PRS AVP Data Management Specialist

ChubbReadington Township, NJ
4d

About The Position

The PRS Data Strategies Manager is the business owner of strategic data platforms supporting Personal Risk Services (PRS). This position drives the execution of data flows of the high-net-worth market leader in the P&C insurance industry ensuring our data assets support innovation and operational excellence. As manager of the Data Strategies team, you will work closely with the PRS IT Data team to ensure the accuracy and evolution of the data environments that are critical to the delivery of PRS profitability, growth, and world class customer service.

Responsibilities

  • Manage the business team responsible for the advancement of PRS data strategy including the management, prioritization, development of best practices on data-driven initiatives
  • Lead organizational change through the incorporation of new tools and technologies that shape the future of PRS data platforms and strategic initiatives; Foster a culture of continuous improvement and learning within the team
  • Coordinate with business, analytics, IT/Data engineering and governance teams to develop and communicate a data strategy that aligns with PRS and enterprise business objectives, ensuring data initiatives, architecture, and technology roadmap support long-term growth and competitive advantage
  • Serve as business owner for the content and direction of the PRS analytical data warehouse and client data management platforms
  • Govern the use and interpretation of relevant PRS and corporate data sources including the oversight of data mapping and lineage across Chubb’s data systems
  • Drive stakeholder engagement from PRS business leaders including Actuarial, Data Science, Product to prioritize business requirement features and design innovative data solutions that deliver measurable business value
  • Ensure data integrity and accountability through the implementation of quality assurance best practices and procedures to ensure accuracy and proper controls
  • Ensure successful project execution by driving decision-making, removing impediments, and managing interdependencies with other Product Owners and key stakeholders
  • Define and articulate project vision, goals, and success metrics to cross-functional teams
  • Identify, summarize, and effectively communicate complex data needs and propose solutions to Business and IT stakeholders
  • Contribute to emerging tech initiatives (such as AI) to deliver measurable business outcomes, improving our data quality and resulting in improvements in loss ratio, expense ratio, and customer satisfaction
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