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Mid-level generalist title, metro location, and popular GenAI interest increase applicant competition.
Role requires GenAI domain expertise and governance experience, limiting cross-industry transferability.
Explicit six-year requirement and domain-specific GenAI/governance expectations create moderate hiring filters.
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Own the end-to-end lifecycle of Generative AI use cases from ideation through production deployment.
Engage with business stakeholders to identify, prioritize GenAI opportunities and define success criteria, KPIs, and value realization metrics.
Lead stakeholder management including facilitating workshops, aligning priorities, and communicating progress and risks to leadership.
Minimum 6 years of experience in software development/engineering.
Work location: Hyderabad with a hybrid work model (3 days work from office).
Proven experience in delivery governance including sprint planning, backlog prioritization, and release planning.
Experience managing product roadmaps and stakeholder communication in AI or software projects.
Experienced in leading AI or software product initiatives with a focus on value realization and ROI measurement.
Strong interface management skills across business, technology, governance, and delivery teams.
Able to guide engineering teams on translating business priorities into technical implementation and architecture reviews.