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Mid-level generalist product title, metro location, and broad AI/fintech skillset drive high competition.
Fintech, wealth management and regulated environment plus preferred credentials make background fit highly industry-specific.
Explicit 4–6 years, MBA/STEM plus fintech credentials and AI proficiency create high selection filters.
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Own product lifecycle activities for Franklin Templeton’s Goals Optimization Engine wealth management platform, including discovery, requirements definition, launch, and adoption.
Analyze business needs across advisory, retirement, and private wealth segments, translating them into product requirements and prioritizing enhancements with engineering, design, and investment teams.
Support deployment activities, compliance and risk assessments, product documentation, testing, and performance monitoring to deliver scalable AI/ML-enabled digital investment solutions within a regulated financial services environment.
4-6 years of experience in product management, product strategy, business analysis, or technology delivery.
Undergraduate degree in STEM and an MBA from a leading institution.
Experience in fintech, wealthtech, asset management, digital banking, payments, or technology-driven organizations.
Work Shift Timings: 2:00 PM - 11:00 PM IST
Demonstrated expertise in AI/ML product management with experience defining use cases, success metrics, and implementation tradeoffs for AI-enabled financial products.
Familiarity with blockchain, digital assets, tokenization, wallets, smart contracts, and Web3-related product concepts in financial services.
Strong analytical, data-driven decision-making skills, and experience working in Agile environments delivering digital client experiences in regulated markets.