Product Owner

Job Description

Job Description As the Product Owner, you will own the end-to-end lifecycle of our enterprise solutions from ideation through launch and iteration. You ll blend strategic vision with technical fluency to translate generative AI, analytics and automation platforms into high-impact product features. You will work in Agile squads, partner with engineering, data science, design and business teams, and communicate effectively with stakeholders at all levels. Product Strategy Vision: Define, refine and evangelize the product roadmap, ensuring alignment with market needs and business objectives. Market Competitive Analysis: Conduct research to identify AI trends, differentiation opportunities and competitive threats. Backlog Ownership: Author clear user stories and acceptance criteria, prioritize backlog by customer value, technical feasibility and ROI. Cross-Functional Leadership: Collaborate with AI/ML engineers, data scientists, architects, designers and business stakeholders to drive delivery. AI Model Integration: Oversee integration, deployment and lifecycle management of AI models, ensuring performance, security and compliance. Stakeholder Communication: Act as the primary product liaison reporting status, risks and dependencies to executives, clients and partners. Metrics Optimization: Define KPIs/OKRs, analyze product usage and performance data, and adjust roadmap based on insights. Go-to-Market Enablement: Partner with marketing, sales and customer success on launch planning, user onboarding and adoption strategies. Risk Compliance: Identify technical, ethical and regulatory risks, implement mitigation plans and responsible-AI guardrails. Agile Process Management: Lead sprint planning, backlog grooming and retrospectives to maintain velocity and quality. Qualifications Education: Bachelor s in Computer Science, Engineering, Data Science or a related field. Experience: 4+ years in product management for technology or enterprise software, including significant AI-driven product exposure. Certifications such as CSPO, PMI-ACP or PMP. Skills: Technical Fluency: Comfortable discussing system architecture, APIs and data-model trade-offs with engineering teams. Strong understanding of Artificial Intelligence technologies and their business applications Experience working in Agile/Scrum environments; certification such as CSPO or similar is a plus Exceptional communication and leadership skills, capable of effectively interfacing with technical and non-technical stakeholders Excellent analytical and problem-solving abilities Demonstrated ability to manage competing priorities under tight deadlines Proven track record of driving products from concept to launch without direct authority.