy, driving greater value from data across the organisation and accelerating AI adoption at scale.

The Role
As VP, you will sit at the heart of the organisation’s data and AI journey, partnering closely with executive stakeholders to drive business impact.

Responsibilities include:

• Define and deliver the enterprise data, architecture, and AI strategy
• Create a 360-degree customer view to drive commercial and operational decision-making
• Lead Data Engineering, Analytics, Architecture, IT, and AI functions under a unified vision
• Drive AI adoption, automation, and enterprise-wide data capabilities
• Establish best practices across data governance, reporting, and systems architecture
• Partner with senior leadership to deliver initiatives across growth, product, pricing, and efficiency
• Build and lead high-performing teams while driving organisational change

Your Skills & Experience

• Leadership experience within Data, Analytics, Architecture, or Technology functions
• Proven success leading multiple technical teams and disciplines
• Strong track record delivering enterprise data strategies and transformation programmes
• Experience leveraging AI and data to drive measurable business outcomes
• Strong stakeholder management skills with executive-level influence
• Expertise in modern data platforms, governance, and analytics ecosystems
• Commercial mindset with the ability to translate technical strategy into business value
• Demonstrated success building trust, scaling teams, and leading through change

How to Apply
If you’re an experienced data leader looking to build a market-leading enterprise data capability and drive meaningful business transformation through data and AI, please apply today.

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Chief Data Officer

Up to £180,000 + Benefits
London
This is a fantastic opportunity to join a business at a pivotal stage of its technology and data transformation journey, taking ownership of a greenfield enterprise data strategy and building a modern data capability from the ground up.

THE COMPANY

Our client is a well-established, private equity-backed financial services organisation. The business is currently undergoing a significant technology and digital transformation, with substantial investment being made across platforms, customer experience, data capabilities and AI innovation.

With strong executive sponsorship and board-level commitment to technology, the organisation is seeking to modernise its technology estate and unlock greater value from its data assets.

THE ROLE

You will take ownership of the organisation’s data and AI strategy, establishing a modern data platform capable of driving insight, analytics and improved customer outcomes.
Key responsibilities include:

• Reviewing and evolving the existing data and AI strategy.
• Defining the future-state data architecture, tooling and delivery model.
• Building a data lakehouse capability and supporting engineering function from scratch.
• Delivering data platforms that support customer onboarding, conversion and predictive analytics.
• Assessing, developing and scaling the existing team while creating a high-performing data capability.
• Driving delivery, stakeholder engagement and executive-level communication.
• Establishing effective governance, processes and operating models across the data function.

YOUR SKILLS AND EXPERIENCE

You will bring strong capability in:

• Enterprise data strategy and data platform leadership.
• Data engineering, business intelligence and advanced analytics.
• Building and scaling modern data functions within complex organisations.
• Leading technology transformation programmes and influencing senior stakeholders.
• Translating technical capability into measurable business outcomes
• Experience within regulated environments such as financial services, insurance or lending.

THE BENEFITS

You will receive a salary of up to £180,000 depending on experience, along with a comprehensive benefits package.

HOW TO APPLY

Please register your interest by sending your CV to Molly Bird via the apply link on this page.
Please note: Sponsorship is not available for this position.

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CREDIT RISK CONSULTANT

SALARY BETWEEN £50,000 – £70,000

5 DAYS A WEEK IN-OFFICE

LONDON

Harnham are working with a specialist consultancy seeking Credit Risk Modelling Consultants to join their expanding team. This is an excellent opportunity for talented modellers with experience across IRB, IFRS 9, or model validation who are looking to accelerate their careers within a high-growth environment.

THE COMPANY

A rapidly growing credit risk consultancy working with a range of regulated lending institutions across the UK. The business specialises in credit risk modelling, data solutions, and emerging analytics technologies, delivering complex projects across IRB, IFRS 9, scorecard development, and model risk. As an early-stage consultancy experiencing significant growth, employees have the opportunity to take on real responsibility from the outset and contribute to both client delivery and the future direction of the business.

THE ROLE

You will work on a broad range of credit risk modelling projects across retail lending portfolios, supporting clients with model development, validation, scorecard design, and regulatory modelling initiatives. This role offers significant exposure to client-facing work and the opportunity to own key project deliverables early in your career.

