Data Governance Specialist

Data Governance Specialist | 6-Month Contract | Cambridge (2 days onsite) | £700 per day | Inside IR35

La Fosse are partnering with a leading technology business to hire an experienced Data Intelligence & Governance Specialist to join a small, collaborative data team on an initial 6-month contract.

This is an exciting opportunity for someone who sits comfortably between data, analytics, governance and AI - someone who can take complex business requirements, turn them into intuitive data solutions, and ensure the underlying data is trusted, well-defined and ready to support AI.

You’ll work closely with business stakeholders and Data Engineers, helping to shape both the front-end data experience and the governance and data foundations behind it.

The Role

• Partner with business stakeholders to understand requirements and translate business questions into effective data, analytics and AI solutions.
• Define and align KPIs, metrics, business definitions and semantic models.
• Build engaging Power BI dashboards and visualisations, alongside Databricks AI/BI capabilities and Genie Rooms.
• Configure and continuously improve Databricks Genie Rooms to enable natural-language analytics.
• Support the development of ontology, taxonomy, metadata, tagging and business glossaries.
• Understand data lineage from source through to consumption, helping ensure data is trusted, traceable and fit for purpose.
• Validate data, calculations, visualisations and AI-generated responses.
• Work closely with Data Engineers to improve data quality, lineage and governance.
• Support the development of AI-enabled data solutions, including areas such as RAG and LLM integrations.
• Gather stakeholder feedback and continuously improve solutions based on business needs and adoption

Your Profile

• Experience in Data Analytics, Business Intelligence, Data Visualisation or Data Governance.
• Strong experience building dashboards and visualisations using Power BI, Databricks AI/BI, Tableau or similar.
• Good working knowledge of SQL and data validation.
• Understanding of semantic modelling, KPIs, metrics and business definitions.
• Knowledge of data governance, metadata, taxonomy, ontology and/or lineage.
• Strong stakeholder engagement skills, with the ability to break down business requirements and translate them into practical data solutions.
• Comfortable working closely with Data Engineers and understanding what needs to happen across both the front and back end.
• Strong communication skills with both technical and non-technical audiences.
• An interest in AI-enabled analytics and natural-language data experiences.