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Mid-tier fintech brand, senior product title, metro location, and broad AI/platform skillset drive high competition.
Requires specific AI/ML platform and enterprise product experience, reducing cross-industry portability.
Explicit 6–10 years, 3+ years AI platform experience, cloud/MLOps tool knowledge and technical degree make filtering strict.
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Own the end-to-end product strategy, vision, and roadmap for the AI Platform, focusing on predictive and generative AI capabilities.
Lead user-centric product development by translating user insights into hypotheses, running experiments, and iterating the platform to deliver measurable business impact.
Align multiple internal stakeholders and drive adoption of the AI platform, defining KPIs such as platform usage, reliability, impact, and customer satisfaction.
Bachelor’s degree in Computer Science, Engineering, Data Science, or related field. Advanced degree (e.g., MBA) is a plus but not mandatory.
6–10 years of product management or technology strategy experience, including at least 3 years focused on AI/ML platforms or enterprise data products.
Strong understanding of AI/ML lifecycle, including predictive, generative AI, MLOps, LLMOps, and relevant cloud AI services (AWS, Azure, GCP).
Experience leading global cross-functional teams and working with technical and business stakeholders; familiarity with responsible AI governance and compliance.
Experienced in defining and executing AI platform strategies with a focus on enterprise-scale solutions blending emerging AI technologies (GenAI, agentic AI).
Skilled at collaborating cross-functionally and influencing without formal authority in a complex organizational environment.
Comfortable balancing experimentation via lean testing with disciplined execution in agile product development cycles.