hackajob
Director of Product (AI/Data)
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Director of AI & Data Product Management
Location
Hybrid - Uxbridge / Remote UK
About The Role
At giffgaff, we're committed to building a better mobile and connected services experience through simplicity, transparency, and community. As our Head of AI & Data Product Management, you'll lead the vision, strategy, and delivery of AI- and data-powered products that create measurable value for members and the business.
You will sit at the intersection of Product, Data Science, Engineering, Analytics, and Commercial teams, ensuring that AI and data capabilities are translated into impactful products, experiences, and decisions. You'll establish product management excellence for AI and data initiatives while helping shape how giffgaff leverages emerging technologies responsibly and effectively.
This role requires a strategic leader who can balance long-term innovation with pragmatic delivery, ensuring AI and data investments generate tangible outcomes across customer experience, growth, operations, and decision-making.
What You'll Do
Strategy & Leadership
- Define and own the AI and Data Product strategy closely aligned with CTO teams and giffgaff's business objectives.
- Develop a multi-year roadmap for AI, machine learning, analytics, and data platform products closely aligned with CTO teams and giffgaff's business objectives.
- Lead a high-performing team of AI and Data Product Managers.
- Act as a thought leader for AI innovation, identifying opportunities to create competitive advantage.
- Champion responsible AI practices, governance, and ethical use of data.
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Product Management
- Translate business opportunities into scalable AI and data products.
- Prioritise investments based on member value, business impact, feasibility, and risk.
- Own product discovery, business cases, roadmaps, and outcome measurement.
- Drive adoption and utilisation of data products across the organisation.
- Ensure products are built around clear user needs and measurable outcomes.
Cross-Functional Collaboration
- Partner closely with Data Science, Engineering, Analytics, Design, and Commercial teams.
- Align stakeholders around product priorities and strategic outcomes.
- Create clear operating models for AI product development and experimentation.
- Influence senior leadership and executive stakeholders through data-driven recommendations.
Data & AI Enablement
- Drive the development of reusable AI and data capabilities.
- Identify opportunities to leverage predictive analytics, personalisation, generative AI, optimisation, and automation.
- Establish frameworks for evaluating AI initiatives, including ROI, risk, and member impact.
- Ensure data products support self-service decision-making across the business.
Governance & Measurement
- Define success metrics for AI and data products.
- Establish governance frameworks covering privacy, compliance, fairness, and transparency.
- Monitor product performance and continuously optimise outcomes.
- Track business impact and communicate value delivered.
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Essential
What We're Looking For
- Significant experience leading product management teams in data, analytics, AI, or machine learning environments.
- Proven track record delivering AI or data products at scale.
- Strong understanding of product management, discovery, prioritisation, and delivery.
- Experience working closely with Data Science and Engineering teams.
- Strong commercial acumen and ability to translate technical capabilities into business value.
- Experience influencing senior stakeholders and executive leadership.
- Deep understanding of experimentation, measurement, and product analytics.
- Excellent communication and storytelling skills.
Desirable
- Experience in telecomms, digital consumer products, fintech, or subscription businesses.
- Familiarity with generative AI, LLMs, recommendation and personalisation systems.
- Experience building data platforms or self-service analytics products.
- Knowledge of AI governance and responsible AI frameworks.
Success in the First 12 Months
- Establish a clear AI and Data Product strategy and roadmap.
- Deliver measurable business impact from priority AI and data initiatives.
- Improve adoption of data products and decision-support capabilities.
- Create a scalable operating model for AI product management.
- Build a strong team and culture focused on value and continuous learning.
- Cultivate a strong partnership and operating model with CTO counterparts.
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