Data Enrichment Manager

Department: [SBL] Analytics and R&D

Location: Bristol

Compensation: Up to £90,000 / year

At Somerset Bridge Group we are seeking a Data Enrichment Manager to build and lead our Data Enrichment Team, supporting the Head of Analytics and R&D in achieving the overall objectives of the function as a whole. The successful candidate will take ownership of developing and delivering the company’s data enrichment strategy, ensuring the effective use of internal and external data to enhance pricing accuracy, underwriting insight and customer understanding.

Through innovative and responsible use of data, help the business deliver the right prices to the right customers in a dynamic and competitive market, driving sustainable growth, improved trading performance and fair value for customers in line with regulatory expectations and company goals.

• Lead the Data Enrichment Team towards the delivery of objectives
• Manage workload, prioritise and delegate tasks within the Data Enrichment Team to ensure timely delivery of initiatives
• Define clear goals for the team, provide constructive feedback, and support professional development
• Motivate members of the Data Enrichment Team
• Continuously search for available new data sources
• Deliver a steady flow of high-quality rate change proposals
• Oversee deployment of approved rate changes
• Liaise with other teams (Trading, Finance, operational teams, etc.) to highlight predicted impact of upcoming rate changes
• Collaborate with IT and data engineering teams to ensure data infrastructure and pipelines are robust, scalable, and secure
• Always keep customers in mind to ensure good value to customers, with extra attention to vulnerable customers
• Stay informed on market developments, competitor activity, and emerging trends; react if/as necessary
• Understand all the data currently available; highlight concerns & propose solutions
• Identify opportunities to harvest value from existing or new data sources; generate new rating factors
• Work with internal stakeholders and suppliers to explore new data enrichment opportunities (DPIA, contracts, invoices, etc.)
• Fully understand every aspect of the premium calculation; understand how RADAR and rate changes in RADAR work
• Stay abreast of the latest advancements in data science and machine learning, identify opportunities to incorporate new technologies and methodologies into the team’s work
• Promote a culture of continuous learning, encourage the exploration of innovative data-driven solutions
• Identify leaks & opportunities and propose pricing adjustments to improve performance
• Identify, report, and action breaches and pricing errors
• Work with internal stakeholders and suppliers to deliver objectives (contracts, DPIAs, invoices, co-funds, etc.)
• Ensure compliance with all relevant regulatory requirements and industry standards in pricing strategies and practices
• Promote data governance best practices, ensuring data integrity, quality, and security in all pricing activities
• Document rate changes, models, processes, and analytical methodologies for transparency and audit purposes
• Continuously search for ways to do things better; question everything, think outside the box

• Strong management and mentoring skills to develop a high-performing team of pricing professionals
• Strong analytical mindset
• Logical thinker
• Question everything; search for innovative new solutions
• Passion for data driven decisions
• Underwriting experience
• Proficiency in pricing techniques, statistical modelling, and predictive analytics
• Knowledge of the insurance market and competitive dynamics
• Commercial awareness and drive for practical outcomes
• Comprehensive understanding of the motor insurance industry, its regulatory environment, and market trends
• Ability to develop long-term pricing strategies that balance customer satisfaction, profitability, and market competitiveness
• Exceptional capability to interpret and synthesize large and complex datasets into actionable pricing recommendations
• Advanced knowledge of tools such as RADAR, Python, R, SQL, Excel, and data visualization platforms (e.g., Tableau, Power BI)
• Strong cross-functional collaboration
• Good communication…