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Insurance Data Product
3 months ago
You will have a key focus on:
Managing 4-6 non-permanent team members.nIdentifying and implementing improvements to our processes and ways of working.nPromoting team values and developing open, transparent relationships across data teams.nSupporting and developing junior team members.nOnboarding new team members.
Key Responsibilities:
nEnsure delivery of data value to stakeholders.nWork with stakeholders to define, document, and prioritize business requirements.nShare data team capabilities and tools with stakeholders to improve processes and decision-making.nDocument requirements, business outcomes, data flows, and data using identified tools and techniques.nEnsure the business value of requirements is understood by the team.nCommunicate timelines, expected outcomes, and provide transparency to stakeholders.nEmbed Service Excellence principles in data contracts.nCommunicate outcomes and successes with the wider team.nStay aware of technology stack, data architecture, and data culture principles to represent the data team effectively.nBecome an expert in specific datasets within the domain and support reporting requirements.nEngage various functions within the Data team to deliver business outcomes and strategic goals.
Key Skills and Abilities:
nPassion for using data and technology to drive decision-making.nTenacious, numerate, and detail-focused.nExperience in the Insurance sector, preferably London Market.nAbility to communicate and work with stakeholders across functions, understanding business requirements, and helping them utilize data tools and capabilities.nProblem-solving and root cause identification skills.nEffective communication with stakeholders, keeping them updated on scope, timelines, and outcomes.nAbility to balance multiple requirements and prioritize based on value delivered.nExperience in capturing, defining, and specifying data mapping and transformation rules.nThrive in a scaled agile environment involving cross-functional execution teams.nCoordinate requirements and outcomes across multiple functions within the Data team, especially Data Architecture and Data Engineering.nGood knowledge of SQL, with knowledge of data modeling concepts and data management techniques being advantageous.nSkills in implementing reports/analytics are desirable.nKnowledge of AWS and Snowflake is desirable.
