Senior Data Modelling Lead

4 weeks ago

London, Greater London, United Kingdom https:jobs-redefined.cositemap Full time
Unlock the Power of Data in Insurance

Are you ready to be at the forefront of some of the most ambitious AI & Data projects in the insurance industry? We're seeking an experienced Data Modelling Lead to join our team and help our clients achieve their vision for a data-powered future.

Key Responsibilities:
  • Analyse clients' business and technical environments to derive functional and technical insights that support the design and delivery of data models and data-related deliverables.
  • Deliver business-facing insurance data models that effectively articulate designs, opportunities, and challenges and can be used as a foundation for insurance transformations.
  • Input into the design of end-to-end architectures that articulate what functions are required to support data and analytics activities.
  • Help market-leading clients understand how they can use data to address challenges, ambitions, or objectives.
  • Lead 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.
  • Understand the importance of stakeholder and change management and support development and implementation processes.
  • Assist in the further development of our market-leading solution and delivery offerings and help produce proposal documents to showcase our capabilities to clients.
  • Contribute to the development of our thriving Strategy, Governance, and Architecture community.
  • Build our capability by training and managing talented members of our team.
Requirements:
  • Consulting or equivalent experience, including working on client-facing projects and experience of contributing to proposal writing, presentations, and pre-sales activities.
  • Strong senior stakeholder management using clear communications and the ability to form strong client relationships and explain complex data designs to business stakeholders.
  • Good in-depth expertise in functional areas in Insurance such as Finance, Risk, Underwriting, Claims, Asset Management.
  • Strong experience in managing people, providing dynamic day-to-day workstream 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 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 in 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, documenting data models, and reviewing output with stakeholders.
  • Work within an inclusive team culture where people are recognised for their contribution, helping them grow their career in Deloitte.
  • TOGAF certified (or equivalent) or certification/good exposure to architecture and data management frameworks.
  • Experience and knowledge of delivering innovative enterprise data management frameworks, e.g. Data Mesh.
  • Experience and knowledge in designing Data Products for the Insurance industry.
  • Experience in conducting architectural evaluation, design, and analysis of enterprise-wide systems, including on-premise and cloud-based solutions.
  • Experience in defining the data components of an architecture blueprint and technology selection.
  • Experience as part of effective cross-geography teams, making effective use of offshore delivery teams.
  • Work with development teams to assure data design is translated into a robust implementation.
  • Ability to size projects and shape delivery of large programmes.
  • Good understanding of regulatory and compliance requirements, such as GDPR, IFRS17, Solvency II.
  • Project Management experience of both waterfall and agile delivery approaches.

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