Data Enrichment Manager
Role details
Job location
Tech stack
Job description
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.
Requirements
- 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 & conditions
- 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.
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- many more
Code - INDITND