Programme Manager -Data Governance

Capgemini
London, UK
3 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Data Analysis Batch Processing Big Data Customer Data Management Data Architecture Information Engineering Data Governance Extract Transform Load (ETL) Data Transformation Data Warehousing
+13 more
Information Lifecycle Management Python (Programming Language) Machine Learning Meta-Data Management Enterprise Data Management Snowflake Data Strategy Data Lakes Pyspark Data Management Data Pipelines Guidewire Databricks

Job description

Capgemini is seeking Data Management Specialist who can define strategy, operating models, and execution frameworks for enterprise data management across the end-to-end insurance value chain.

This is not a hands-on engineering role. Instead, the focus is on shaping the data agenda, defining target-state architectures, governance models, personas, and artefacts, and ensuring successful delivery of large-scale data programmes.

You will partner with business and technology leadership to establish data as a strategic asset, covering areas such as product master data, cataloguing, data quality, and governance frameworks across Policy, Claims, Underwriting, and Customer domains.

Hybrid Working

The places that you work from day to day will vary according to your role, your needs, and those of the business; it will be a blend of Company offices, client sites, and your home., * Define and operationalize enterprise data management strategy across the insurance value chain

  • Establish data operating models, including governance structures, roles, and responsibilities (data owners, stewards, custodians)
  • Define personas and data consumption patterns across business functions (Underwriting, Claims, Finance, Distribution, Risk)

Data Management Frameworks

  • Design and implement best practices for:

*

  • Product master data management (MDM)
  • Data cataloguing and metadata management
  • Data quality frameworks (rules, KPIs, monitoring)
  • Reference and master data standards

  • Define standard artefacts such as:

*

  • Data strategy and roadmap
  • Data governance framework
  • Data domain models
  • Data lifecycle and lineage models

Programme & Delivery Leadership

  • Lead large-scale programmes spanning:

*

  • Data Lake / Data Warehouse / Lakehouse
  • Analytics & BI platforms
  • AI/ML enablement initiatives

  • Manage multi-project portfolios across:

*

  • Policy
  • Claims
  • Underwriting
  • Customer data domains

  • Drive alignment of data initiatives with business outcomes and KPIs

Stakeholder & Vendor Management

  • Collaborate with business leaders, IT teams, and external vendors
  • Translate insurance business requirements into data transformation initiatives
  • Engage with platform providers (e.g., Guidewire, Duck Creek) to ensure seamless integration into data ecosystems

Governance, Risk & Compliance

  • Establish and enforce data governance, quality, and compliance frameworks
  • Ensure adherence to regulatory requirements, Programme Management & Execution
  • Manage budgets, timelines, dependencies, and risks
  • Drive delivery using Agile / SAFe methodologies
  • Provide governance oversight across multiple delivery streams
  • Lead and coordinate cross-functional teams (architects, engineers, analysts, and business SMEs

Requirements

Do you have experience in System design?, * Strong hands-on experience with Databricks (must-have)

  • Proficiency in Python and PySpark for large-scale data processing
  • Solid understanding of data engineering fundamentals (ETL/ELT, batch processing, transformations)
  • Proven experience building scalable and efficient data pipelines
  • Exposure to Snowflake or modern cloud data warehouses
  • Understanding of data architecture and system design principles
  • Awareness of agentic AI and machine learning concepts, and how they integrate with data platforms

We are a Disability Confident Employer:

Capgemini is proud to be a Disability Confident Employer (Level 2) under the UK Government’s Disability Confident scheme. As part of our commitment to inclusive recruitment, we will offer an interview to all candidates who:

  • Declare they have a disability, and
  • Meet the minimum essential criteria for the role.

About the company

Growing clients’ businesses while building a more sustainable, more inclusive future is a tough ask. When you join Capgemini, you’ll join a thriving company and become part of a collective of free-thinkers, entrepreneurs and industry experts. We find new ways technology can help us reimagine what’s possible. It’s why, together, we seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our clients leverage technology to innovate and grow their business. So, it might not always be easy, but making the world a better place rarely is.

About Capgemini

Capgemini is an AI-powered global business and technology transformation partner, delivering tangible business value. We imagine the future of organisations and make it real with AI, technology and people. With our strong heritage of nearly 60 years, we are a responsible and diverse group of 420,000 team members in more than 50 countries. We deliver end-to-end services and solutions with our deep industry expertise and strong partner ecosystem, leveraging our capabilities across strategy, technology, design, engineering and business operations. The Group reported 2024 global revenues of €22.1 billion. Make it real | www.capgemini.com

You must create an Indeed account before continuing to the company website to apply

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:32 min

Harnessing Spark with Python using PySpark and Py4J

Ayon Roy · LIVE

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:37 min

Scaling machine learning pipelines from prototypes to petabytes

Julian Joseph · LIVE

Videos

See all

Related articles

See all