Insurance Data Product
4 weeks ago
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.
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