Lead Product Manager

• Define and own product strategy: Define and own the product vision, roadmap, and success metrics for Generative Artificial Intelligence (GenAI) and Agentic Artificial Intelligence (Agentic AI) solutions
• Lead full product lifecycle: Lead end-to-end delivery of AI-powered products, from ideation through deployment and iteration
• Drive cross-functional collaboration: Collaborate with engineering, data science, design, and business stakeholders to ensure alignment and impact
• Integrate advanced AI models: Evaluate and integrate GenAI models (e.g., Large Language Models (LLMs), multimodal models) into enterprise-grade applications
• Champion responsible AI practices: Ensure compliance with governance, security, and ethical AI standards
• Promote innovation culture: Champion experimentation, rapid prototyping, and continuous learning
• Contribute to enterprise planning: Act as key participant in large-scale planning
• Influence business direction: Influence digital strategy for the business line requiring in-depth evaluation of multiple factors including intangibles or unprecedented factors
• Make strategic decisions: Make decisions in digital strategy for product/functionality/experience area requiring strong understanding of the business, policies, procedures and/or compliance requirements
• Lead digital teams: Lead a broad team of digital professionals to meet deliverables and drive new initiatives
• Mentor and manage projects: Potentially lead projects, teams or serve as a peer mentor
• The ability to travel up to 10% of the time

5+ years of Product Management, product development, strategic planning, process management, change delivery experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education

• Product Leadership: experience in product management, with at least 1 year driving AI/GenAI or agentic AI products
• Agentic AI: Good knowledge of autonomous agents, including memory, planning, and tool integration
• GenAI Platforms: Proven hands-on experience with OpenAI, Anthropic, Vertex AI, and Azure OpenAI ecosystems
• Enterprise AI Delivery: Proven success in launching and scaling AI in regulated environments
• Stakeholder Management: Strong communicator with a track record of cross-functional alignment and executive stakeholder management
• Agile Product Development: Skilled in agile frameworks and managing the full product lifecycle, from conceptualization till implementation
• Intelligent Interfaces: Experience with synthetic agents, voice interfaces, or automation tools
• Technical Background: AI/ML, data science, or architecture experience
• able to bridge tech and business
• Regulatory Awareness: Knowledge of financial regulations and responsible AI practices
• Education: MS / BTech in Computer Science or related field. MBA desired
• Platform Tools: Familiarity with Google ADK and Microsoft Copilot Studio
• Strategic Vision: Ability to align product strategy with business and AI trends
• Execution: Skilled in risk mitigation, dependency management, and timely delivery
• Innovation: Promotes experimentation and continuous improvement
• Collaboration: Connects technical, business, and compliance teams
• User-Centric Design: Focus on intuitive, engaging client experiences
• Performance Metrics: Uses KPIs for data-driven decisions and optimization