Data Product Owner

Munich Re Specialty - North America; Hartford (CT); Hybrid; USD 189,000 - 232,000; Full time

Job summary

Munich Reinsurance America, Inc. in Hartford, CT, is seeking a Data Product Owner to lead data product development and manage the product backlog for the Data Marketplace project.

The role requires 5+ years in data/analytics and strong knowledge of data architecture, governance, and cloud technologies, with experience in insurance finance and regulatory reporting. You will collaborate with cross-functional teams and report to the Hartford office 2 days a week.

Qualifications

• Bachelor’s degree plus 5 years in data/analytics roles.
• Insurance Finance knowledge and regulatory reporting experience.
• Experience with data architecture, governance, and cloud technologies.
• Agile product development, cross-functional leadership, and project ownership.
• Knowledge of Guidewire, Duck Creek, and Dynamics 365.

Responsibilities

• Lead data product development and manage the product backlog.
• Oversee data architecture, data modeling, and data quality.
• Collaborate with data engineers/analysts on problem solving and solution design.
• Communicate with stakeholders and train users on features.

Skills

Agile project management

Stakeholder management

Data analysis

Data governance

Data modeling

Data quality

Cross-functional collaboration

Communication skills

Education

Bachelor’s degree in Information Technology, Computer Science, Computer/Electronics Engineering, Business Data Analytics

Tools

Power BI

SQL

Python

R

Azure DevOps

Jira

Rally

Job description

Company: Munich Reinsurance America, Inc.

Position: Data Product Owner

Location: Hartford, Connecticut

Job Type: Full-Time

Salary Range: is $210,530 to $210,530 per year

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.
• May telecommute but must have ability to report to Hartford, CT office 2 times per week.

Benefits

• Opportunity for company bonus based upon a percentage of eligible pay.
• Health insurance coverage.
• An employee wellness program.
• Life and disability insurance.
• 401k match.
• Retirement savings plan.
• Paid holidays and paid time off (PTO).