Data Intelligence & Governance Specialist

Whitehall Resources Limited; Cambridge; On-site; GBP 60,000 - 95,000; Full time

Job summary

Whitehall Resources Limited is seeking a Data Intelligence and Governance Specialist to turn data into clear, decision-ready insights and ensure data is trusted for AI. You’ll work with stakeholders to define metrics, translate questions into data and AI solutions, and build dashboards with Databricks Genie Rooms, backed by semantic models, ontology and metadata.

You will collaborate with business and technical teams to ensure data products are useful, trusted and user-friendly, driving adoption

Qualifications

• Experience in data analytics, BI or data visualization.
• Experience creating dashboards using Databricks AI/BI, Power BI or Tableau.
• Strong SQL and data validation skills.
• Understanding of semantic modeling, metrics and KPI design.

Responsibilities

• Partner with business stakeholders to define requirements and KPIs.
• Create dashboards and visualisations with Databricks Genie Rooms.
• Translate business questions into data, analytics and AI experiences.
• Develop semantic models, KPIs, definitions and metadata.
• Configure Genie Rooms for natural-language analytics.
• Maintain ontology, taxonomy and business glossaries.
• Validate data, calculations and AI outputs.
• Collaborate with Data Engineers to improve data quality and lineage.
• Gather feedback to improve solutions per business needs.

Skills

Data analytics

BI visualization

SQL

Semantic modelling

Data governance

Stakeholder engagement

Communication

AI analytics

Tools

Databricks

Power BI

Tableau

Genie Rooms

Job description

Whitehall Resources currently require an experienced Data Intelligence and Governance Specialist to work with a key client

Please note this role falls INSIDE IR35 and requires 2 days onsite weekly in Cambridge

Job Overview:

We are looking for a Data Intelligence & Governance Specialist who enjoys turning data into clear, intuitive and decision-ready insights, while ensuring data is trusted, well understood and ready for AI.

You will work closely with business stakeholders to understand their needs, align on metrics and definitions, and translate business questions into effective data and AI solutions. You will create dashboards, visualisations and Databricks Genie Rooms, supported by consistent semantic models, business definitions, ontology, taxonomy and metadata.

Working across business and technical teams, you will help ensure data and AI products are useful, trusted and easy to use.

Responsibilities:

• Partner with business stakeholders to understand needs, define requirements and align on KPIs, metrics and business definitions.
• Create engaging dashboards, visualisations and Databricks Genie Rooms.
• Translate business questions into intuitive data, analytics and AI experiences.
• Develop semantic models, KPIs, metrics and business definitions.
• Configure and continuously improve Genie Rooms for natural-language analytics.
• Maintain ontology, taxonomy, metadata, tagging and business glossaries.
• Validate data, calculations, visualisations and AI-generated responses.
• Partner with Data Engineers to improve data quality, lineage and traceability.
• Gather feedback and continuously improve solutions based on business needs and adoption.

Required Skills and Experience:

• Experience in data analytics, business intelligence or data visualisation.
• Experience creating dashboards and visualisations using Databricks AI/BI, Power BI, Tableau or similar tools.
• Good working knowledge of SQL and data validation.
• Understanding of semantic modelling, metrics and KPI design.
• Experience or knowledge of data governance, metadata, taxonomy, ontology or lineage.
• Solid ability to engage with business stakeholders, understand their needs and translate them into data solutions.
• Ability to communicate data and insights clearly to technical and non-technical audiences.
• Interest in developing expertise in AI-enabled analytics and natural-language data experiences.

Nice to Have Skills and Experience:

• Experience preparing and governing data for Generative AI, RAG, AI agents or semantic search.
• Experience with Databricks, AI/BI or modern Lakehouse environments.
• Experience with enterprise data from ServiceNow, Jira or Azure DevOps.
• Experience with data cataloguing, metadata or governance tooling.
• Familiarity with Agile delivery and iterative development