Data Enrichment Manager in Portishead

Data Enrichment Manager - Hybrid (multiple offices around the UK) £80-£90k + Bonus and wider benefits

We're recruiting for a Data Enrichment Manager to join a growing analytics function, leading a team focused on extracting greater value from data and helping drive commercial decision-making.

This is a fantastic opportunity for someone with a strong analytical background and leadership experience who enjoys identifying new data opportunities, influencing business strategy, and turning complex datasets into business insights. You'll play a key role in shaping the organisation's data enrichment strategy while working closely with teams across analytics, technology, operations, and commercial functions.

Duties of the Data Enrichment Manager:

• Leading, mentoring, and developing a high-performing data team.
• Identifying and evaluating new internal and external data sources to drive business value.
• Delivering data-driven recommendations to improve commercial performance and customer outcomes.
• Working closely with technology and data engineering teams to ensure robust and scalable data solutions.
• Analysing large datasets to identify trends, opportunities, and areas for improvement.
• Collaborating with stakeholders across the business to support strategic objectives.
• Promoting best practice around data governance, quality, and security.
• Driving innovation through the use of advanced analytics, data science, and emerging technologies.

Skills of the Data Enrichment Manager:

• Previous experience leading or mentoring analytical, pricing, or data-focused teams.
• Experience in the Insurance industry, ideally Motor insurance
• Strong analytical and problem-solving skills.
• Experience working with large and complex datasets.
• Advanced skills in tools such as SQL, Python, R, Power BI, Tableau, or similar.
• Excellent stakeholder management and communication skills.
• Commercial awareness and the ability to turn data insight into business outcomes.

Nice to Have:

• Knowledge of predictive modelling, pricing, enrichment, or customer analytics.
• Exposure to machine learning and advanced statistical techniques.

Benefits:

• Hybrid working & flexi-time
• Annual bonus opportunity.
• 25 days annual leave rising with service
• Enhanced pension scheme.
• Healthcare benefits.
• Flexible working options.
• Electric vehicle leasing scheme
• Discount scheme
• Ongoing professional development and career progression opportunities.
• + many more

Code - INDITND

Please note as we receive a high level of applications we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010.