Product Manager – Data and Analytics

Overview

In this role you will own Talbots data products and define the product strategy and roadmap to align with business goals. You’ll collaborate with underwriting and other functions to shape data solutions that drive measurable outcomes. You’ll establish governance, SLAs and KPIs, and lead cross-functional delivery with engineering, data governance and BAU teams. The role combines product leadership with hands-on analytics work, including adoption and change management to maximize business value.

Pay / Benefits

• Total Rewards Program
• health and wellbeing focus
• professional development
• financial security
• inclusive culture
• in-person collaboration

Responsibilities

• Own and govern all data products at Talbot
• Define data product strategy, value proposition, and roadmap aligned to business goals
• Collaborate with senior stakeholders to shape data solutions delivering measurable outcomes
• Set standards, prioritization criteria, and governance expectations
• Drive delivery with cross-functional teams (engineering, architecture, data governance, BAU)
• Lead/partner with Data Product Owners to translate strategy into backlogs and release plans
• Define data product SLAs and KPIs for quality, timeliness, completeness, adoption and impact
• Manage stakeholder communication, planning and change management
• Lead user engagement and improve product through feedback and analytics
• Drive adoption of analytics products through communications and embedded support
• Adopt AI & automation to enhance data product strategy and delivery
• Collaborate with development team to translate needs into data product changes
• Line management for team members (objective setting, performance reviews, coaching, hiring support)
• Define data product controls and monitoring in Production
• Participate in Service Delivery Governance reviews

Key requirements

• Extensive data product management experience in insurance
• Lloyds market experience desirable
• Strong stakeholder management skills
• Problem solving skills
• Strong communicator (verbal and written)
• Strong data experience and ability to design data solutions
• Date warehouse and reporting experience
• Strong technical and data literacy

• Stakeholder management
• Problem solving
• Strong communication (verbal and written)
• Data product management
• Data warehousing
• Analytics tools

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