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Tier-1 brand plus Bangalore metro but senior, specialized role reduces candidate density.
Core AI product skills transfer across industries, but enterprise energy/regulatory experience raises domain specificity.
Explicit 10–20 years plus 5+ years AI/ML product experience, cloud and MLOps requirements increase filter rigor.
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Define and own AI product vision, roadmap, and measurable success metrics aligned with business strategy and enterprise priorities.
Lead end-to-end product execution of AI/ML and Generative AI solutions including discovery, development, launch, and continuous improvement with focus on scalability and responsible AI.
Collaborate cross-functionally with data scientists, engineers, architects, UX, and business stakeholders to ensure product adoption, value realization, and communicate progress to senior leadership.
10–20 years of product management experience with at least 5 years specifically in AI/ML products.
Bachelor’s degree in engineering, Computer Science, Data Science, Analytics, or a related field.
Technical expertise in AI/ML concepts including supervised/unsupervised learning, NLP, Generative AI, model evaluation, MLOps, and cloud platforms (specifically Microsoft Azure).
Experience with product management fundamentals including discovery, roadmaps, PRDs, agile delivery, and backlog prioritization.
Experienced in managing AI/ML product lifecycles in enterprise or regulated environments such as energy or finance.
Strong abilities to translate complex technical AI concepts into clear business narratives and define ROI for AI initiatives.
Skilled at cross-functional leadership and stakeholder management, working with global teams and influencing senior leadership without formal authority.