Senior Manager - Digital Product Management

Create the World's Best Digital Colleague Experience
The Digital Workplace Product Group within the Technology organization at American Express is responsible for delivering secure, scalable, and modern collaboration capabilities to colleagues across the enterprise.
We are seeking a Senior Product Manager with experience managing third-party SaaS products within large enterprises to lead the strategy, governance, adoption, and lifecycle management of collaboration, design, and productivity platforms. Preferred candidates will have experience with tools such as Mural, Figma, or AI tools such as Copilot.
This role is ideal for a product leader who is equally comfortable shaping product vision and strategy as they are working through technical architecture, vendor capabilities, security requirements, and operational processes. You will be responsible for defining the product roadmap, evaluating new capabilities, managing strategic vendor relationships, driving enterprise adoption, and maintaining the standards, controls, and documentation required to operate SaaS products at scale.
The ideal candidate brings a strong blend of product management, technical knowledge, vendor management, and cross-functional leadership. They will have experience delivering secure, governed, and high-impact products in a highly regulated environment and will understand the opportunities and risks associated with AI-enabled SaaS capabilities.
Required Qualifications
7+ years of experience in Product Management, Technical Product Management, Enterprise Technology, or a related discipline.
Demonstrated experience managing third-party SaaS products within a large enterprise.
Experience managing products across their lifecycle, including evaluation, implementation, adoption, optimization, renewal, and retirement.
Strong technical acumen and the ability to work effectively with engineering, architecture, cybersecurity, identity, and operations teams.
Working knowledge of:
SaaS and cloud architecture
APIs and enterprise integrations
Identity and access management
Authentication and authorization
Data architecture and data flows
Logging, monitoring, and auditability
Platform administration and lifecycle management
Understanding of generative AI and the opportunities and risks associated with AI-enabled enterprise products.
Experience operating within a highly regulated environment, preferably financial services, banking, payments, insurance, healthcare, or a similarly regulated industry.
Experience working cross-functionally with engineering, security, privacy, legal, compliance, procurement, risk, and business stakeholders.
Proven experience developing product strategies, roadmaps, requirements, prioritization frameworks, operating models, and success metrics.
Strong analytical, communication, organizational, and stakeholder-management skills.
Demonstrated ability to influence senior leaders and lead complex initiatives across organizational boundaries.
Preferred Qualifications
Experience with:
Enterprise collaboration, design, whiteboarding, or productivity platforms such as Mural, Figma, or Microsoft Enterprise products.
SaaS products that support collaborative workflows across product management, design, engineering, technology, and business teams.
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
Define and own the product vision, roadmap, and success metrics for assigned enterprise SaaS products.
Understand colleague and business needs and translate them into scalable product capabilities and implementation plans.
Evaluate and prioritize new product features, integrations, and investment opportunities.
Align roadmap decisions with enterprise priorities, user needs, technical dependencies, compliance requirements, and platform constraints.
Develop business cases and executive recommendations for new products, capabilities, and strategic investments.
Establish measurable outcomes across adoption, engagement, user experience, reliability, operational efficiency, and business value.
Technical Product Leadership
Work closely with engineering, architecture, identity, cybersecurity, infrastructure, and operations teams to support product design and implementation.
Translate business and colleague needs into clear product and technical requirements.
Understand SaaS architecture and enterprise deployment considerations, including:
APIs and system integrations
Identity and access management
Authentication and authorization
Data flows and data residency
Logging, monitoring, and auditability
Platform administration and configuration
Application lifecycle and environment management
Participate in technical and architecture discussions and translate technical constraints into product and business implications.
Understand how third-party SaaS products interact with enterprise systems, data sources, identity services, and security controls.
Evaluate product performance, usability, reliability, scalability, accessibility, and operational readiness.
AI & Emerging Technology
Evaluate AI-enabled capabilities introduced by SaaS vendors, including generative AI, skills, agents, connectors, content generation, and workflow automation.
Assess AI capabilities based on business value, colleague experience, technical feasibility, data access, security, privacy, and regulatory considerations.
Understand core generative AI concepts, including:
Large language models
Prompt design and evaluation
Grounding and knowledge retrieval
Model limitations and accuracy
Data protection and access controls
Responsible AI and human oversight
Develop structured pilots for emerging capabilities, including hypotheses, use cases, test scenarios, success measures, guardrails, and readiness criteria.
Partner with AI, Engineering, Information Security, Privacy, Legal, Compliance, and Risk teams to determine whether AI capabilities are appropriate for enterprise deployment.
Monitor developments across the SaaS and AI landscape and translate relevant trends into actionable product opportunities.