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Director of Analytics

Lead the Future of Data, Analytics & Business Intelligence

Are you a hands-on analytics leader who thrives on building scalable data platforms, leading high-performing teams, and delivering analytics products that drive real business impact? We are seeking an experienced Director of Analytics to define and execute the vision for a modern enterprise analytics ecosystem that serves both internal stakeholders and external customers at scale.

This is a unique opportunity for a builder and strategist who has personally delivered production-grade analytics solutions and is passionate about transforming data into competitive advantage. You’ll lead a talented analytics engineering team while remaining deeply involved in architecture, platform design, governance, and technical decision-making.

The Opportunity

As Director of Analytics, you will own the strategy, architecture, and execution of a large-scale analytics platform that supports reporting, self-service analytics, data-driven decision-making, and embedded analytical experiences.

This is not a management-only role. We are looking for a technical leader who has built data pipelines, designed semantic models, developed client-facing analytics products, and understands the challenges of delivering reliable analytics in complex environments.

What You’ll Lead

Analytics Platform Strategy & Delivery

• Define and execute a long-term analytics and business intelligence roadmap.
• Lead the end-to-end delivery of data products across ingestion, warehousing, modeling, visualization, and embedded analytics.
• Design scalable, client-facing analytics experiences and self-service reporting capabilities.
• Establish standards for data lifecycle management, governance, and platform reliability.
• Ensure analytics products align with business objectives and user needs.

Technical Leadership

• Serve as the senior authority on analytics architecture, data modeling, warehouse design, and business intelligence strategy.
• Provide hands-on guidance on data pipelines, performance optimization, cloud architecture, and cost management.
• Champion modern analytics engineering practices including CI/CD, version control, testing, automation, and infrastructure-as-code.
• Drive innovation while balancing scalability, maintainability, and operational excellence.
• Evaluate emerging technologies and determine where they add meaningful value.

Team Leadership & Development

• Build, mentor, and lead a high-performing analytics engineering organization.
• Foster a culture of ownership, technical excellence, collaboration, and continuous improvement.
• Recruit top-tier analytics and data engineering talent.
• Establish career development frameworks, technical mentorship programs, and succession planning.
• Partner closely with engineering, product, operations, and business leaders.

Data Governance & Operations

• Implement governance frameworks covering security, access controls, compliance, lineage, quality, and observability.
• Define and monitor service level expectations for data availability, freshness, and platform performance.
• Establish operational best practices that ensure reliability and trust in analytics assets.
• Build monitoring and alerting capabilities across the analytics ecosystem.

Executive & Stakeholder Partnership

• Translate business strategy into scalable analytics capabilities.
• Communicate complex technical concepts to executive and non-technical audiences.
• Act as a trusted advisor on analytics strategy, data architecture, and reporting solutions.
• Influence cross-functional decision-making through data and insight.

What We’re Looking For

Leadership Experience

• 10+ years of experience in analytics engineering, data engineering, business intelligence, or related technical disciplines.
• 5+ years leading and developing high-performing analytics or data engineering teams.
• Proven success delivering enterprise-scale analytics platforms and data products.
• Strong experience recruiting, mentoring, and retaining technical talent.
• Demonstrated ability to balance strategic leadership with hands-on technical involvement.

Technical Expertise

• Deep experience with modern cloud-based data warehousing and analytics architectures.
• Advanced SQL expertise, including performance tuning and large-scale data modeling.
• Strong knowledge of business intelligence and visualization platforms such as Looker, Tableau, or Power BI.
• Experience with semantic modeling, self-service analytics, and governed reporting environments.
• Expertise in Python for data engineering, automation, and analytics workflows.
• Familiarity with data transformation, orchestration, and pipeline development tools.
• Understanding of modern software engineering practices including Git, CI/CD, DevOps, and infrastructure automation.
• Experience working across cloud environments such as AWS, Azure, and/or GCP.

Governance & Performance

• Experience implementing enterprise data governance frameworks.
• Knowledge of security, compliance, data quality, observability, and monitoring practices.
• Strong background in system optimization, scalability, and performance management.

Communication & Leadership Style

• Outstanding communication and stakeholder management skills.
• Ability to influence executives, technical teams, and business leaders alike.
• Strategic thinker with a builder’s mindset.
• Comfortable operating in fast-changing environments and making informed decisions amid ambiguity.
• Passionate about using data to drive measurable business outcomes.

Preferred Qualifications

• Experience building customer-facing or embedded analytics products.
• Expertise supporting multi-tenant analytics environments.
• Knowledge of infrastructure-as-code and containerization technologies.
• Exposure to AI and machine learning-enabled analytics solutions.
• Advanced degree in Data Science, Computer Science, Mathematics, Engineering, or a related quantitative discipline.

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AI Product Manager

$200,000-$250,000

Overview

A rapidly growing technology-driven financial services organisation is seeking an AI Product Manager to help transform core business processes through applied artificial intelligence. This role will partner closely with business stakeholders, technical specialists, and external development partners to identify opportunities, redesign workflows, and deliver production-ready AI solutions.
The successful candidate will play a hands-on role throughout the product lifecycle, from process discovery and solution design to implementation, quality evaluation, and user adoption. This is an excellent opportunity for an early-to-mid career product professional looking to deepen expertise in AI-enabled products within a fast-paced environment.

Key Responsibilities

Process Discovery & Analysis

• Conduct structured discovery sessions with subject matter experts to understand existing workflows, decision points, bottlenecks, exception handling, and operational metrics.
• Document current-state processes, including cycle times, error rates, manual effort, and business impact.
• Identify undocumented practices, workarounds, and edge cases that may influence solution design.
• Challenge assumptions and validate findings through structured analysis and stakeholder engagement.

