Digital Product Manager – AI & Collaboration

Digital Product Manager – AI & Collaboration Role Overview

We are seeking an experienced Digital Product Manager to lead the strategy, delivery, and adoption of AI-enabled workplace and collaboration technologies across the firm. This role sits within the Infrastructure organization and focuses on driving scalable, secure, and user-centric digital experiences through the Microsoft 365 ecosystem, including Microsoft Copilot.

The successful candidate will combine strong product ownership, applied AI experience, and change leadership to bridge engineering, security, vendors, and business stakeholders—ensuring collaboration tools are not only delivered, but widely adopted and value-generating in a regulated enterprise environment.

• Bachelor’s degree or equivalent experience.
• 3–5 years of experience as a Digital Product Manager, Product Owner, or equivalent role in a large enterprise environment.
• Hands‑on experience owning and delivering Microsoft 365 collaboration platforms (Teams, SharePoint, One Drive, Viva);
  Microsoft Copilot experience strongly preferred.
• At least 1 year of applied AI or GenAI product experience, ideally within enterprise productivity or collaboration tools.
• Strong understanding of SDLC execution, backlog management, and cross‑functional delivery in regulated environments.
• Proven experience leading organizational change, communications, and adoption initiatives at scale.

• Experience with Generative AI platforms such as Microsoft Copilot, ChatGPT Enterprise, Gemini, or similar.
• Familiarity with Responsible AI, AI governance, and data privacy frameworks.
• Prior experience in financial services or capital markets.
• Strong executive communication skills and comfort operating in senior‑stakeholder environments.

• Own the end‑to‑end product strategy and roadmap for workplace and collaboration technologies, with a strong focus on Microsoft 365 and Copilot capabilities.
• Lead product delivery and execution, including backlog management, prioritization, dependency tracking, and coordination with engineering, security, and vendor teams.
• Drive AI-enabled use cases within the Microsoft ecosystem, balancing innovation with governance, Responsible AI practices, and data privacy requirements.
• Establish and track metrics for adoption, performance, and ROI, translating insights into actionable recommendations for stakeholders and leadership.
• Lead enterprise change and adoption efforts, including communications, training, engagement campaigns, and stakeholder alignment to ensure sustained usage.
• Serve as a primary escalation point, providing clear status reporting, risk management, and resolution of complex issues across delivery and adoption efforts.