Product Owner
Summary
Owns analytics and AI product strategy, translating business goals into technical requirements and collaborating with data teams to deliver data-driven solutions that enhance decision-making.
The Product Owner will work closely with business stakeholders, data scientists, data engineers, architects, and development teams to deliver innovative analytics products that drive business value and enhance decision-making.
Key Responsibilities
Product Strategy & Ownership
- Define and own the product vision, strategy, and roadmap for analytics and AI initiatives.
- Translate business objectives into actionable product requirements and user stories.
- Prioritize features, enhancements, and backlog items based on business value and strategic goals.
- Drive end-to-end product lifecycle management from ideation through deployment and adoption.
- Establish success metrics and monitor product performance against business outcomes.
Analytics & AI Leadership
- Identify opportunities to leverage advanced analytics, machine learning, and AI to solve business challenges.
- Collaborate with data science teams to develop predictive, prescriptive, and generative AI solutions.
- Ensure analytical products deliver actionable insights and measurable business impact.
- Promote adoption of AI and data-driven decision-making across the organization.
Data & Technology Collaboration
- Partner with data engineering teams to define data requirements, pipelines, governance, and quality standards.
- Work closely with architects and technology teams to ensure scalable and reliable analytics platforms.
- Understand and communicate dependencies across data, analytics, and application ecosystems.
- Ensure alignment between business requirements and technical implementation.
Stakeholder Management
- Engage with business leaders, operational teams, and executives to gather requirements and communicate product progress.
- Facilitate workshops, requirement sessions, and product demonstrations.
- Act as the primary liaison between business and technical teams.
- Drive consensus among stakeholders with competing priorities.
Agile Delivery
- Own and manage the product backlog.
- Define acceptance criteria and validate delivered functionality.
- Participate in sprint planning, reviews, and retrospectives.
- Ensure timely delivery of high-quality solutions.
Required Qualifications
- Bachelor's or Master's degree in Business, Computer Science, Data Science, Engineering, Analytics, or a related field.
Bachelor's/Master's in Engineering 5-8 years