Senior Manager - Digital Product Management

American Express•Atlanta, GA

1d•$123,000 - $215,250

About The Position

The Digital Workplace Product Group within American Express’s Technology organization delivers secure, scalable, and modern collaboration capabilities to colleagues across the enterprise. The Senior Manager will lead the strategy, governance, adoption, and lifecycle management of third-party SaaS collaboration, design, and productivity platforms. The role combines product vision and roadmap ownership with technical architecture, vendor capabilities, security requirements, and operational processes. The product leader will define roadmaps, evaluate new capabilities, manage strategic vendor relationships, drive enterprise adoption, and maintain the standards, controls, and documentation needed to operate SaaS products at scale. The position requires delivering secure, governed, high-impact products in a highly regulated environment and understanding both the opportunities and risks of AI-enabled SaaS capabilities. The role also evaluates emerging vendor AI capabilities, develops structured pilots, and partners with AI, engineering, security, privacy, legal, compliance, and risk teams to assess enterprise readiness and suitability.

Requirements

7 or more 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 throughout their lifecycle, including evaluation, implementation, adoption, optimization, renewal, and retirement.
Strong technical acumen and 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; and platform administration and lifecycle management.
Understanding of generative AI and the opportunities and risks associated with AI-enabled enterprise products.
Experience operating in 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.
Experience developing product strategies, roadmaps, requirements, prioritization frameworks, operating models, and success metrics.
Strong analytical, communication, organizational, and stakeholder-management skills.
Ability to influence senior leaders and lead complex initiatives across organizational boundaries.
Eligibility to work with American Express in the United States; the company will not pursue visa sponsorship for these positions.

Nice To Haves

Experience with enterprise collaboration, design, whiteboarding, or productivity platforms such as Mural, Figma, or Microsoft Enterprise products.
Experience with SaaS products that support collaborative workflows across product management, design, engineering, technology, and business teams.

Responsibilities

Define and own product vision, roadmaps, and success metrics for assigned enterprise SaaS products.
Translate colleague and business needs into scalable product capabilities and implementation plans.
Evaluate and prioritize product features, integrations, and investment opportunities in alignment with enterprise priorities, user needs, technical dependencies, compliance requirements, and platform constraints.
Develop business cases and executive recommendations for products, capabilities, and strategic investments.
Establish measurable outcomes for adoption, engagement, user experience, reliability, operational efficiency, and business value.
Work with engineering, architecture, identity, cybersecurity, infrastructure, and operations teams on product design and implementation.
Translate business and colleague needs into product and technical requirements and explain technical constraints in terms of product and business implications.
Assess SaaS architecture and enterprise deployment considerations, including APIs and integrations, identity and access management, authentication and authorization, data flows and residency, logging, monitoring, auditability, administration, configuration, and application lifecycle and environment management.
Evaluate product performance, usability, reliability, scalability, accessibility, and operational readiness.
Evaluate vendor AI capabilities, including generative AI, skills, agents, connectors, content generation, and workflow automation, for business value, colleague experience, feasibility, data access, security, privacy, and regulatory considerations.
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 SaaS and AI developments and translate relevant trends into product opportunities.