Head Of Workplace Solutions Data Analytics & Insight (fixed Term)
Mgsginvestments
Workplace data analytics strategy
High-quality dashboards and reporting
Data governance and quality management
The Head of Workplace Solutions Data Analytics & Insight leads the delivery of high-quality, decision-ready insight to inform M&G’s global Workplace Strategy and optimise the performance, cost and utilisation of its operational real estate portfolio
Job Summary
The Head of Workplace Solutions Data Analytics & Insight leads the delivery of high-quality, decision-ready insight to inform M&G’s global Workplace Strategy and optimise the performance, cost and utilisation of its operational real estate portfolio.
The role provides strategic leadership of Workplace data, analytics and insight while maintaining senior oversight of analytical outputs, standards, governance and quality.
M&G offers a valuable pension scheme of 18%, 38 days annual leave including bank holidays, market-leading Inspiring Families policy, and comprehensive Health & Protection cover.
Matching Summary
The Head of Workplace Solutions Data Analytics & Insight leads the delivery of high-quality, decision-ready insight to inform M&G’s global Workplace Strategy and optimise the performance, cost and utilisation of its operational real estate portfolio.
Skills & Requirements
Must-have
Workplace data analytics strategy
High-quality dashboards and reporting
Data governance and quality management
Enterprise platform data integration
AI enablement and oversight
Power BI expertise
Senior leadership influencing
Nice-to-have
Simplify complexity for stakeholders
Problem solving and clear presentation
Strong judgement and attention to detail
Collaborative across boundaries
Proactive, structured and resilient
Key Requirements
Degree level qualification in Economics, Maths, Accounting or similar
Significant hands-on analytical skills experience
Proven ability to convert complex data into clear insight
Strong understanding of data governance, controls, quality management
Experience in workplace, property, facilities management, operations or corporate environments (desirable)
Familiarity with enterprise platforms (desirable)
Experience supporting business case development (desirable)
Experience providing senior oversight of AI-enabled analytics (desirable)
SQL, Python or equivalent analytical tooling (desirable)