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# Data Enrichment Manager

- **Company:** Hunter Selection
- **Location:** Reading, UK
- **Salary:** £80,000.0 - £90,000.0
- **Contract:** Permanent contract
- **Skills:** Data Analysis, Big Data, Data Cleansing, Information Engineering, Data Governance, R (Programming Language), Python (Programming Language), Machine Learning, Power BI, SQL Databases, Tableau (Software), Data Pipelines
- **Published:** July 30, 2026
- **Apply:** https://hunterselection.co.uk/jobs/data-enrichment-manager-36069/?job_id=103024_1785410457

## About the Role

* 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.

## 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.


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