Product Manager - Database and Data Processing Design

Role Profile

As part of our high-performing Content Infrastructure team, you’ll help build brilliant digital experiences across all internal communications and owned channels. Your ability to interpret and apply data and analytics will be crucial.

Role Summary

As the product lead for Vehicles, you will be central to multiple Operational Database transformation programmes, optimizing the intersection of real-time and reference data-sets. You will ensure a complete integration of data critical to Content Operations by developing interfaces for managing Vehicles and RICs. This role supports core LMP adoption strategy and is key to achieving significant business outcomes.

What You'll Be Doing

• Plan and implement a prioritised roadmap to deliver Vehicle Mastering.
• Contribute to the development and adoption of strategic DBoR plans.
• Support future regulatory changes and manage Vehicle data.
• Champion Vehicle PermID adoption and integration.
• Collaborate with Development and Engineering teams for custom function validation.
• Harmonize standards across programmes for data gathering and processing.
• Train, teach, and mentor teams to meet new objectives.
• Support adoption of AI solutions and LMP objectives for data management.

What You'll Bring

• Logical thinking and understanding of development principles.
• Knowledge of Agile methodologies and development strategies.
• Expertise in real-time and reference infrastructure and data flows.
• Ability to translate concepts into tangible outcomes.
• Proven experience in data analysis and effective communication.
• Excellent collaboration skills and senior-level practical outcomes.
• Self-motivation and a track record of leading change successfully.

What You’ll Get In Return

If successful, you will set the strategy for a principal data set within the LSEG organisation, impacting the core Data & Analytics product lineup. You will collaborate with diverse partners across the company and enjoy flexible work arrangements.

Key skills/competency

• Data Analytics
• Agile
• Database Transformation
• Operational Strategy
• Real-time Data
• Reference Data
• Vehicle Data
• Collaboration
• Mentoring
• AI Adoption