Develop product roadmaps for generative AI initiatives, considering factors such as business impact, technical feasibility, and resource availability

Translate business requirements into technical specifications, working directly with engineering teams to ensure successful implementation of generative AI solutions

Monitor and analyze KPI’s for generative AI projects, providing regular updates to stakeholders and making data-driven recommendations for improvement

Assess potential risks and challenges associated with generative AI projects, proactively addressing concerns related to ethics, privacy, and security

Work directly with Senior Leadership and technologists across the organization, providing strategic guidance, serving as a trusted advisor on all things AI, and drive cross-functional integration

Lead the development and execution of training programs to upskill team members and other stakeholders on AI/Generative AI.

Collaborate with industry thought-leaders and strategic partners to co-innovate

Proactively seek opportunities to expand adoption of GenAI across the organization, prioritizing new use cases and driving innovation, ensuring alignment with overall business objectives

Owns executive communication strategy to senior leaders, key stakeholders, mass audience, presenting at forums and high-level meetings to drive alignment, awareness, and support for AI initiatives.

Act as the primary point of contact for internal customers, seeking to understand both implicit and explicitly stated business needs, pain points, and goals related to generative AI adoption

Collaborate with internal customers to identify GenAI use cases; serve as a bridge by translating technical-speak to facilitate communication and understanding between business and technical teams.

Educate and evangelize generative AI capabilities to various internal stakeholders, showcasing potential use cases and business value

Foster a culture of innovation and experimentation within the team, encouraging team members to explore new ideas and approaches to leverage AI/ Generative AI safely.

Conduct market research and stay abreast of the latest generative AI tools, platforms, and best practices to provide informed recommendations to internal customers

10+ years of experience in product management, business analysis, or a similar role, with a proven track record of successful product commercialization.

Leadership experience, preferably in managing multi-disciplinary technical teams (including product management/strategy, technology, design, engineers, and analytics)

Experience with prompting techniques (text and visual)

Product management experience, with the ability to lead multiple initiatives simultaneously and manage competing priorities

Basic understanding of how to use Generative AI and AI suites (Google Vertex, Azure OpenAI) to write simple LLM applications.

Experience in conducting market research, gathering and analyzing business requirements, and creating product roadmaps

Familiarity with agile development methodologies and product management best practices

Ability to lead teams working in a fast paced, cross-functional environment with evolving priorities and deliverables.

Experience with adaptive leadership, enabling team resilience during periods of organizational ambiguity.

Strong understanding of generative AI concepts, techniques, and tools, with hands-on experience using popular platforms such as OpenAI, Azure OpenAI Copilot, DALL-E, Adobe Firefly, Runway, or similar

Required Education:

Bachelor’s degree and/or equivalent work experience in Advanced Data Management, Mathematics, or Statistical Analysis

Preferred Education:

Master’s degree and/or equivalent work experience