Operational Data Improvement Manager

As part of our UK strategy and purpose, we are recruiting Operational Data Improvement Managers to join the Claims Insight & Performance team. This is an exciting time to shape and embed data science and analytics capabilities across Claims, helping us deliver sustained, trusted, and measurable operational value.

You will play a key role in ensuring data science models and robotics processes are effectively applied within our Claims operations—translating business needs into analytical use cases and ensuring models are understood, adopted, and embedded into everyday decision-making. Reporting directly to the Head of Claims Data Improvement and Culture, the role will partner with the data science teams to embed well governed analytics and data science capability into Claims, strengthening data driven decision making, improving customer outcomes, and building a strong data culture within agreed risk and control frameworks.

This is a high impact opportunity to turn advanced analytics into real operational advantage.

Available locations: Guildford, Milton Keynes, Birmingham, London and Bournemouth.

Please note that this is a hybrid working role with the expectation to attend the office a minimum of 2 days per week.

Salary Information

Pay: Circa £56,000 per year. Pay is based on relevant experience, skills for the role, and location. Salary is only one part of our total reward package.

About You

• Own the lifecycle of machine learning models, robotics and analytics within Claims, from use case definition and prioritisation through to deployment, monitoring, and retirement.
• Partner with data science teams, translating Claims objectives into clear problem statements, success metrics, and operational constraints.
• Ensure models are production ready, aligned to Claims processes, decision frameworks, and technology environments.
• Oversee ongoing model performance, monitoring drift, bias, data quality issues, and operational misuse.
• Embed model outputs into decisioning, ensuring recommendations and thresholds are well understood and appropriately used by Claims teams.
• Champion data literacy and adoption, helping colleagues understand the importance of data science and analytics in Claims.
• Balance innovation with risk and control, ensuring appropriate mitigations are in place for model, data, conduct, and regulatory risks.
• Support strong governance and assurance, ensuring documentation, explainability, controls and audit readiness.
• Drive continuous improvement, identifying opportunities to enhance data, features or processes that influence model effectiveness.

Essential Skills:

• Strong knowledge of Claims and the wider UK business.
• Solid understanding of machine learning lifecycles and production deployment concepts.
• Ability to constructively challenge models and analytical concepts.
• Strong stakeholder management across operational, data, governance, and technology teams.
• Ability to communicate complex analytical concepts to non‑technical audiences.
• Balanced mindset combining performance, customer fairness, and risk awareness.
• Experience working with Agile methodologies.

Desirable:

• Degree in data, mathematics, or a related field.
• Experience working with machine learning or data science solutions in Claims or wider insurance operations.
• Proven experience working across multiple teams to deliver and operate analytics or data science solutions in production environments.
• Responsible Artificial Intelligence usage.

What We Will Offer You

Recognised and rewarded for a job well done, we have a range of flexible benefits for you to choose from- so you can pick a package that’s perfect for you. We also offer flexible working options, global career opportunities across the wider Allianz Group, and fantastic career development and training. That’s on top of enjoying all the benefits you’d expect from the world’s number one insurance brand, including:

• Flexible buy/sell holiday options
• Hybrid working
• Annual performance related bonus
• Contributory pension scheme
• Development days
• A discount up to 50% on a range of insurance products including car, home and pet
• Retail discounts
• Volunteering days

Our Ways of Working

Do you need flexibility with the hours you work? Let us know as part of your application and if it’s right for our customers, our business and for you, then we’ll do everything we can to make it happen. Here at Allianz, we are signatories of the ABIs flexible working charter. We believe in supporting hybrid work patterns, which balance the needs of our customers, with your personal circumstances and our business requirements. Our aim with this is to help innovation, creativity, and you to thrive - Your work life balance is important to us.

Integrity, Fairness, Inclusion & Trust

At Allianz, we believe in fostering an inclusive workforce and are proud to be an equal opportunity employer. Our commitment to equal opportunities, gender equity, and balanced gender representation, is demonstrated by our numerous accreditations: EDGE certified for gender inclusion, Women in Finance Charter members, Disability Confident employer, Stonewall Diversity Champion, Business in the Community’s Race at Work Charter signatories, and Armed Forces Covenant gold standard employer.

We embrace neurodiversity and welcome applications from neurodivergent and disabled candidates, offering tailored adjustments to ensure your success. We encourage our employees to advocate for their needs, whether it’s assistive technology, ergonomic equipment, mentoring, coaching, or flexible work arrangements.

Accessible Application for All

As part of the Disability Confident Scheme, we support candidates with disabilities or long-term health conditions through the Offer an Interview Scheme, for those meeting the essential skills for the role. Contact our Resourcing team to opt into this scheme or for assistance with your application, including larger text, hard copies, or spoken applications.

For any inquiries or to submit your application, please contact: Aoife Magee.

Closing date: 07/07/2026. We reserve the right to close the advert early if we reach enough applications. Join us - Let’s Care for Tomorrow.