Specifically, you can expect to be involved in:

• Developing, testing, calibrating, and documenting credit risk models.
• Supporting IFRS 9, IRB, scorecard development, and model validation projects.
• Working with large datasets using Python and SQL to deliver analytical insights.
• Producing model documentation and presenting findings to stakeholders.
• Collaborating with clients to understand portfolios, processes, and modelling requirements

SKILLS AND EXPERIENCE

The successful Credit Risk Consultant must have the following skills and experience:

• 3-8 years’ experience within credit risk modelling, model validation, analytics, or a related quantitative field.
• Experience with IFRS 9, IRB, PD, LGD, scorecards, or model risk management.
• Strong Python programming skills and working knowledge of SQL.
• Degree in a quantitative discipline such as Mathematics, Statistics, Economics, Engineering, Physics, Computer Science, or Finance.
• Strong communication skills with the ability to explain technical concepts clearly to non-technical audiences.

BENEFITS

The successful Credit Risk Consultant will receive a salary up to £70,000.

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Senior Product Engineer

London (Hybrid) | £115,000 to £140,000 + Equity

This is an opportunity to join an early-stage AI business at a pivotal point in its growth. As one of the first senior engineering hires, you will play a key role in shaping the product, influencing technical direction, and building scalable AI-powered solutions for enterprise customers.

The Company

They are a venture-backed AI startup building advanced software that helps organisations better understand customer behaviour and make more informed business decisions. Having secured significant early-stage funding and already engaging with enterprise customers, they are moving from proof-of-concept work into wider commercial growth. The team combines expertise across product, engineering and research, with a strong focus on delivering real-world impact through AI.

The Role

You will take ownership of core product development, working closely with senior leadership to build and scale an AI-driven platform.

Responsibilities include:

• Building and shipping product features across the full stack
• Developing and optimising LLM-enabled applications for enterprise users
• Owning retrieval augmented generation pipelines and AI integrations
• Designing scalable API-first products and backend services
• Improving model performance, reliability, evaluation frameworks and guardrails
• Managing token usage, response quality and cost optimisation strategies
• Contributing to cloud infrastructure and deployment processes within AWS
• Establishing engineering best practices across testing, delivery and software quality
• Working closely with stakeholders to shape product direction and priorities

Your Skills & Experience

• Strong commercial experience as a Product Engineer or Software Engineer
• Experience building and scaling LLM-powered products in production environments
• Strong backend engineering skills, ideally with Node.js and TypeScript
• Experience designing APIs and distributed systems
• Knowledge of cloud platforms, ideally AWS
• Comfortable working across both product and technical decision-making
• Experience in startup or high-growth environments where ownership is expected
• Strong communication skills and the ability to work autonomously
• Exposure to React or modern frontend technologies is beneficial
• Experience within regulated industries, including Financial Services, is advantageous but not essential

What They Offer

• Opportunity to influence engineering strategy from an early stage
• Direct exposure to founders and senior leadership
• Significant scope for progression as the team scales

How to Apply

If you are interested in building AI-powered products from the ground up and want to play a key role in an ambitious, venture-backed technology business, please apply today.

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Senior Risk Data Scientist
Remote (London) | £80,000 – £85,000 + Benefits

This is an opportunity to join an innovative data-driven business that is transforming how risk is assessed and managed within the payments ecosystem. Working at the intersection of Data Science, Machine Learning, and FinTech, you will have the chance to solve complex commercial challenges, influence product development, and help shape cutting-edge risk solutions from the ground up.

The Company
They are a fast-growing technology business focused on helping organisations better understand and manage risk through advanced analytics and machine learning. Their proprietary solutions combine large-scale transactional data with external data sources to deliver actionable insights and predictive risk intelligence. Operating across international markets, they offer a collaborative environment where data science plays a central role in business success.

The Role
As a Senior Data Scientist, you will be responsible for developing and enhancing predictive risk capabilities while working closely with commercial stakeholders and external partners.
Key responsibilities include:

• Using advanced analytics and investigative techniques to identify, monitor, and understand emerging risk trends across customer portfolios.
• Building, deploying, and monitoring predictive models and risk rules to improve decision-making and risk assessment.
• Applying machine learning and statistical techniques to complex real-world data challenges.
• Collaborating with external stakeholders to understand requirements and influence product development.
• Contributing to the development of innovative risk management methodologies and intellectual property.

Your Skills & Experience

• Strong commercial experience using Python for data analysis and modelling.
• Advanced SQL skills for extracting, transforming, and analysing large datasets.
• Experience working within credit risk, fraud analytics, payments risk, or a related quantitative environment.
• Practical experience building supervised machine learning models such as logistic regression and gradient boosting models.
• Ability to work autonomously, solve problems proactively, and thrive in a fast-moving environment.
• Exposure to clustering, anomaly detection, LLM applications, or agentic AI approaches would be advantageous.
• Strong commercial understanding of risk-based products, financial services, or payments environments is beneficial.

How to Apply
If you are an experienced Data Scientist with strong Python, SQL, and machine learning expertise and are excited by the opportunity to solve complex risk challenges within a high-growth environment, apply today.

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