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Insurance Data Product

4 months ago

London, UK, United Kingdom Vallum Associates Full time

My client is a dynamic and innovative specialty insurer and reinsurer. They are looking for a Lloyd's Market Data Product Manager to join their team. This role is high profile. interating with all senior stakeholder and c-suite and needs someone with strong process improvement experience


You will have a key focus on:


  • Managing 4-6 non-permanent team members.
  • Identifying and implementing improvements to our processes and ways of working.
  • Promoting team values and developing open, transparent relationships across data teams.
  • Supporting and developing junior team members.
  • Onboarding new team members.


Key Responsibilities:

  • Ensure delivery of data value to stakeholders.
  • Work with stakeholders to define, document, and prioritize business requirements.
  • Share data team capabilities and tools with stakeholders to improve processes and decision-making.
  • Document requirements, business outcomes, data flows, and data using identified tools and techniques.
  • Ensure the business value of requirements is understood by the team.
  • Communicate timelines, expected outcomes, and provide transparency to stakeholders.
  • Embed Service Excellence principles in data contracts.
  • Communicate outcomes and successes with the wider team.
  • Stay aware of technology stack, data architecture, and data culture principles to represent the data team effectively.
  • Become an expert in specific datasets within the domain and support reporting requirements.
  • Engage various functions within the Data team to deliver business outcomes and strategic goals.


Key Skills and Abilities:

  • Passion for using data and technology to drive decision-making.
  • Tenacious, numerate, and detail-focused.
  • Experience in the Insurance sector, preferably London Market.
  • Ability to communicate and work with stakeholders across functions, understanding business requirements, and helping them utilize data tools and capabilities.
  • Problem-solving and root cause identification skills.
  • Effective communication with stakeholders, keeping them updated on scope, timelines, and outcomes.
  • Ability to balance multiple requirements and prioritize based on value delivered.
  • Experience in capturing, defining, and specifying data mapping and transformation rules.
  • Thrive in a scaled agile environment involving cross-functional execution teams.
  • Coordinate requirements and outcomes across multiple functions within the Data team, especially Data Architecture and Data Engineering.
  • Good knowledge of SQL, with knowledge of data modeling concepts and data management techniques being advantageous.
  • Skills in implementing reports/analytics are desirable.
  • Knowledge of AWS and Snowflake is desirable.