Product Owner- Data Analytics

Key Skills:

Roles and Responsibilities:

Product Ownership & Stakeholder Engagement:

• Serve as the

  primary point of contact

  for business stakeholders for all data-related initiatives
• Translate business objectives into clear functional and technical requirements
• Drive product vision and roadmap aligned with business goals
• Collaborate with architecture, engineering, and business teams to ensure successful delivery
• Take accountability for

  end-to-end product delivery

  including UAT sign-off

Data Analysis & Insights:

• Convert complex data into actionable insights and compelling visualizations using BI tools
• Work closely with stakeholders to design relevant metrics that support business decisions
• Design report prototypes and enhance data visualizations for improved decision-making

Solution Design & Execution:

• Design and document data flows, system architecture, and data structures
• Define business rules for data accuracy and ensure data quality
• Guide data engineering team in implementing accurate and efficient data pipelines
• Potentially write SQL scripts to extract and manipulate data as needed

Testing & Integration:

• Coordinate cross-functional, cross-regional integration and end-to-end testing
• Ensure data accuracy, consistency, and completeness across systems
• Approve solutions before release to User Acceptance Testing (UAT)

Leadership & Communication:

• Present findings and proposals clearly to leadership and stakeholders
• Mentor junior team members and lead collaboration across business and IT
• Facilitate and participate in Agile ceremonies and sprint planning

Skills Required:

• Minimum 7 years' experience in product ownership, data analytics, or business analysis
• Proven experience working with cloud platforms (AWS preferred) and data ecosystems
• Proficiency in Power BI, SQL, and data visualization best practices
• Experience with system architecture, data pipelines, and large-scale data analysis
• Strong understanding of Agile/Scrum methodology and SDLC
• Excellent communication, stakeholder management, and problem-solving skills

Preferred Qualifications:

• Experience with Python and Snowflake
• Background in Digital Health or similar data-intensive industries
• Experience working on enterprise-level or global data analytics programs

Education: