Data Modelling Lead, Associate Director - Insurance

Data Modelling Lead, Associate Director - Insurance

Full-Time 70000 - 90000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Lead transformational data solutions for insurance clients and collaborate with diverse teams.
  • Company: Join Deloitte's innovative AI & Data service offering in a dynamic environment.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Inclusive culture that values contributions and supports career development.
  • Why this job: Make a real impact in the insurance industry by shaping data strategies.
  • Qualifications: Experience in data modelling and strong stakeholder management skills required.

The predicted salary is between 70000 - 90000 £ per year.

We are seeking to hire experienced Senior Data Modellers in the Insurance practice of Deloitte's AI & Data service offering.

Role Overview

You will lead the data design of transformational data solutions for our insurance clients. You will work with other architects with different areas of expertise to define business‑facing data models that coherently enable a range of business processes and insurance functions.

Responsibilities

  • Analysing clients' business and technical environment through workshops and analysis of design documents to derive functional and technical insights to support the design and delivery of data models and data‑related deliverables.
  • Delivery of business‑facing insurance data models that effectively articulate designs, opportunities and challenges and can be used as a foundation for insurance transformations.
  • Inputting to the design of end‑to‑end architectures that articulate what functions are required to support data and analytics activities.
  • Helping market‑leading clients understand how they can use data to address challenges, ambitions or objectives.
  • Leading relationships with senior client stakeholders to define a 'common language for data', so that data across the organisation can be interpreted and used consistently and efficiently for required purposes.
  • Leading the creation of strategic roadmaps for Data & AI capabilities required to generate insights from enterprise data assets.
  • Leading effective, enthused and diverse teams within an inclusive team culture where people are recognised for their contribution.
  • Understanding the importance of stakeholder and change management and supporting development and implementation processes.
  • Contributing to client project delivery by owning one or more workstream(s) and ensuring commercially successful conclusion of the client engagements.
  • Assisting in the further development of our market‑leading solution and delivery offerings and help produce proposal documents to showcase our capabilities to clients.
  • Contributing to the development of our thriving Strategy, Governance and Architecture community.
  • Building our capability by training and managing talented members of our team.

Essential Qualifications

  • Consulting experience, including working on client facing projects.
  • Experience of contributing to proposal writing, presentations and pre‑sales activities.
  • Excellent problem solving and analytical skills.
  • Strong executive‑level stakeholder management using clear communications and able to form strong client relationships.
  • Good in‑depth expertise in functional areas in Insurance such as Finance, Risk, Underwriting, Pricing, Claims, Asset Management (or equivalent).
  • Strong experience as a leader of people, providing dynamic day‑to‑day leadership that nurtures and develops junior talent, creating effective data design teams.
  • Strong understanding of data solutions, including data modelling, data management, data quality, master data management, reference data, reporting and visualisation, analytics and self‑service business intelligence.
  • Experience in data solution architecture e.g. establishing design principles, defining solution patterns while following architecture methodologies.
  • Experience developing a 'common language for data', including data models (all types), data dictionaries, data vocabularies, taxonomies or ontologies.
  • Demonstrate an understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools.
  • Experience engaging with both Business and IT stakeholders to document business outcomes and objectives for large‑scale solutions and programmes.
  • Led data design workshops, including defining client requirements, document data models and reviewing output with stakeholders.
  • Experience working with peers and senior enterprise solution/data architects to align data architecture blueprints across different business units and geographies.
  • Be able to assimilate and apply new techniques and knowledge to achieve business outcomes.
  • Experience of leading multi‑disciplinary teams in fast‑paced project environments and demonstrate personal resilience.
  • Ability to lead and manage 'go‑to‑market' activities such as responding to RFI / RFPs and developing high‑quality proposal materials.
  • Work within an inclusive team culture where people are recognised for their contribution helping them grow their career in Deloitte.

Desirable Qualifications

  • TOGAF certified (or equivalent) or certification/good exposure to architecture and data management frameworks.
  • Certified in Data & AI technologies (e.g. Microsoft Fabric, Snowflake, Databricks or equivalent) and experience in designing and delivering enterprise data solutions including toolset selection, effort and cost estimation or equivalent.
  • Experience and knowledge of delivering innovative enterprise data management frameworks e.g. Data Mesh (or equivalent).
  • Experience and knowledge in designing Data Products for the Insurance industry.
  • Demonstrate a good understanding of Data / Information Governance principles and familiarity with processes, policies and any of the key vendor platforms such as Collibra, Informatica.
  • Experience managing cross‑geography teams, making effective use of offshore delivery teams.
  • Good understanding of regulatory and compliance requirements such as GDPR, IFRS17, Solvency II.
  • Establish technical design authorities to review and manage design decisions.
  • Project Management experience of both waterfall and agile delivery approaches.

Location: London or Manchester (hybrid working)

Data Modelling Lead, Associate Director - Insurance employer: Hm Revenue & Customs (Hmrc)

Deloitte is an exceptional employer, offering a dynamic and inclusive work culture that fosters collaboration and innovation. As a Data Modelling Lead in our Insurance practice, you will have the opportunity to work with market-leading clients while developing your skills in a supportive environment that prioritises employee growth and recognition. With hybrid working options available in London or Manchester, you can enjoy a balanced work-life experience while contributing to transformative data solutions in the insurance sector.

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Contact Details:

Hm Revenue & Customs (Hmrc) Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Modelling Lead, Associate Director - Insurance

Tip Number 1

Network like a pro! Get out there and connect with industry professionals on LinkedIn or at events. We can’t stress enough how important it is to build relationships; you never know who might have the inside scoop on job openings.

Tip Number 2

Prepare for interviews by researching the company and its culture. We recommend practising common interview questions and tailoring your answers to highlight your experience in data modelling and insurance. Show them you’re the perfect fit!

Tip Number 3

Don’t just wait for job postings; reach out directly to hiring managers or recruiters. A friendly message expressing your interest can go a long way. We believe proactive candidates often get noticed first!

Tip Number 4

Apply through our website for the best chance of landing that dream job. We make it easy for you to showcase your skills and experience, so don’t miss out on the opportunity to stand out from the crowd!

We think you need these skills to ace Data Modelling Lead, Associate Director - Insurance

Data Modelling
Data Management
Data Quality
Master Data Management
Reference Data
Reporting and Visualisation
Analytics

Some tips for your application 🫡

Tailor Your CV:Make sure your CV is tailored to the Data Modelling Lead role. Highlight your experience in data modelling and insurance, and don’t forget to showcase your leadership skills. We want to see how you can contribute to our team!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions in the insurance sector. Share specific examples of your past successes and how they relate to the responsibilities outlined in the job description.

Showcase Your Problem-Solving Skills:In your application, emphasise your analytical skills and problem-solving abilities. We love candidates who can think critically and provide innovative solutions, especially in complex environments like insurance.

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team at StudySmarter!

How to prepare for a job interview at Hm Revenue & Customs (Hmrc)

Know Your Data Inside Out

Make sure you have a solid grasp of data modelling principles and the specific tools mentioned in the job description. Brush up on your knowledge of data management, quality, and analytics, as these will be crucial in demonstrating your expertise during the interview.

Showcase Your Stakeholder Management Skills

Prepare examples that highlight your experience in managing relationships with senior stakeholders. Be ready to discuss how you've defined a 'common language for data' in previous roles, as this is key for the position. Use clear communication to illustrate your ability to form strong client relationships.

Demonstrate Leadership Experience

Since this role involves leading teams, come prepared with stories that showcase your leadership style. Talk about how you've nurtured junior talent and created effective data design teams. Highlight any experience you have in fast-paced project environments to show your resilience.

Understand the Insurance Landscape

Familiarise yourself with the functional areas in insurance such as Finance, Risk, and Underwriting. Be ready to discuss how data can address challenges in these areas. This will not only show your industry knowledge but also your ability to contribute to the business-facing data models required for the role.