Head of Product Analytics (35119)

Job Title: Head of Product Analytics
JOB DETAILS
 

Band: F 
Location: London, Salford, Glasgow, Cardiff, Newcastle
Contract Type: Permanent / Full Time
PROPOSED SALARY RANGE: £105,000 - £120,000 depending on relevant skills, knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights. 

We're happy to discuss flexible working. If you'd like to, please indicate your preference in the application – though there's no obligation to do so now. Flexible working will be part of the discussion at offer stage.

PURPOSE OF THE ROLE
 

The BBC has been serving audiences online for more than 20 years. Across key products including BBC iPlayer, BBC News, BBC Sport, BBC Weather, bbc.co.uk, and now BBC Sounds, we entertain, educate, and inform millions every day.

But behind the scenes, we have work to do. We are making the shift from being a broadcaster that speaks to our audiences, to becoming a service that is shaped by them designed around their wants and needs. We are creating personalised products and services that bring the right content, to the right people, at the right times a personalised BBC. It will be our greatest leap since iPlayer, and that’s why it is right at the top of our agenda.

Delivering it requires a fundamental reshaping of how we work. The Product Analytics team within the Product Group is at the forefront of understanding how audiences interact with our products creating actionable insight about their behaviours, attitudes, and needs.

As Head of Product Analytics, you will lead the vision and strategy for how product data informs decision-making working in a close partnership with product areas with analytics being an integral part of the product teams. You will help transform how the BBC measures success, optimises performance, and brings data-driven understanding to every stage of the product lifecycle.

Interviews:

Please note that interviews will take place from 23rd January 2026 onwards and will be a 2-stage interview process. 

YOUR KEY RESPONSIBILITIES AND IMPACT
 

Strategic Leadership

• Define and deliver the BBC’s Product Analytics strategy, aligned with our mission to build a more personalised BBC.
• Champion a culture of data-informed, experiment-driven decision-making across Product,
• Design, and Engineering teams.
• Represent Product Analytics at senior leadership forums, providing clear, data-backed insights on performance, engagement, and growth.
   

Data-Driven Insights

• Translate complex audience and product data into clear, actionable recommendations for senior stakeholders.
• Develop measurement frameworks and KPI models that evaluate success across multiple BBC products.
• Drive data storytelling that shapes product strategy, investment, and prioritisation.
   

Growth & Optimisation

• Identify opportunities to grow and deepen audience engagement through experimentation, segmentation, and behavioural analysis.
• Embed continuous optimisation practices into product development workflows.
• Use insight to influence the design and delivery of high-impact digital experiences.
   

Frameworks & Measurement

• Establish unified frameworks for measuring product success across BBC platforms.
• Oversee analytics tools, dashboards, and reporting processes that support self-serve insights.
• Ensure data quality, consistency, and governance across the BBC’s digital ecosystem.
   

Team Leadership

• Lead and inspire a talented Product Analytics team, fostering curiosity, collaboration, and excellence.
• Build analytical capability across the wider Product organisation, empowering teams to make data-informed decisions.
• Partner with Heads of Data and Product to ensure strategic alignment and shared standards.
   

Cross-Functional Collaboration

• Work closely with Product, Engineering, Editorial, and Data Governance teams to embed analytics at every stage of the product lifecycle.
• Partner with audience insight and research teams to integrate quantitative and qualitative understanding of audiences.
   

YOUR SKILLS AND EXPERIENCE
 

You are an experienced analytics leader with deep product sense, proven influence at executive level and a track record of impact at consumer scale.

Essential

• Proven leadership of analytics teams within a modern product organisation, including hiring, coaching and embedding analytics into product lifecycles to influence strategic decisions.
• Demonstrable ability to translate audience and product data into actionable insights that have shaped roadmaps, prioritisation, or investment decisions, with measurable impact on engagement or performance.
• Advanced technical expertise in SQL and modern data stacks, with experience designing KPI frameworks, instrumentation standards and dashboards that enable self-serve analytics.
• Track record of establishing or scaling experimentation programmes, using A/B testing and data-driven methods to optimise product performance and validate strategic hypotheses.
• Exceptional stakeholder management and executive communication skills, with a proven ability to influence C-suite leaders and senior decision-makers through compelling data storytelling, shaping strategic priorities and securing alignment across complex, cross-functional organisations.
   

Desirable

• Domain experience in media or content-led organisations, with understanding of audience engagement models and digital product ecosystems.
• Familiarity with advanced analytical methods, such as causal inference, uplift modelling, or machine learning applications for personalisation and recommendation.
• Experience partnering with data engineering teams, with working knowledge of data architecture best practices and ability to influence schema design and data quality standards.
• Ability to integrate quantitative analytics with qualitative insights, blending behavioural data with UX research or audience studies to inform product decisions.
• Exposure to privacy, ethics and compliance in data use, ensuring analytics practices align with regulatory and organisational standards.
   

Transferable skills welcome: We encourage applications from candidates who have led analytics in complex, high scale product ecosystems (e.g., e commerce, fintech, marketplaces, streaming, gaming) and can demonstrate strategic impact with clear outcomes.

If you can bring some of these skills and experiences, along with transferable strengths, we’d love to hear from you and encourage you to apply.

Before your start date, you may need to disclose any unspent convictions or police charges, in line with our Contracts of Employment policy. This allows us to discuss any support you may need and assess any risks. Failure to disclose may result in the withdrawal of your offer.