Product Owner

Job Description: 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.

Responsibilities: 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.

Qualifications: Bachelor's/Master's in Engineering 5-8 years