Data Product Owner- London

FDM Group
London, UK
28 days ago
Apply on uk.indeed.com
Prepare application

Role details

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

Tech stack

Artificial Intelligence Amazon Web Services Big Data Data Governance Enterprise Data Management Snowflake Data Management Data Lakehouse Data Delivery Databricks

Job description

FDM is a global business and technology consultancy seeking a Data Product Owner to work for our client within the finance sector. This is initially a 12 month contract with the potential to extend and will be a hybrid role that will be based in London 2 days a week with travel to Manchester (expenses covered) every fortnight.

We are supporting a major Enterprise Data Platform (EDP) transformation within a leading UK Banking organisation. The programme is establishing a strategic Enterprise Data Platform that enables Business Banking teams to consume trusted, governed and high-quality data through a Medallion Architecture framework (Bronze, Silver, Gold)., * Own the Business Banking data product roadmap within the Enterprise Data Platform programme.

  • Define and prioritise data product backlogs aligned to business outcomes and regulatory requirements.
  • Act as the primary interface between Business Banking stakeholders, delivery teams and platform engineering teams.
  • Define business requirements, user journeys and acceptance criteria for Business Banking data products.
  • Ensure Business Banking data consumption requirements are translated into deliverable technical capabilities.
  • Drive alignment between Business Banking priorities and Enterprise Data Platform objectives.
  • Prioritise development of Gold-layer data products and consumption services derived from Bronze and Silver data domains.
  • Work closely with Data Architects and Tech Leads to ensure data products comply with Medallion Architecture principles and enterprise standards.
  • Define success measures, KPIs and value realisation metrics for data products.
  • Manage dependencies, risks and delivery priorities across multiple workstreams.
  • Present progress, priorities and outcomes to programme governance forums and senior stakeholders.
  • Support adoption of agile and AI-enabled delivery practices., * Balance strategic planning with day-to-day delivery leadership.
  • Manage complex stakeholder landscapes.
  • Drive adoption of Business Banking data products.
  • Influence senior stakeholders and governance bodies.
  • Maintain focus on business value while ensuring alignment to architectural and control standards.

Requirements

  • Proven experience as a Data Product Owner, Product Manager or Data Delivery Lead within enterprise data programmes.
  • Strong understanding of Medallion Architecture concepts and data product delivery models.
  • Experience defining and managing data product roadmaps and prioritised backlogs.
  • Experience gathering requirements and translating business needs into data and technology deliverables.
  • Strong stakeholder management across business, technology and governance functions.
  • Experience working within large-scale data platform transformation programmes.
  • Strong understanding of Data Management Controls and data governance requirements.

Technology Experience

  • Databricks
  • Snowflake
  • AWS
  • Data Lakehouse environments
  • Enterprise Data Platforms
  • Agile Delivery Tooling
  • Data Product Management Frameworks
  • Data Governance Platforms

Functional Experience

  • Data Product Ownership
  • Backlog Management
  • Roadmap Development
  • Requirements Gathering
  • Value Realisation
  • Stakeholder Management
  • Governance and Controls
  • Agile Delivery
  • Dependency Management

Domain Experience

Highly Desirable

  • Financial Services
  • Business Banking

Particularly Valuable

  • Banking products and customer journeys
  • Banking data domains
  • Regulatory and compliance requirements
  • Enterprise-scale transformation programmes
  • Data consumption and analytics use cases

About the company

FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK ‘Best Employer’.

Diversity and Inclusion FDM Group is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws.

Why join us

  • Career coaching, mentoring and access to upskilling throughout your entire FDM career
  • Assignments with global companies and opportunities to work abroad
  • Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field
  • Annual leave and work-place pension

Apply for this position

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

Apply on uk.indeed.com
Prepare application

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

1:33 min

Integrating internal APIs and maintaining data sovereignty

Mahran Meißner Mahran Meißner · World Congress 2026 Europe

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

2:10 min

Why organizations combine big data and machine learning

Ayon Roy · LIVE

2:44 min

Defining core roles and responsibilities in MLOps teams

Bas Geerdink · LIVE

Videos

See all

Related articles

See all