Franklin Templeton
At Franklin Templeton, we believe success is built through powerful partnerships. As a forward‑thinking asset manager, we build dynamic relationships with clients, understand their goals, and navigate complex markets together. We leverage cutting‑edge strategies and deep insights to unlock opportunities for long‑term wealth creation. Our talented, global teams bring expertise that is both broad and unique.
From our welcoming, inclusive, and supportive culture to our globally diverse business, we offer opportunities not only to help you reach your potential, but also to contribute to our clients’ success.
About the Department:
Our Generative AI team delivers innovative, secure, and compliant AI solutions that directly support enterprise strategy. We work closely with business leaders, data scientists, architects, and compliance partners to build AI products that create measurable business value. The environment is fast‑moving, collaborative, and experimentation‑driven, offering opportunities to influence enterprise‑wide AI adoption and deepen technical and strategic expertise.
Strategic Responsibilities:
You Will:
Translate business priorities into meaningful AI use cases.
Define clear product narratives outlining user needs and outcomes.
Build annual vision statements and quarterly roadmaps.
Innovation & Experimentation:
Lead workshops to uncover high‑value GenAI opportunities.
Prototype concepts with data science partners.
Document experiments and track progression to production.
Monitor innovation metrics and learning velocity.
Product Delivery & Lifecycle Management:
Manage backlogs for product features and model lifecycle.
Refine prompts, model parameters, and data sources.
Define evaluation criteria and ensure thorough testing.
Drive continuous improvement through structured feedback loops.
Responsible AI & Governance:
Assess risks and ensure adherence to Responsible AI standards.
Implement privacy, security, and bias‑mitigation controls.
Maintain documentation and support audit processes.
Partner with Legal, Risk, and Compliance teams on approvals.
Business Value, Adoption & Change Management:
Define adoption metrics and ensure they are measurable.
Support training partners with use cases and product insights.
Gather user feedback and convert it into product improvements.
Report adoption progress and business outcomes.
Architecture & Technical Alignment (Preferred):
Understand GenAI system components and technical constraints.
Co‑develop solution blueprints with architects and engineers.
Ensure integrations meet enterprise standards.
Optimize performance, cost, and observability components.
Experience:
Background in AI product management or digital product leadership.
Experience working with data science and engineering teams.
Exposure to model lifecycle and evaluation frameworks.
Technical Skills:
Understanding of Generative AI architectures and model workflows.
Ability to work with evaluation metrics and quality controls.
Familiarity with analytics and experimentation tools.
Soft Skills:
Strong storytelling and communication skills.
Comfort with ambiguity and rapid experimentation.
Ability to influence cross‑functional teams and senior stakeholders.
Job Level - Individual Contributor
Work Shift Timings - 2:00 PM - 11:00 PM IST
At Franklin Templeton, we believe your benefits should support your life, your goals, and your future. That’s why we offer a comprehensive Total Rewards package designed to help you thrive both personally and professionally.
Highlights of our benefits include:
Franklin Templeton is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all applicants and existing employees, and we evaluate qualified applicants without regard to ancestry, age, color, disability, genetic information, gender, gender identity, or gender expression, marital status, medical condition, military or veteran status, national origin, race, religion, sex, sexual orientation, and any other basis protected by federal, state, or local law, ordinance, or regulation.
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