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Insurance Data Product Owner
2 months ago
Vallum Associates is seeking a highly skilled Insurance Data Product Owner to join our team. As a key member of our organization, you will be responsible for delivering value from data to stakeholders, defining business requirements, and prioritizing projects.
Key Responsibilities- Deliver Business Value: Collaborate with stakeholders to identify business needs and develop data-driven solutions.
- Define Business Requirements: Work with cross-functional teams to document and prioritize business requirements, ensuring alignment with company goals.
- Communicate Effectively: Share data team capabilities and tools with stakeholders, providing transparency and ensuring successful project outcomes.
- Document Requirements: Utilize industry-standard tools and techniques to document business outcomes, data flows, and data requirements.
- Ensure Business Value: Verify that business requirements are understood by the team and that data solutions meet stakeholder needs.
- Support Delivery: Collaborate with engagement partners to deliver requirements through analysis and testing, as needed.
- Communicate Timelines: Provide stakeholders with clear timelines, expected outcomes, and transparency throughout the project lifecycle.
- Embed Service Excellence: Incorporate Service Excellence principles into data contracts, ensuring a high level of service quality.
- Stay Informed: Maintain knowledge of the technology stack, data architecture, and data culture principles to effectively represent the data team.
- Expertise in Data: Develop expertise in specific datasets, interrogate data, and specify views to support reporting requirements.
- Passion for Data-Driven Decision Making: Demonstrate a passion for using data and technology to drive business decisions.
- Tenacious and Detail-Focused: Possess a tenacious and detail-focused approach to problem-solving and data analysis.
- Communication and Collaboration: Ability to communicate and work with stakeholders across functions, understand business requirements, and help them utilize existing data tools and capabilities.
- Problem-Solving and Root Cause Identification: Develop problem-solving and root cause identification skills to drive business outcomes.
- Prioritization and Balancing: Ability to balance multiple requirements from different teams and prioritize based on value delivered.
- Data Mapping and Transformation: Experience in capturing, defining, and specifying data mapping and transformation rules.
- Scaled Agile Environment: Thrive in a scaled agile environment involving cross-functional execution teams.
- Coordination and Communication: Ability to coordinate requirements and outcomes across multiple functions within the Data team, especially Data Architecture and Data Engineering, and with Data Culture.
- Technical Skills: Good knowledge of SQL, with knowledge of data modeling concepts and data management techniques being advantageous.
- Desirable Skills: Skills in implementing reports/analytics are desirable, as is knowledge of AWS and Snowflake.
- Industry Experience: Experience in the Insurance sector is not required but would be an advantage.
