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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.

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Senior Product Analyst

Location: Remote (UK)
Salary: Up to £70,000 + Bonus + Equity

The Opportunity

We’re partnering with a high-growth consumer platform looking for a Senior Product Analyst to own analytics across key revenue-generating product journeys.

This is a highly influential role where you’ll work closely with Product and Growth teams to drive conversion, experimentation, customer activation and product performance. You’ll be responsible for turning complex customer data into actionable recommendations that directly shape product strategy and business growth.

What You’ll Be Doing

• Own analytics across customer acquisition, conversion and onboarding funnels.
• Identify growth opportunities and proactively recommend improvements.
• Design, implement and analyse A/B and multivariate experiments.
• Define tracking requirements, KPIs and success metrics for new product features.
• Build dashboards and self-serve reporting solutions for stakeholders.
• Influence product decisions through data-driven insights and commercial thinking.
• Mentor analysts and help drive best practices across analytics and experimentation.

What We’re Looking For

• Strong Product Analytics experience within a marketplace, SaaS, subscription or digital product environment.
• Advanced SQL skills.
• Hands-on experience with experimentation, A/B testing and statistical analysis.
• Experience with product analytics tools such as Amplitude, Mixpanel, Segment or similar.
• Strong understanding of product metrics including conversion, activation and retention.
• Excellent stakeholder management and data storytelling skills.
• Experience with dbt, Python or R would be advantageous.

How to Apply

If you’re interested in learning more about this opportunity, apply directly or get in touch with me!

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DATA SCIENTIST

SALARY BETWEEN £50,000-£60,000

LONDON

HYBRID WORKING (ONCE A WEEK IN-OFFICE)

Harnham are working with an early-stage FinTech lender that is looking to hire a Data Scientist to join its growing credit function. This is an excellent opportunity for someone with strong quantitative skills to have a direct impact on lending decisions and help shape a business from an early stage.

THE COMPANY

This growing FinTech lender is building a modern lending platform that combines data-driven decision making with strong credit risk practices. Having recently secured funding and obtained the regulatory foundations needed for growth, the business is entering an exciting phase of expansion. Led by an experienced leadership team with a proven track record in consumer lending and financial services, the company offers the opportunity to join early, learn from industry experts, and play a key role in shaping the future of the business.

THE ROLE

As a Data Scientist, you will focus on credit risk, decisioning, and lending strategy. You will play a key role in developing and implementing analytical solutions that support lending decisions, pricing, affordability assessments, and portfolio performance.

Specifically, you can expect to be involved in the following:

• Building and monitoring credit risk scorecards, pricing models, and decisioning strategies.
• Developing analytical solutions using customer, transactional, and external data sources.
• Supporting affordability analysis, portfolio monitoring, and performance reporting.
• Enhancing lending policies and strategies through data-driven insights.
• Collaborating with commercial, product, and technology teams to improve lending outcomes.

SKILLS AND EXPERIENCE

The successful Data Scientist will have the following skills and experience:

• A strong academic background with a degree in a quantitative STEM discipline.
• 2-4 years of experience in Data Science, Credit Risk Analytics, or a related quantitative field.
• Experience within financial services, lending, insurance, or a similarly regulated environment.
• Strong Python and SQL skills.
• Knowledge of statistical modelling and machine learning techniques.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.

BENEFITS

The successful Data Scientist will receive a salary up to £60,000.

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Staff / Principal AI/ML Engineer

Location: San Mateo, CA – Hybrid, 2-3 days/week
Remote: Exceptional remote candidates may be considered
Compensation: $250,000-$350,000 base + equity
Level: Mid-Level through Principal, based on experience

The Opportunity

We’re partnering with a fast-growing enterprise AI company building the next generation of AI-powered data engineering and analytics technology.

The company is developing production AI agents that allow enterprise users to interact with complex data through natural language. Rather than manually building data transformations and pipelines, users can describe what they need and AI agents generate, modify, validate, and deploy production-ready workflows.

They’re expanding a small, highly technical AI engineering organization and are looking for engineers who want significant ownership over how these systems are designed and built.

This is not a research or proof-of-concept environment. The systems you build will ship directly into a customer-facing enterprise product.

What You’ll Own

You’ll work across the intelligence layer of the platform, including:

• Architecting multi-step AI agents from design through production
• Building retrieval and knowledge systems that allow agents to reason over complex enterprise data
• Developing RAG pipelines, vector search, semantic retrieval, and knowledge graph capabilities
• Building AI systems capable of generating and modifying production-quality code and data transformations
• Designing evaluation frameworks to measure agent quality, reliability, and performance
• Making decisions around model selection, prompting, fine-tuning, and build-vs-buy
• Solving production challenges involving latency, throughput, scalability, reliability, and observability
• Taking large, ambiguous technical problems from initial concept through deployment
• Helping establish architecture and engineering standards as the AI organization continues to grow

What We’re Looking For

We’re looking for engineers who have built real AI products-not just experiments.

