Data Product Owner
Permanent, Farringdon, London - Hybrid
Are you a dynamic and experienced Technical Product Owner interested in leading one of our product team in the realm of connected mobility? Essential experience for this role includes working with data pipelines and data points.
What is the role?
The Technical Product Owner is engaged short-term to perform a structured gap analysis for a technical project and translate findings into clear, testable requirements that engineering teams can estimate, plan, and deliver. The role ensures the target state is well‑defined and the path to get there is unambiguous.
What will you do?
- Requirements Pack: functional & integration & data, each testable.
- Delivery‑ready breakdown: epics/features/stories (or equivalent) aligned to the requirements.
- Stakeholder playback notes and decisions log.
What are we looking for in you?
- You are a strategic thinker with deep expertise in product management.
- You are a thought leader who drives innovation and change.
- You have excellent influencing skills across multiple senior stakeholders.
- You mentor others and elevate product management capabilities across teams.
- You are outcome‑obsessed and customer‑centric.
- We need someone who understands data‑by‑design, GDPR, European data acts, privacy etc.
- Someone who can bridge the gap between business strategy and data engineering.
- Will understand data pipelines, architecture, and reporting features and can act as the voice of both technical and business stakeholders, define data models, write user stories, and map requirements for cloud data warehouses.
What will be your Key Responsibilities in the role?
Scope and target‑state definition
- Align stakeholders on objectives, outcomes, constraints, and success measures.
- Define in‑scope systems, integrations, data sources, environments, and interfaces.
- Capture assumptions, dependencies, risks, and decision owners.
Current‑state assessment
- Review existing artefacts (architecture, APIs, data models, tickets, release notes, incidents).
- Map current workflows and system behaviours (including edge cases and failure modes).
- Inventory integrations (API/event/file) and key data flows, ownership, and operational touchpoints.
Gap analysis
- Identify gaps between current and target state across:
- Functional behaviour
- Data coverage/quality/retention/lineage
- Integrations and contracts (versioning, error handling)
- Operational readiness (monitoring, alerting, runbooks, support)
- Assess impact, priority, dependencies, and risk for each gap.
Requirements definition
- Write precise, implementation‑ready requirements and acceptance criteria.
- Maintain traceability from gap, requirement, planned delivery item.
- Partner with engineering on feasibility trade‑offs while protecting outcomes.
Backlog and handover
- Translate requirements into delivery structure (epics/features/stories) ready for estimation.
- Facilitate playback sessions with stakeholders and engineering to resolve ambiguity.
- Support initial sizing and planning, ensuring a shared understanding of “done”.
There’s been a lot of research showing how marginalised groups of people may not apply for jobs unless they meet all of the requirements. We also know that many people come from wide and wonderful backgrounds with different experiences - We value people who bring unique perspectives and add new knowledge to our team! You might not feel like you “tick all the boxes” but we sincerely hope you’ll apply anyway because you could be exactly what we are looking for.
