Data Engineering Manager

What you do

This is a key role within our recently created Transformation function which sits within Underwriting.  This is a unique opportunity to work within a team that is driving change within the commercial front end of the insurance business.

The role will oversee a centralized data analytics centre for the commercial and technical areas, providing consolidated, granular, accurate data analysis working closely and in tandem with the Data Science and Data Program Managers

What you bring

Responsibilities will include, but are not limited to, the following:

• Lead the team in delivering the successful transformation of the Allianz data analytics environment to support the delivery of the Underwriting function’s strategic agenda
• Establish and deliver a clear roadmap for the creation of a robust data engineering infrastructure aimed at ensuring commercial and strategic success for the business
• Technical leader for the Underwriting UAT of the policy and claims administration systems data to be delivered as part of a key strategic program
• Technical leader for the development and delivery of the new Underwriting Datamart based on Databricks platform
• Key lead in the introduction and embedding of a Cloud computing environment for Underwriting
• Develop and maintain automated ETL data pipelines to drive efficiencies in new TOM.
• Work with the Data Science and Data Program Managers to support the creation, maintenance and enhancement of reports, tools, datasets and dashboards to facilitate/provide analysis and ongoing review of key business metrics
• Translate data analytics into a format for presentation to senior management
• Gather, interpret, identify gaps with existing analytics and translate into requirements for business solutions
• Lead the embedding of data engineering concepts and best practices to support development of Allianz process and procedures

What we need

To be successful in this position you will need to have most of the following skills/ experience:

• Experience of managing teams and/or projects with strong stakeholder management skills.
• Experience of the application of Data Engineering within the Insurance sector (could be a data focussed Actuary going down the Data Engineering route or Data Engineer with commercial insurance experience) 
• Programming experience essential with direct exposure to Python and SQL.
• An understanding and experience of the Databricks platform desirable
• Experience of working with, and knowledge of, Data Science practices desirable
• Experience of automation and CI/CD pipelines desirable
• Self-starter and resolves complex problems without direct supervision
• Ability to balance business requirements with simplicity in solutions
• Possessing consulting, organizational transformation and/or change management experience
• Experience in working cross functionally and collaboratively with others 
• Excellent communication skills, with the ability to explain complicated processes and concepts to non-experts
• Excellent analytical skills (capable of understanding complex data structures, organize and structure data extracts)
• High attention to detail including a commitment to accuracy of work.
• Honesty and Integrity
• Exceptional academic background in Maths and IT from top tier university

51040 | Underwriting | Professional | Non-Executive | Allianz Partners | Full-Time | Permanent

Allianz Group is one of the most trusted insurance and asset management companies in the world. Caring for our employees, their ambitions, dreams and challenges, is what makes us a unique employer. Together we can build an environment where everyone feels empowered and has the confidence to explore, to grow and to shape a better future for our customers and the world around us. 

We at Allianz believe in a diverse and inclusive workforce and are proud to be an equal opportunity employer. We encourage you to bring your whole self to work, no matter where you are from, what you look like, who you love or what you believe in.
We therefore welcome applications regardless of ethnicity or cultural background, age, gender, nationality, religion, disability or sexual orientation.
Great to have you on board. Let's care for tomorrow.