Manager-Digital Product Management
Full Job Posting
Required Qualifications
- 5+ years of experience in Product Management, Technical Product Management, Enterprise Technology, or a related discipline.
- Demonstrated experience owning enterprise digital, productivity, collaboration, SaaS, or AI products.
- Deep knowledge of Microsoft 365 and the Microsoft productivity ecosystem.
- Strong understanding of Microsoft 365 applications and colleague workflows across tools such as Teams, Outlook, Word, Excel, PowerPoint, OneDrive, and SharePoint.
- Strong knowledge of Microsoft Copilot and AI-powered productivity experiences.
- Strong understanding of generative AI concepts, including LLMs, grounding, prompting, agents, skills, plugins, model limitations, and responsible AI.
- Technical fluency and demonstrated ability to engage effectively with engineering, architecture, cybersecurity, identity, and data teams.
- Experience defining product strategies, roadmaps, requirements, prioritization frameworks, KPIs, and success measures.
- Strong executive communication, analytical, organizational, and stakeholder-management skills.
Preferred Qualifications
- Experience with:
- Emerging Microsoft Copilot experiences, including Cowork, Scout/Autopilot, Code, or comparable agentic AI capabilities.
- Managing enterprise Microsoft 365 products, including Teams, Outlook, Word, Excel, PowerPoint, OneDrive, and SharePoint.
- Microsoft AI and productivity product roadmaps and release-management practices.
- Enterprise AI assistants, agents, AI-powered search, and agentic workflows.
- Microsoft Graph and integration concepts.
- Enterprise identity, permissions, information protection, data loss prevention, retention, and access controls within the Microsoft ecosystem.
- AI evaluation, experimentation, testing, and measurement.
- Responsible AI, AI governance, data governance, and enterprise risk-management frameworks.
- Employment eligibility to work with American Express in the United States is required as the company will not pursue visa sponsorship for these positions.
Key Responsibilities
- Product Strategy & Roadmap
- Support the product vision, roadmap, and success metrics for Microsoft AI-powered productivity experiences.
- Align roadmap decisions with colleague needs, enterprise priorities, technical dependencies, platform strategy, security requirements, and regulatory considerations.
- Evaluate new Copilot capabilities, releases, and roadmap developments to determine enterprise applicability, readiness, dependencies, risks, and potential value.
- Understand how different Copilot experiences intersect and develop a coherent product strategy across them.
- Microsoft 365 Ecosystem Expertise
- Maintain deep product knowledge of the Microsoft 365 productivity ecosystem and how AI capabilities integrate across it.
- Understand the colleague experience across applications and services such as Teams, Outlook, Word, Excel, PowerPoint, OneDrive, SharePoint, and other Microsoft productivity experiences.
- Identify opportunities to create connected employee experiences across Microsoft 365 rather than treating individual applications as isolated products.
- Understand dependencies between Copilot capabilities and the broader Microsoft 365 ecosystem, including identity, data, search, collaboration, and information architecture.
- Work with product teams responsible for adjacent Microsoft capabilities to create a cohesive colleague experience.
- Monitor changes across Microsoft's product portfolio and proactively assess their implications for product strategy and colleague experience.
- AI & Technical Product Leadership
- Maintain a strong understanding of generative AI concepts and how they apply to enterprise productivity experiences.
- Understand key concepts including:
- Large language models
- Prompting and context
- Grounding and enterprise knowledge retrieval
- AI agents and agentic experiences
- AI-powered search and discovery
- Orchestration and workflow automation
- Model limitations and accuracy
- Data access and permissions
- Responsible AI and human oversight
- Partner effectively with engineering, architecture, identity, data, cybersecurity, and Microsoft technical teams.
- Understand how Microsoft Copilot experiences interact with enterprise identity, permissions, information, applications, and organizational data.
- Translate technical architecture, dependencies, platform limitations, and security considerations into product implications and decisions.
- Evaluate product quality, reliability, usability, performance, and enterprise readiness.
- Product Governance & Enterprise Readiness
- Develop structured approaches for evaluating new Microsoft AI capabilities before enterprise deployment.
- Define product readiness criteria that address colleague value, functionality, technical readiness, security, privacy, compliance, accessibility, supportability, and operational readiness.
- Partner closely with Information Security, Privacy, Legal, Compliance, Risk, Architecture, and other control functions.
- Ensure product strategies and deployment decisions align with enterprise policies, responsible AI principles, and regulatory expectations.
- Identify product risks, dependencies, control considerations, and potential unintended consequences associated with new AI capabilities.
- Develop clear recommendations regarding whether capabilities should be piloted, broadly deployed, restricted, deferred, or require additional controls.
- Maintain product artifacts and decision documentation necessary to support governance and enterprise lifecycle management.
About American Express
Global financial services company offering payment and travel products.
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