About The Position

The VP, AI Strategy and Client Engagement serves as a trusted advisor to clients, helping them understand, adopt, and realize value from Fidelity’s AI capabilities. The role sits at the intersection of product management, AI innovation, client consulting, and business strategy. The successful candidate translates complex AI capabilities into clear business outcomes, communicates Fidelity’s AI vision and roadmap, gathers client feedback and market insights, and partners with Product, Engineering, Client Engagement, and business teams to ensure client needs influence the evolution of AI solutions. The role represents Fidelity’s AI strategy and solutions to clients and strategic partners, supports client onboarding and adoption, and addresses questions about AI governance, security, privacy, compliance, and responsible AI practices. It also develops business cases, product positioning, adoption strategies, go-to-market approaches, and executive-level content, while collaborating across AI product, engineering, architecture, legal, compliance, risk, and security teams. The position requires approximately 30% travel. Fidelity is transitioning toward a full-time onsite working model through a phased regional and role-based rollout; current onsite expectations vary and may evolve. The transition does not apply to fully remote roles. Fidelity will not provide immigration sponsorship for this position.

Requirements

  • 10+ years of experience in product management, strategy, consulting, client engagement, or technology leadership.
  • Demonstrated experience communicating complex technology solutions to executive audiences.
  • Strong understanding of AI, machine learning, generative AI, and digital transformation trends, as well as risk, privacy, and regulatory considerations.
  • Experience influencing cross-functional teams and driving strategic initiatives, including launching or managing AI-enabled products.
  • Exceptional written, verbal, and presentation skills.
  • Ability to translate technical concepts into business-focused discussions.
  • Proven ability to build credibility with senior executives and strategic clients.
  • Ability to travel approximately 30%.

Nice To Haves

  • Bachelor’s degree in Business, Financial Services, Technology, Computer Science, Engineering, or a related field is preferred.

Responsibilities

  • Serve as a primary client-facing representative for Fidelity’s AI strategy and solutions, translating complex AI concepts into practical business outcomes and client value propositions and articulating the governance approach and product roadmap.
  • Lead strategic discussions with client executives, consultants, and industry partners about AI trends, opportunities, risks, and business transformation.
  • Gather client feedback, emerging challenges, market intelligence, and competitive insights to influence AI product strategy and prioritize client solutions.
  • Build trusted relationships with senior client stakeholders and strategic partners, serving as the voice of the client within Fidelity’s AI organization.
  • Support client onboarding and adoption of AI-enabled capabilities, including workshops, strategy sessions, and executive reviews focused on AI transformation opportunities.
  • Address client questions regarding AI governance, security, privacy, compliance, and responsible AI practices.
  • Develop business cases and value narratives demonstrating measurable outcomes from AI investments.
  • Help define product positioning, adoption strategies, and go-to-market approaches for AI solutions.
  • Develop executive-level presentations, white papers, and client-facing content related to AI strategy.
  • Contribute to industry discussions about AI governance, risk management, and client value creation.
  • Collaborate with AI product teams and engineering, architecture, legal, compliance, risk, and security partners to incorporate client perspectives into product planning and strategic decisions while meeting Fidelity standards and practices.
  • Coordinate communication between internal AI teams and external stakeholders.
  • Support executive leadership with client insights, industry trends, and strategic recommendations.
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