Location: Nottingham

 Immediate start

 Hybrid working with 3 days onsite at client office

 Fixed term contract for an initial 6 months duration with possible extensions

The Data Product Manager role is responsible for defining, delivering, and managing data-centric products and solutions. This role bridges the gap between business needs, customer requirements, and technical development, ensuring the successful implementation of data-driven strategies. The Data Product Manager will work with cross-functional teams to create data products that provide actionable insights, enhance business intelligence, and support strategic decision-making.

This role will act as an advocate for the Data Office and Data Platform, engaging with divisional teams to define requirements and ensure the design of end-to-end solutions, clear statements of deliverables, outcomes, and delivery plans to enable progression to the delivery stage. It requires strong stakeholder management, attention to detail, interpersonal and communication skills, and the ability to consider views and opinions across both business and IT teams. The role is responsible for ensuring solutions are defined and aligned with the Data Office and Data Platform strategies while maintaining data security, trust, and governance.

Must have:

5+ years of experience in data product management, data analytics, data engineering, or a related role Experience in project delivery and/or as a senior business analyst in data and analytics IT projects  Prior experience in a global matrix-driven environment, collaborating with multiple suppliers and project teams Experience managing cross-functional and global teams, assessing their priorities whilst aligning to the data platform strategy. Excellent senior/exec stakeholder management skills – must be very comfortable communicating and presenting to senior stakeholders Comprehensive knowledge of data management principles, including governance, quality, security, and lifecycle management. Familiarity with data tools and platforms: SQL, MS Azure cloud technologies, Databricks, PowerBI Knowledge of data modelling, ETL pipelines, and data warehousing principles Understanding of data privacy and compliance regulations (e.g., GDPR, CCPA) Experience with agile methodologies and tools (e.g., Jira, Confluence, Trello, ADO)

Should have:

 Understanding data & analytics industry trends and best practices Understanding financial processes, business case development and benefits analysis Experience in managing vendors in the delivery of projects Experience of working in a vertically integrated business environment

If interested please apply with your updated Cv for an immediate discussion

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