At a Glance
- Tasks: Lead data projects, define requirements, and bridge business and technical teams.
- Company: Dynamic tech firm in Farringdon, London with a hybrid work model.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Join a collaborative team focused on driving change and enhancing capabilities.
- Why this job: Be at the forefront of data innovation and make a real impact.
- Qualifications: Experience in product management and strong stakeholder influencing skills.
The predicted salary is between 60000 - 80000 £ per year.
Permanent – Farringdon, London – Hybrid
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 and 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.
Key Responsibilities
- 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”.
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We think you need these skills to ace Data Product Owner in London
Product Management
Gap Analysis
Requirements Definition
Stakeholder Management
Data Modelling
User Story Writing
Data Pipeline Understanding
