AI Product Owner

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    "ExternalDescriptionStr": "<p><strong>Position Overview</strong></p><p>The <strong>AI Product Owner</strong> will lead the <strong>vision, strategy, and execution of AI‑driven products and capabilities</strong> across the organization. This role acts as the bridge between business stakeholders, data science teams, engineering, and end‑users—ensuring AI solutions deliver measurable business value, operational efficiency, and exceptional user experience. <strong>The ideal candidate combines product leadership, technical fluency in AI/ML, and a strong understanding of business processes.</strong></p><p><strong>Location:&nbsp;</strong>Noida/Bangalore</p><p><strong>What You’ll Do</strong></p><ul><li>Define and own the product vision, roadmap, and success metrics for AI/ML products.</li><li>Translate business needs into clear product requirements, user stories, and acceptance criteria.</li><li>Prioritize the product backlog based on business value, feasibility, and strategic alignment.</li><li>Collaborate with data scientists, engineers, and UX teams to deliver high‑impact AI solutions.</li><li>Drive experimentation, prototyping, and iterative improvements using agile methodologies.</li><li>Ensure responsible AI practices, including fairness, transparency, and data governance.</li><li>Evangelize AI capabilities across the organization and support change management.</li><li>Monitor product performance, user adoption, and ROI to guide continuous improvement.</li></ul><p>&nbsp;</p><p><strong>What You’ll Bring</strong></p><ul><li>A strategic mindset with the ability to convert complex business challenges into AI opportunities.</li><li>Strong communication and stakeholder‑management skills across technical and non‑technical groups.</li><li>Ability to balance innovation with practicality, ensuring scalable and sustainable AI solutions.</li><li>Passion for emerging technologies, data‑driven decision‑making, and product excellence.</li></ul><p><strong>&nbsp;</strong></p><p><strong>Key Responsibilities</strong></p><ul><li>Lead end‑to‑end lifecycle of AI products—from ideation to deployment and optimization.</li><li>Conduct market research, competitive analysis, and feasibility assessments.</li><li>Partner with cross‑functional teams to ensure timely and high‑quality delivery.</li><li>Define KPIs and track product performance using analytics and user feedback.</li><li>Manage risks, dependencies, and compliance requirements related to AI systems.</li><li>Champion user‑centric design and ensure seamless integration into business workflows.</li><li>Maintain a deep understanding of AI trends, tools, and best practices.</li></ul><p>&nbsp;</p><p><strong>Required Skills &amp; Qualifications</strong></p><ul><li>Strong understanding of AI/ML concepts, data pipelines, and model lifecycle.</li><li>Experience working in Agile/Scrum environments as a Product Owner or similar role.</li><li>Ability to write clear user stories, acceptance criteria, and product documentation.</li><li>Excellent analytical, problem‑solving, and prioritization skills.</li><li>Strong stakeholder engagement and communication capabilities.</li></ul><p><strong>&nbsp;</strong></p><p><strong>Preferred Qualifications</strong></p><ul><li>Experience with cloud platforms (Azure, AWS, GCP) and MLOps frameworks.</li><li>Exposure to LLMs, generative AI, NLP, computer vision, or predictive analytics.</li><li>Certifications such as CSPO, SAFe PO/PM, or AI/ML‑related credentials.</li><li>Background in enterprise digital transformation or automation programs.</li></ul><p>&nbsp;</p><p><strong>&nbsp;Experience</strong></p><ul><li>6–12 years of total experience, with at least 3–5 years in product management, AI/ML, data platforms, or related domains.</li><li>Proven track record of delivering successful AI or data‑driven products.</li></ul><p><strong>&nbsp;</strong></p><p><strong>Educational Qualification(s)</strong></p><ul><li>Bachelor’s degree in engineering, Computer Science, Information Technology, or related field.</li><li>Master’s degree (MBA, MS in Data Science/AI, or equivalent) preferred but not mandatory.</li></ul><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p>",
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