Strong candidates will have:

• Experience building and deploying AI agents or sophisticated LLM-powered systems into production
• Strong software and backend engineering fundamentals
• Advanced Python experience
• Experience with RAG and retrieval architectures
• Experience with vector databases, semantic search, or knowledge graphs
• Experience designing evaluation systems for production AI
• A track record of owning technically complex projects from architecture through deployment
• Experience operating and supporting production systems
• The ability to make architectural decisions in ambiguous, rapidly changing environments
• A strong product mindset and desire to build customer-facing technology

Particularly Valuable Experience

Experience with any of the following would be beneficial:

• Coding agents or code-generation systems
• Knowledge graphs / Neo4j
• Vector databases
• AWS
• Kubernetes
• Go
• Scala
• Java
• Databricks
• Snowflake
• BigQuery
• Spark
• DuckDB
• Large-scale data processing or analytics platforms

Who Will Do Well Here

You’ll likely thrive in this environment if you’re a hands-on builder who enjoys solving problems without a predefined roadmap.

The team moves quickly and expects engineers to challenge assumptions, experiment with new approaches, discard ideas that aren’t working, and continuously rethink architecture as AI technology evolves.

This role is particularly well suited for someone who wants substantial technical ownership and the opportunity to influence how production AI agents are built at the platform level.

Compensation

Base Salary: $250,000-$350,000, depending on level and experience

Equity: Stock options with a four-year vesting schedule and one-year cliff

The company also provides comprehensive health benefits, flexible PTO, professional development support, and additional wellness benefits.

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Retail Media Data Analyst
Southampton (1 day per week in office) | Up to £50,000

This is an exciting opportunity for a commercially focused Retail Media Data Analyst to join a growing analytics function and help shape the future of retail media performance. You’ll work with rich customer data, influence marketing strategy, and deliver insights that drive measurable business impact across a well-established consumer brand.

The Company
They are a leading consumer-focused organisation with a strong customer base and a growing investment in data, analytics, and retail media. Data plays a central role in decision-making, helping teams better understand customer behaviour and marketing effectiveness. With a collaborative culture and a focus on innovation, they offer the opportunity to work on high-impact projects that directly influence commercial outcomes.

The Role
As a Retail Media Data Analyst, you will:

• Deliver insight and analysis across Retail Media, CRM, and Loyalty activities
• Build and evaluate customer audiences and segmentation strategies for marketing activation
• Measure campaign effectiveness, including uplift, incrementality, ROI, and commercial performance
• Produce post-campaign reviews with clear recommendations for future activity
• Analyse customer health metrics including acquisition, engagement, retention, and customer value
• Partner with commercial and marketing stakeholders to demonstrate the value of customer data
• Develop actionable insights that influence audience targeting and campaign strategy
• Contribute to scalable analytical solutions within a collaborative analytics environment
• Monitor industry developments and emerging best practices across retail media and customer analytics

Your Skills & Experience

• Strong commercial experience within the retail sector
• Advanced SQL skills with the ability to work with complex datasets
• Experience using Python or R for analytical projects
• Proven ability to analyse and evaluate marketing campaign performance
• Experience using customer data to inform business decisions and improve marketing effectiveness
• Understanding of statistical methodologies, including hypothesis testing and confidence intervals
• Exposure to cloud-based data platforms such as Databricks, Snowflake, or BigQuery
• Strong stakeholder management and communication skills
• Comfortable working within a collaborative, agile environment

How to Apply
If you’re interested in combining customer analytics, retail media, and commercial insight in a high-impact role, apply today to learn more.

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Product Analyst

Fully remote

£60,000 – £70,000 + bonus

This is an opportunity for a Senior Product Analyst to take ownership of product growth analytics within a fast-growing digital platform. You’ll work at the heart of product decision-making, driving experimentation, influencing roadmap priorities, and uncovering insights that directly impact customer acquisition, activation, and retention.

The Company

They are a high-growth, consumer-focused technology business with a strong product-led culture and an expanding international customer base. Data plays a central role in how they build products, improve customer experiences, and drive commercial outcomes. With significant investment in analytics, experimentation, and innovation, they offer an environment where analytical thinking is genuinely valued. The organisation operates with a remote-first mindset and prioritises collaboration, learning, and continuous improvement.

