Data Product Owner

Duties

Manage project execution.

Accountable for delivery of data products and projects within the Finance domain for Data Marketplace implementation.

• Monitor project milestones and deliverables.
• Review, provide feedback and sign-off on all project related deliverables like data architecture, technical design and solution, data model, data catalog, test strategy, test plan and test results.
• Liaise between business and technical aspects of projects.
• Responsible for stakeholder management and engagement with senior leadership across different departments within the company during the entire product development and launch process.
• Collaborate with the Business Team to elicit business needs and requirements, determine the scope and prioritize the data use-cases.
• Plan project stages.
• Create and maintain data product goal, vision, use-cases, and Product Backlog Items for building data products.
• Define and document product requirements including features, user stories, and acceptance test criteria.
• Collaborate with project personnel including Data Architects, Data Analysts, and Data Engineers for problem solving and solution design.
• Work with the Data Analyst and Data Engineer to troubleshoot any issues/data discrepancies.
• Guide the BI Engineer in creating the business intelligence dashboard/visualizations and provide feedback and sign-off.
• Collaborate with the Delivery Lead on project delivery timelines, estimated effort and delivery roadmap.
• Collaborate with the Data team leadership, IT team and DevOps team on product deployment planning and implementation.
• Participate and contribute to Scrum events as a part of Agile product development.
• Participate and contribute to data governance and data quality initiatives.
• Provide mentorship to team members on different topics related to data product build, data cataloging, data quality and governance of data products.
• Communicate with stakeholders on product updates, implementation details and train users on product features.

Requirements

• Bachelor’s degree in Information Technology, Computer Science, Computer/Electronics Engineering, Business Data Analytics, or a closely related field plus 5 years of experience as a Business/Data Analyst, Software Engineering Analyst, Software Engineer, Data/Analytics Engineer, or closely related position.
• Prior work experience must include: Applied knowledge of insurance domain and products specific to Property and Casualty Insurance, Reinsurance, and Specialty Insurance; Applied knowledge of Insurance Finance and experience in financial and regulatory reporting, as well as advanced analytics implementation in the insurance domain; Applied knowledge of data management practices, processes, and tools; Demonstrated experience in Data Architecture, Data Modeling, Data Engineering, Data Governance, Data Quality, Data Security and Privacy, Data Reporting and Data Visualization, and Cloud Technologies; Product development and management, product ownership, and project management; Applied knowledge of business processes, workflows, systems, and applications across various insurance business functions mainly focusing on Underwriting, Claims, Operations, Distribution and Finance; Knowledge of source system applications like Guidewire, Duck Creek, and Dynamics 365; Applied knowledge of insurance business metrics and Key Performance Indicators, both operational and financial; Experience with reports and dashboards used for understanding business performance within the company/divisions/product lines/business functions, as applicable; Leading cross-functional teams to deliver products and projects with applied knowledge of Agile framework, practices, and product development principles; Applied knowledge of third-party datasets and data integration for data enrichment and risk profiling and management in Insurance domain; Working on cloud platforms (e.g., AWS, Azure, GCP) and related services for data storage, processing, and analytics; Using visualization tools such as Power BI and programming languages such as SQL/R/Python; and, using Agile Project Management Tools like Azure Dev Ops/Rally/Jira.

Benefits

• Opportunity for company bonus based upon a percentage of eligible pay.
• In addition, the company makes available a variety of benefits to employees, including health insurance coverage, an employee wellness program, life and disability insurance, 401k match, retirement savings plan, paid holidays and paid time off (PTO).