Head of Data & Analytics — Global Platform & AI Leadership

Mace; Greater London; Hybrid; GBP 110,000 - 160,000; Full time

Job summary

Mace is seeking a Head of Data Engineering and Analytics to lead the engineering, analytics, and BI capability, turning data strategy into reliable delivery. You will oversee data platforms, pipelines, models, and analytics products to support decision-making, client services, digital products, automation and AI.

You will lead a globally distributed team, establish standards, prioritise demand, and partner with governance, architecture, cyber security and IT operations.

Qualifications

• Leadership experience in enterprise data engineering, analytics, or BI.
• Delivery of modern cloud-based data platforms and analytics solutions.
• Strong knowledge of Microsoft data stack (Azure, SQL, Power BI).
• Experience establishing engineering standards, DevSecOps, and monitoring.

Responsibilities

• Design, build, operate and continuously improve data platforms, data warehouse, pipelines, and analytics services.
• Translate strategy into an executable engineering roadmap aligned to priorities and value.
• Enforce engineering standards for design, coding, testing, releases, observability, security, and cost control.
• Create reusable data products and datasets for reporting, insights, and AI-ready use cases.
• Manage intake and prioritisation of engineering, BI, and analytics demand, balancing work streams.
• Partner with governance, security, IT and business leaders to embed quality, privacy, and retention by design.
• Lead and develop a high-performing data team and manage suppliers and partners.
• Serve as senior technical authority for data engineering and analytics to stakeholders.

Skills

Leadership

Data platforms

BI & Analytics

Cloud platforms

Azure

Tools

Azure Data Services

SQL

Power BI

ETL/ELT

Job description

Mace is seeking a Head of Data Engineering and Analytics to lead the engineering, analytics, and BI capability, turning data strategy into reliable delivery. You will oversee data platforms, pipelines, models, and analytics products to support decision-making, client services, digital products, automation and AI.

You will lead a globally distributed team, establish standards, prioritise demand, and partner with governance, architecture, cyber security and IT operations.