The Role

You will:

• Own product analytics across key customer growth and revenue journeys.
• Analyse acquisition, conversion, activation, engagement, and retention performance to identify opportunities for improvement.
• Design, execute, and evaluate A/B and multivariate experiments to optimise the user experience.
• Define tracking requirements, success metrics, and measurement frameworks for new product features.
• Build dashboards and self-service reporting solutions to empower stakeholders with data-driven insights.
• Partner closely with Product, Commercial, and Leadership teams to influence decision-making.
• Translate complex analysis into clear, actionable recommendations.
• Support and mentor analysts, helping to elevate analytics best practice across the wider team.

Your Skills & Experience

You will have:

• Strong commercial experience in product analytics within a digital business, marketplace, subscription platform, SaaS organisation, or similar environment.
• Advanced SQL skills and the ability to independently manage end-to-end analytical projects.
• Experience with product analytics and event tracking platforms such as Amplitude, Mixpanel, Segment, or equivalent tools.
• Strong knowledge of experimentation methodologies, including A/B testing and statistical analysis.
• Excellent understanding of product performance metrics, including conversion, activation, engagement, retention, and churn.
• The ability to communicate complex findings clearly to both technical and non-technical audiences.
• A proactive mindset, with the confidence to identify opportunities and make recommendations independently.
• Exposure to Python, R, dbt, or AI-powered analytics tools would be beneficial.

What They Offer

• Salary of £65,000 – £70,000.
• Performance-related bonus.
• Generous equity package.
• Fully remote working within the UK.
• Private healthcare and wellbeing support.
• Home office allowance and equipment provision.
• Dedicated personal development opportunities and learning budget.
• Enhanced annual leave allowance.
• Clear opportunities to influence product strategy and progress your career within a growing analytics function.

How to Apply

If you’re a Senior Product Analyst looking to shape product strategy through experimentation, customer insight, and data-driven decision-making, apply today to learn more about this opportunity.

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Senior Analytics Consultant

London | Competitive Salary + Benefits

This is an exciting opportunity for a Senior Analytics Consultant to join a growing analytics function that helps leading brands make smarter marketing and media investment decisions. You’ll work on high-impact projects, build advanced analytical models, and turn complex data into clear commercial recommendations that drive measurable business outcomes.

The Company

They are a data-driven consultancy that partners with organisations to improve marketing effectiveness, optimise performance, and maximise return on investment. Their team combines analytical expertise with commercial insight to help clients make evidence-based decisions. With an established international presence and a collaborative culture, they offer exposure to diverse projects and stakeholders across multiple industries. They are committed to professional development, innovation, and continuous learning.

The Role

• Develop and deliver advanced analytics projects focused on marketing and commercial performance.
• Build, refine, and interpret marketing mix modelling (MMM) and other analytical frameworks.
• Transform complex datasets into actionable insights and strategic recommendations.
• Engage directly with clients to gather data, present findings, and support implementation of recommendations.
• Contribute to business growth by identifying opportunities to add value for clients.
• Support and mentor junior team members, helping to develop capability across the wider team.
• Collaborate with senior stakeholders to ensure projects are delivered successfully and efficiently.

Your Skills & Experience

• Strong commercial experience in analytics, modelling, or data consultancy environments.
• Recent hands-on experience building Marketing Mix Models (MMM).
• Excellent analytical and numerical problem-solving skills.
• Understanding of marketing, media, pricing, promotions, or commercial performance analysis.
• Ability to communicate technical findings clearly to non-technical stakeholders.
• Experience using Excel, PowerPoint, and Word in a professional setting.
• Exposure to Python, R, SQL, or VBA would be highly advantageous.
• Ability to manage multiple priorities while maintaining high-quality deliverables.

What They Offer

• Competitive salary and benefits package.
• Flexible working arrangements that support work-life balance.
• Wellbeing initiatives and employee support programmes.
• Exposure to high-profile client projects with meaningful business impact.
• Clear opportunities for professional growth, learning, and career progression.
• Collaborative and supportive team environment.

How to Apply

If you’re a Senior Analytics Consultant with strong modelling expertise and a passion for turning data into commercial impact, apply today to learn more about this opportunity.

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If you’re excited by the opportunity to shape and scale AI products rather than manage a single product roadmap, this role offers a unique challenge. You’ll join a growing AI function at the centre of a major AI transformation, working across multiple high-impact initiatives and helping turn promising AI concepts into measurable business outcomes.

