Product Data Manager

Product Data Manager

Contract: £500-£600 per day (inside IR35)

Duration:12 month contract

Location: Hybrid - 1 to 2 days a week in Bristol

Lead the design, development and optimisation of complex high quality, analysis ready datasets that support enterprise decision making across UK&E. As a Data Product Manager, you contribute to and oversee the build of complex enterprise data visualisations, enhance semantic modelling standards, oversee the consistency and reliability of data products, and act as an expert advisor on analytics engineering, BI consumption models and dashboards / reports. quality, analysis ready datasets that support enterprise decision making across UK&E.

• Data visualisation: Advise, design and support build of complex reports and dashboards to support KPI measurement, business performance and operational insights using PowerBI, Databricks or similar, which will include contractual, external, strategic, operational and ad-hoc reports/queries, as well as providing a self-service
• BI & semantic layer oversight: Provide direction for enterprise semantic models, certified datasets, metric frameworks, and self-service enablement across Power BI, Databricks and/or Domo.
• Visualisation & enablement: Oversee production of easy to understand, interactive and intuitive dashboards and business reports. Includes defining and governing semantic modelling standards (dimensional, canonical, lakehouse gold), ensuring consistency across business units. Provide analytics / visualisation direction for enterprise data products and shared datasets.
• Analytical strategy: Ensure solutions designed and built to analytics and data engineering strategy and standards using Azure/AWS and Databricks, ensuring scalable, cost optimised platforms that support advanced analytics, ML workflows and self-service BI.
• Analytics specialist: Act as subject matter expert for complex analytics solutions on Azure or AWS analytics stacks integrated with Databricks.
• Data quality & governance: Collaborate with Data Engineers to enhance source data, apply standards, and maintain documentation, testing frameworks, lineage, and data governance / security policies integrated with Databricks/Unity Catalog and cloud-native controls.
• Business partnership at senior levels: Shape strategic data requirements with Directors/CXOs, ensure alignment to organisational priorities, and challenge assumptions to guarantee clarity and value.
• Efficiency: Evaluate and recommend the pragmatic and cost-effective approach to meeting report and analysts' requirements, such as in-house development, delivery partner, specialist 3rd parties or otherwise based on scale, complexity and priority.
• Coaching, community & capability growth: Lead analytics engineering capability development, mentor / line manage analytics engineers, define standards, and build communities of practice across UK&E.
• Advanced Analytics: Support Data Scientists to use machine learning tools and statistical techniques to produce solutions to the organisation's unique needs.
• Drive continuous improvement: Influence adoption of updated analytics capability standards and emerging analytical engineering best practices.
• Delivery: Lead delivery of major data analytics workstreams, resolving blockers, shaping delivery plans, informing prioritisation, and guiding teams through complex technical decisions. 

Core Skills

• Extensive BI knowledge of Microsoft BI products (SQL SSRS, Power BI, Flow, Excel) Experience with other BI visualisation and self-service tools is advantageous, including SAP Analytics Cloud, Domo, Qlik and Tableau.
• Expert data modelling: Able to design enterprise-wide models, patterns and data products supporting complex analytical ecosystems.
• Advanced lakehouse engineering: Expertise in Databricks (Delta Lake ACID, optimisation, governance, streaming/batch processing, Unity Catalog).
• Cloud architecture: Deep capability in Azure or AWS analytics services integrated with Databricks, including data security, identity, cost optimisation, ingestion automation and platform governance.
• Enterprise data quality & governance: Leading standards for tests, lineage, metadata, profiling, documentation, and regulatory compliance across multi-team pipelines.
• Semantic/BI enablement: Expert in semantic modelling, KPI governance, and enterprise reporting architecture in Power BI or Domo.

Reasonable Adjustments:

Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients.

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