Head of Data Product in London

Head of Data Product in London

London Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead the creation of impactful data products that drive decision-making at Channel 4.
  • Company: Join Channel 4's innovative data team, shaping the future of broadcasting.
  • Benefits: Enjoy private medical insurance, gym discounts, and financial guidance.
  • Other info: Dynamic role with opportunities to influence data strategy and culture.
  • Why this job: Be a data champion, making data exciting and essential for everyone.
  • Qualifications: Experience in product design and strong communication skills are essential.

The predicted salary is between 70000 - 90000 £ per year.

This role makes data matter at Channel 4. As Head of Data Products, you help the organisation spot the right problems, shape data products people actually use, and embed data into everyday decision making.

The data team is a new team for Channel 4, it brings together teams from technology & insight into one dedicated capability. The team comprises about 40 people, a mix of directly employed by Channel 4 and leveraging a partner for engineering resource. The team sits adjacent to the technology team and services the data needs for internal customers, including product, advertising, insight, finance, 4 studio & distribution.

You bring clarity, energy, and a strong user‑first perspective, turning insights and ideas into real‑world impact. You’re the organisation’s data champion: selling the vision, building momentum, and making data feel exciting, accessible and essential. Success isn’t measured in features delivered, but in problems solved and behaviours changed. You work closely with the Heads of Data Science and Reporting/BI to design solutions that make sense for our users and our mission as a creative, audience‑obsessed broadcaster.

Key Responsibilities
  • Value Identification & Problem Framing
    • Find and prioritise the business problems that data can genuinely solve across editorial, commercial, marketing, and operations.
    • Build clear mini‑business cases that articulate the problem, who it matters to, and how we’ll measure success.
    • Maintain a value‑led product portfolio and review existing products to decide what to improve, scale, or retire.
    • Bring an outside‑in perspective by scanning industry trends and competitor activity.
  • Product Shaping
    • Lead early‑stage product design: define user needs, frame problems clearly, map journeys, and outline what a successful solution looks like.
    • Partner with Data Science to shape analytical and ML‑driven products rooted in real user and commercial needs.
    • Work with Reporting & BI to design dashboards, reporting and enablement experiences that feel intuitive and coherent.
    • Define success metrics upfront and ensure strong stakeholder alignment.
  • Adoption, Change & Data Culture
    • Own adoption for every data product. Track usage, satisfaction and behaviour change, and intervene creatively when needed.
    • Treat product launches as change programmes: plan communications, training and support from day one.
    • Celebrate wins loudly and build a community of advocates who champion data across C4.
    • Help leaders embed data‑informed thinking into workflows, rituals, and decisions.
  • Stakeholder Engagement & Evangelism
    • Build trusted relationships across the business and become the go to voice for “how data can help us.”
    • Translate data value into the language of C4 across audiences, creative impact, performance and commercial return.
    • Present roadmaps and stories with clarity and conviction.
    • Represent the data product function in strategic and cross‑functional forums.
  • Strategic Contribution
    • Shape the broader data strategy with the Director of Data and peers.
    • Input into AI strategy with a focus on real user needs and meaningful business problems.
Essential Experience & Skills
  • Proven experience identifying value, shaping business cases, and building impactful data or digital products.
  • Strong product design skills grounded in user research, problem framing and outcome focus.
  • Outstanding communicator and natural evangelist who can generate excitement and win over sceptics.
  • Experience driving adoption and embedding lasting behaviour change.
  • Ability to collaborate closely with technical teams without needing to be hands‑on.
  • Credibility working with senior stakeholders across commercial, editorial, or operational teams.
Desirable Experience & Skills
  • Experience in media, broadcasting, digital content or advertising.
  • Familiarity with streaming, programmatic advertising, or audience measurement.
  • Exposure to agile ways of working, data literacy programmes, or formal product/change management training.
Perks
  • Private medical insurance.
  • Free Virtual GP access for employees.
  • Free Female Health hormone test each year.
  • Free Tastecard membership.
  • Financial guidance 1‑2‑1s available each quarter.
  • Discounted Gym memberships.
  • Pension.
  • Life Assurance.
  • Income Protection.
  • Holiday Purchase.

Head of Data Product in London employer: all

Channel 4 is an exceptional employer, particularly for the Head of Data Product role, as it fosters a dynamic and innovative work culture that prioritises creativity and collaboration. Employees benefit from a comprehensive perks package, including private medical insurance, free virtual GP access, and discounted gym memberships, all while working in a vibrant environment that champions data-driven decision-making and personal growth. With opportunities to shape impactful data products and engage with diverse teams, Channel 4 is committed to nurturing talent and making data accessible and exciting for everyone.

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Contact Details:

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StudySmarter Expert Advice🤫

We think this is how you could land Head of Data Product in London

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We think you need these skills to ace Head of Data Product in London

Value Identification
Problem Framing
Business Case Development
Product Design
User Research
Stakeholder Engagement
Data Adoption Strategies

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