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Are you passionate about shaping platform strategy and delivering impactful data solutions at scale?
Do you enjoy collaborating across teams to turn complex requirements into clear, actionable outcomes?
About The Business
LexisNexis® Risk Solutions provides customers with solutions and decision tools that combine public and industry specific content with advanced technology and analytics to assist them in evaluating and predicting risk and enhancing operational efficiency. We use the power of data and advanced analytics to help our customers make better, timelier decisions. By bringing clarity to information, we ultimately help make communities safer, insurance rates more accurate, commerce more transparent, business decisions easier and processes more efficient. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About Our Team
The Foundry team is building the shared data and AI platform that powers the next generation of products across our global markets. We design and operate reusable, contract-driven data capabilities - enabling teams to turn proprietary data into trusted, product-ready and AI-ready assets at scale.
We are a small, high-impact platform team with a big mandate: reduce fragmentation, standardise how data works across the business, and make advanced capabilities (data, APIs, AI) available to every product team through self-service.
Working at the intersection of platform engineering, data, and AI, the Foundry team partners closely with domain experts across markets to enable faster innovation, consistent governance, and scalable delivery of data products.
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About The Role
As a Platform Product Owner, you will lead the vision, strategy and delivery of the Foundry Platform backlog. You will work across engineering, data and business teams to prioritise work, translate requirements and ensure high-quality, scalable platform capabilities are delivered. This role plays a key part in enabling consistent, reliable and efficient use of platform services across the organisation.
Responsibilities
- Own, manage and prioritise the Foundry Platform backlog, ensuring work is aligned to platform strategy, business goals and Town Plan outcomes.
- Define and communicate the platform vision, roadmap, objectives and release goals in collaboration with engineering, architecture, product management, security, data owners and senior stakeholders across all Data Services brands.
- Translate complex stakeholder and platform requirements into clear epics, user stories, acceptance criteria and definitions of done.
- Balance delivery of new platform capabilities with operational improvements, technical debt remediation, governance requirements and service reliability.
- Work with engineering and architecture teams to prioritise reusable capabilities across data ingestion, transformation, quality, metadata, APIs, warehouse consumption and downstream product enablement.
- Collaborate with Data Governance, Technology, Security, Platform Engineering and Data Delivery teams during planning and delivery.
- Run and support Agile ceremonies including backlog refinement, sprint planning, stand-ups, reviews and retrospectives; lead backlog reviews and support release and capacity planning.
- Manage dependencies and track platform outcomes such as adoption, reliability, delivery efficiency, user satisfaction and data quality improvements.
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Requirements
- Experience as a Product Owner, Platform Owner, Technical Product Owner or in a similar role working with software, data or platform engineering teams.
- Strong understanding of Agile delivery methodologies such as Scrum and Kanban.
- Experience with GitHub Projects or similar backlog and delivery management tools.
- Experience contributing to or owning internal platforms, data platforms, APIs, analytics platforms or shared technology services.
- Knowledge of or interest in data ingestion, pipelines, transformation, data quality, governance and platform delivery.
- Understanding of data product concepts, metadata, lineage, access control or platform operating models would be advantageous.
- Familiarity with Snowflake, Databricks, Apache Iceberg or similar modern data platform technologies is beneficial.
- Formal training in Product Management, Product Ownership or Agile delivery is helpful but not essential.
Risk benefit statement
Learn more about the LexisNexis Risk team and how we work here
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