AI Solution Design & Documentation

• Translate business and operational insights into future-state AI-driven process designs.
• Create detailed solution specifications outlining functionality, inputs, outputs, business rules, quality controls, and acceptance criteria.
• Evaluate potential external engineering or implementation partners based on capability, experience, and engagement requirements.
• Develop recommendations supported by business cases, impact assessments, and implementation considerations.

Delivery & Partner Management

• Coordinate day-to-day execution activities with external development partners.
• Monitor progress against requirements, milestones, and delivery expectations.
• Review outputs and identify deviations from agreed specifications.
• Facilitate collaboration between technical teams, quality reviewers, and business stakeholders to ensure successful delivery.

Quality Assurance & Evaluation

• Design quality-control frameworks prior to implementation, including review processes, validation methods, and evaluation criteria.
• Collaborate with technical and analytical teams to define success metrics, benchmark datasets, and performance thresholds.
• Ensure solution outputs are reviewed and validated before broader user adoption.

Deployment & Change Adoption

• Coordinate pilot and validation periods that compare AI-generated outputs against existing processes.
• Support stakeholder engagement and change management efforts to drive adoption.
• Measure business outcomes against established baselines and identify opportunities for continuous improvement.

Required Qualifications

• 3 to 5 years of experience in product management, product analysis, business analysis, or a related discipline.
• Direct experience working with AI-enabled or machine learning-based products.
• Demonstrated ability to conduct process discovery with business stakeholders and translate findings into actionable requirements or solution designs.
• Experience producing product artefacts such as process maps, requirements documents, specifications, or design briefs.
• Strong problem-solving skills with the ability to structure ambiguous challenges and drive work independently.
• Bachelor’s degree in Business, Computer Science, Engineering, Economics, or a related field.

Preferred Qualifications

• Experience within financial services, fintech, lending, or other highly regulated industries.
• Exposure to high-growth, technology-driven organisations.
• Experience managing or coordinating external technology vendors, consultants, or development partners.
• Master’s degree in a relevant discipline.
• Proven track record delivering AI-enabled solutions in production environments.

Skills & Competencies

• Understanding of AI technologies, large language model applications, intelligent automation, and AI-agent-based workflows.
• Strong process-mapping, business analysis, and workflow redesign capabilities.
• Ability to create clear, implementation-ready specifications and requirements documentation.
• Structured approach to solving complex and undefined business problems.
• Effective stakeholder management and relationship-building skills.
• Strong written and verbal communication abilities.
• Ability to influence adoption by engaging stakeholders throughout the discovery and implementation process.

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Senior Marketing Analyst

Drive Growth Through Data, Insights & Innovation

Are you a data-driven marketing professional who thrives on turning complex information into actionable business strategies? We are seeking a Senior Marketing Analyst to play a key role in shaping marketing performance, member/customer growth, and strategic decision-making through advanced analytics, predictive modeling, and compelling data storytelling.

In this high-impact position, you will partner with marketing and business leaders to uncover opportunities, optimize campaigns, improve member/customer engagement, and deliver insights that drive measurable results. This is an excellent opportunity for an analytical thinker who enjoys building solutions, influencing strategy, and taking ownership of business outcomes.

What You’ll Do

• Develop and optimize complex SQL queries, stored procedures, views, and functions using T-SQL.
• Gather requirements, build prototypes, conduct testing, and deliver insights through Power BI dashboards and executive presentations.
• Perform quantitative analysis, data mining, and predictive modeling to support marketing initiatives and growth objectives.
• Create forecasting models for budgeting, growth projections, and campaign performance.
• Build analytical models focused on churn analysis, customer lifetime value, and return on advertising spend (ROAS).
• Design and maintain dashboards, reports, and KPI tracking tools.
• Analyze digital performance, including website behavior, conversion funnels, and online engagement metrics.
• Lead research initiatives to identify trends, opportunities, risks, and optimization strategies.
• Ensure data accuracy and integrity through ongoing quality validation processes.
• Present findings to both technical and non-technical audiences, translating data into business recommendations.
• Automate reporting processes and improve operational efficiency through innovative solutions.
• Collaborate cross-functionally with stakeholders to support strategic business goals.

What We’re Looking For

• Strong analytical, problem-solving, and critical-thinking skills.
• Ability to manage multiple priorities in a fast-paced, evolving environment.
• Excellent verbal and written communication skills.
• Self-motivated, proactive, and accountable with a strong attention to detail.
• Experience presenting complex insights to executive and business audiences.
• A passion for innovation, continuous improvement, and using data to influence decisions.

Required Qualifications

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Statistics, Mathematics, Economics, Finance, Accounting, or a related discipline.
• 5+ years of experience in an analytical role, preferably within marketing, business analytics, or financial services.
• Advanced SQL programming experience (T-SQL preferred).
• Strong experience applying statistical and mathematical techniques to data analysis and modeling.
• At least 2 years of recent Power BI experience.
• Experience working in agile, fast-paced environments.
• Experience with cloud technologies (Azure preferred).
• Knowledge of Google Analytics and/or Adobe Analytics.
• Proficiency with Microsoft Office Suite.

Preferred Qualifications

• Experience measuring and optimizing marketing campaign performance.
• Background in banking, credit unions, or financial services.
• Experience with customer segmentation, acquisition, retention, and lifecycle analytics.

Work Authorization: Candidates must be currently authorized to work in the United States. This position is not eligible for visa sponsorship now or in the future.

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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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