Hybrid Data Governance Business Analyst

Capgemini; Birmingham; Hybrid; GBP 50,000 - 70,000; Full time

Benefits offered by this job

Hybrid work

Learning & development opportunities

Job summary

Capgemini is seeking a Delivery-focused Business Analyst to drive enterprise-scale data management and governance initiatives. You will collaborate with Business Owners, Data Stewards and technical forums to shape processes, requirements and risk controls across client engagements.

You will shape data quality, metadata and governance needs, translate business needs into AI/analytics requirements and work with data scientists and engineers to validate test scenarios, ensuring alignment with

Qualifications

• 3–6+ years in business analyst roles with data, security, AI, or cloud experience.
• Strong background in data management, governance and regulatory requirements.
• Excellent stakeholder management, communication and documentation skills.
• Experience with Agile, Waterfall and delivery lifecycles.
• Ability to translate business needs into actionable requirements for analytics/AI.
• Familiar with data concepts: quality, metadata, lineage and governance.

Responsibilities

• Define, analyse and implement changes with business and technology teams.
• Lead requirement elicitation, process analysis and validation activities.
• Articulate functional and non-functional requirements clearly.
• Produce high-quality documentation, results and findings.
• Coordinate with data owners, stewards and architects on data sources and lineage.
• Translate business needs for AI/analytics solutions and validate against real scenarios.
• Participate in prioritisation, planning and agile delivery.

Skills

Business analysis

Stakeholder management

Agile methodology

Data governance

Data quality

Cross-region collaboration

Communication skills

AI/ML concepts familiarity

Tools

JIRA

Confluence

Job description

Capgemini is seeking a Delivery-focused Business Analyst to drive enterprise-scale data management and governance initiatives. You will collaborate with Business Owners, Data Stewards and technical forums to shape processes, requirements and risk controls across client engagements.

You will shape data quality, metadata and governance needs, translate business needs into AI/analytics requirements and work with data scientists and engineers to validate test scenarios, ensuring alignment with