The Company
This organisation is investing heavily in AI and has established a dedicated AI Centre of Excellence to accelerate the development and adoption of AI solutions across the business. The team works closely with commercial and operational stakeholders to identify opportunities where AI can deliver tangible value. With strong executive support and an expanding AI product portfolio, this is an opportunity to influence how AI is deployed at scale across a complex organisation.

The Role
As a Senior AI Product Owner, you will operate as a domain lead across a portfolio of AI opportunities, working at the intersection of product, commercial strategy, delivery and AI innovation.
Responsibilities include:

• Identifying and prioritising AI opportunities across commercial functions.
• Collaborating with senior stakeholders to understand business challenges and uncover areas where AI can create value.
• Leading discovery, problem definition and AI use case development.
• Managing a prioritised portfolio of AI initiatives across multiple workstreams.
• Taking solutions from concept and proof of value through to production and adoption.
• Working with AI specialists, engineers and delivery teams to bring solutions to life.
• Defining success metrics, value hypotheses and acceptance criteria.
• Supporting the evaluation and implementation of AI technologies and platforms.
• Driving user testing, feedback collection and continuous improvement.
• Leading adoption planning, including training, communication and process change.
• Monitoring usage, business impact and value realisation post-deployment.
• Ensuring AI solutions align with governance, security, privacy and responsible AI principles.
• Acting as the bridge between business stakeholders and the AI Centre of Excellence.

Your Skills & Experience

• Strong Product Management or Product Ownership experience in a commercial environment.
• Recent experience working with AI or Generative AI products, services or programmes.
• Demonstrated ability to identify, shape and prioritise AI use cases.
• Experience taking AI initiatives beyond experimentation into production environments.
• Strong commercial awareness and stakeholder management skills.
• Ability to lead discovery activities and translate business problems into product opportunities.
• Comfortable working across multiple initiatives simultaneously.
• Strong facilitation and communication skills with both technical and non-technical audiences.
• Ability to balance customer value, commercial impact, technical feasibility and risk.
• Understanding of AI capabilities, limitations and responsible AI considerations.

What They Offer

• Salary of £85,000 – £100,000 depending on experience
• Competitive benefits package
• Hybrid working model

If you’re a commercially minded Product professional with experience delivering AI or Generative AI solutions and are excited by the challenge of scaling innovative AI products, apply today to learn more.

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Retail Media Data Analyst

Southampton once a week | 50k + Bonus + Benefits

This is an exciting opportunity to join a growing analytics function where you will help shape the future of retail media performance measurement. Working at the intersection of customer insight, marketing analytics, and commercial strategy, you will deliver impactful analysis that influences decision-making and supports continued business growth.

The Company

They are a well-established consumer-focused organisation with a strong customer base and a data-driven culture. Analytics plays a central role in how they understand customer behaviour, optimise marketing activity, and drive commercial performance. The business continues to invest in its retail media and customer analytics capabilities, creating excellent opportunities for professional development and career progression. They offer a collaborative environment where insight is valued and analytical expertise can make a tangible impact.

The Role

You will:

• Deliver analysis across retail media, CRM, and loyalty programmes to understand customer behaviour and campaign effectiveness.
• Build and evaluate customer audiences and segments to support marketing activation and targeting strategies.
• Measure campaign performance through incrementality testing, uplift analysis, ROI assessment, and commercial impact reporting.
• Produce post-campaign reviews that identify opportunities for optimisation and future improvements.
• Develop and monitor customer health metrics, including acquisition, engagement, retention, frequency, and customer value.
• Provide actionable insights that influence audience strategy, campaign design, and business priorities.
• Work closely with stakeholders across analytics, marketing, and commercial teams to demonstrate the value of customer data.
• Support the evolution of retail media capabilities through robust measurement frameworks and analytical best practice.
• Stay informed on industry developments and emerging trends within retail media, CRM, and personalisation.

Your Skills & Experience

• Strong commercial experience within the retail sector.
• Advanced SQL skills with the ability to work with large and complex datasets.
• Experience using Python, R, or another analytical programming language.
• Experience analysing and evaluating marketing campaigns using customer and transactional data.
• Strong understanding of campaign measurement methodologies and marketing performance metrics.
• Knowledge of statistical techniques including hypothesis testing, confidence intervals, and significance testing.
• Experience working with cloud-based data platforms such as Databricks, Snowflake, or BigQuery.
• Ability to communicate complex findings clearly to both technical and non-technical stakeholders.
• Comfortable working within a collaborative, matrix-based environment with changing priorities.

