Data Product Manager - Outside of IR35 at Stealth IT Consulting, Remote, 6 Months, £Contract Rate

We are looking for a Data Product Manager on a 6 months contract.

Key Responsibilities Product Ownership & Strategy

• Define and communicate the vision, strategy, and roadmap for data products.

• Translate business goals into clear, actionable product requirements.

• Prioritise features using value-based frameworks (eg, MoSCoW, RICE, WSJF).

• Own the product backlog and ensure continuous refinement.

Delivery & Lifecycle Management

• Manage end-to-end delivery of the data product lifecycle from discovery and design to deployment and optimisation.

• Work with Data Engineers, Analysts, and Data Scientists to develop and iterate data products.

• Ensure products meet agreed KPIs and deliver measurable value.

• Use agile methodologies (Scrum/Kanban) to drive efficient delivery.

Stakeholder Management

• Collaborate with business units to understand requirements, pain points, and opportunities.

• Present product updates, roadmaps, and insights to senior stakeholders.

• Act as the main point of contact for the product across the organisation.

Data Governance & Quality

• Ensure data products adhere to governance, security, and compliance standards.

• Ensure robust data quality, documentation, and transparency for users.

• Work with governance teams to implement policies such as metadata standards, access controls, and lineage.

User Experience & Adoption

• Conduct user research, interviews, and feedback sessions to shape product design.

• Drive user adoption through onboarding, documentation, and training.

• Continuously improve data product usability and performance.

Required Skills & Experience Core Experience

• Proven experience as a Data Product Manager, Product Owner, or similar role.

• Strong understanding of modern data platforms, data warehousing, and analytics environments.

• Experience working with Data Engineering, BI teams, or Data Science teams.

• Solid understanding of data architecture concepts (eg, pipelines, ETL/ELT, APIs, data models).

Technical & Domain Skills

• Familiarity with tools such as AWS/GCP/Azure, Databricks, Snowflake, BigQuery, Redshift, or similar.

• Understanding of data governance, privacy standards, and regulatory requirements.

• Ability to write clear user stories and acceptance criteria for technical teams.

• Strong analytical mindset and ability to interpret complex data concepts.

Soft Skills

• Excellent communication and stakeholder management skills.

• Ability to balance strategic thinking with hands-on delivery.

• Strong organisational and prioritisation abilities.

• Comfortable working in agile, fast-paced environments.

Desirable Experience

• Experience working in Government, Financial Services, Healthcare, or enterprise environments.

• Experience with user-centred design, discovery phases, or GDS frameworks (if public sector).

• Familiarity with machine learning product lifecycle or MLOps concepts.

• Product certification (Scrum, SAFe, APM, CSPO, etc.).