What They Offer

• Competitive salary.
• Performance-related bonus.
• Comprehensive pension scheme.
• Generous holiday allowance.
• Employee wellbeing support and assistance programmes.
• Retail and lifestyle discounts.
• Share scheme opportunities.
• Ongoing learning and career development within a growing analytics function.
• Exposure to high-impact projects within retail media, customer analytics, and marketing effectiveness.

How to Apply

If you are a Retail Media Data Analyst, Marketing Analyst, CRM Analyst, or Customer Analytics professional looking for your next challenge in Southampton, apply today through Harnham to learn more.

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This is an excellent opportunity for a Senior Product Analyst to step into a highly influential role where analytics directly shapes product strategy. You’ll partner closely with Product and Growth teams to uncover opportunities, improve conversion, and drive measurable business outcomes through experimentation and behavioural analysis.

The Company
They are a fast-growing digital business with a strong product-led culture and a significant customer base across multiple markets. Analytics sits at the centre of decision-making, with analysts viewed as strategic partners rather than reporting resources. The business is investing heavily in growth, experimentation, and customer experience, creating an environment where data-driven recommendations have genuine impact.

The Role
As a Senior Product Analyst, you will own analytics across key growth and conversion initiatives, helping optimise the customer journey and influence product direction.
Key responsibilities include:

• Understanding how users move through the product and identifying opportunities for improvement
• Conducting conversion funnel analysis to improve acquisition, activation, and engagement
• Analysing product behaviour to uncover trends and customer insights
• Identifying friction points impacting growth and conversion
• Designing, running, and evaluating A/B tests and experimentation programmes
• Defining event tracking requirements and measurement frameworks for new features
• Using behavioural data to support product discovery and roadmap decisions
• Challenging assumptions and providing strategic insight to stakeholders
• Translating complex analysis into clear, actionable business recommendations
• Connecting user behaviour to commercial performance and revenue outcomes
• Building scalable reporting solutions that enable self-service analytics

Your Skills & Experience

• Advanced SQL skills
• Strong commercial experience in Product Analytics
• Experience analysing customer journeys, conversion funnels, and activation metrics
• Strong event tracking and instrumentation experience
• Hands-on experience with experimentation and A/B testing
• Experience using product analytics platforms such as Amplitude, Mixpanel, or similar
• Ability to independently scope, deliver, and communicate analytical projects
• Excellent stakeholder management and communication skills
• Proven ability to influence product decisions through data and insight
• Strong data storytelling skills with both technical and non-technical audiences
• Experience within a digital product, marketplace, subscription, SaaS, or platform environment is beneficial

What They Offer

• £65,000 – £70,000 base salary
• Bonus scheme
• Equity package
• Clear scope for progression and increased strategic ownership
• Opportunity to work on high-impact growth and conversion challenges within a data-driven organisation

How to Apply
If you’re a Senior Product Analyst with strong product analytics, experimentation, and conversion optimisation experience and you’re looking to influence product strategy through data, please apply with your CV for further information.

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Director of Analytics Engineering

US Remote (CST/EST preferred; PST candidates should be comfortable with early meetings)

$200K-$230K base + bonus

We’re working with a well-established, global travel management company on a Director of Analytics Engineering hire. The business is mid-way through a genuine data transformation, and this person will own the strategy, architecture, and delivery of a global analytics platform already serving thousands of clients worldwide.

This isn’t a role for someone managing from a distance. My client needs a leader who has personally built and shipped data products, someone who’s architected pipelines, modeled semantic layers, and knows what production-grade analytics at scale actually takes.

What you’d own:

• The multi-year roadmap for a global analytics platform, spanning internal BI and external client reporting
• End-to-end delivery of analytics data products, from pipeline architecture through semantic modeling to reporting
• Embedded analytics applications woven into the product experience, not bolted-on dashboards
• Technical direction on warehouse design (Snowflake, Azure DataLake), semantic modeling (LookML, dbt), and BI strategy (Looker, Power BI)
• A team of analytics engineers working across the full stack
• Data governance, observability, and reliability across the platform

What we’re looking for:

• 10+ years in analytics engineering or data engineering, with 5+ years leading a team
• A track record of personally shipping production analytics products, both internal and client-facing
• Deep Snowflake experience, plus fluency across at least two major cloud providers
• Hands-on experience with Looker/LookML, dbt, and expert-level SQL
• Strong Python skills and real experience with data governance (RBAC, lineage, compliance)
• A diagnostic mindset, someone who digs into a slow query rather than delegating it blind
• Equally comfortable presenting to executives and talking tradeoffs with engineers

Nice to have: travel/hospitality/logistics experience, multi-tenant platform experience, infrastructure-as-code (Terraform, Docker, Kubernetes), ML/AI exposure, an advanced quantitative degree.

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