Engagement Manager
Amazon Web Services (AWS)
About the Role
Amazon Web Services (AWS) Professional Services (ProServe) is seeking a skilled Engagement Manager to join our team. You will lead delivery quality and velocity for programs spanning several concurrent workstreams, orchestrating 50+ person teams of AWS builders, partners, and customers to deliver transformational AI, data, and enterprise modernization outcomes for leading Healthcare and Life Sciences (HCLS) organizations.
Key Responsibilities
- Build and nurture trusted executive relationships (VP+), delivering strategic counsel on program direction, health, risks, and trade-offs.
- Proactively manage interdependencies, mitigate risks, and drive accountability for program outcomes in ambiguous, fast-changing environments.
- Orchestrate across customer lines of business, IT, and partner teams, aligning stakeholders on priorities, timelines, and definitions of success.
- Define and track measurable customer business outcomes (e.g., time-to-market acceleration) as the north star for program success.
- Translate technical delivery progress into executive-ready value narratives demonstrating ROI and informing strategic decisions.
- Own program financial health, including forecasting, revenue recognition, commercial management, change request negotiation, and scope management.
- Influence human builder and agent builder teams, establishing clear operating models and responsible AI guardrails.
- Drive adoption of AI-DLC (AI-Driven Development Life Cycle) methodologies across delivery programs.
- Establish and enforce governance frameworks for agentic AI in delivery, including observability, cost controls, human-in-the-loop checkpoints, and compliance guardrails.
- Proactively surface ideas on how ProServe and other AWS teams can innovate to help customers achieve goals at a faster pace and larger scale.
Requirements & Tech Stack
- Experience delivering results for large, cross-functional initiatives/projects.
- Experience solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations.
- 5+ years of experience in technology transformation program management, leading complex, multi-workstream delivery programs ($5M+/year in professional services revenue) end-to-end.
- Experience in adopting and championing emerging delivery methodologies and tooling that accelerate team productivity.
- Experience adapting governance frameworks for new technology-driven delivery models.
- Experience in software development.
- Proficiency in AI-DLC or equivalent AI-accelerated development methodologies at the governance and program leadership level.
- Experience adapting estimation, milestone tracking, and quality assurance frameworks for AI-native delivery models.
Qualifications
- Bachelor's degree or equivalent.
- 2+ years of solving problems with technology in the Healthcare/Life Sciences Industry.
- Experience in solving complex business challenges by delivering accurate and timely financial models, analysis, and recommendations that have a proven impact on business (e.g., financial savings, operational improvements, or customer benefits).
- Experience in leading complex, multi-workstream delivery programs ($5M+/year in professional services revenue) end-to-end, including governance, program delivery quality and velocity, and financial health.
- Preferred: Cloud certification like AWS Cloud Practitioner or AWS Solutions Architect - Associate.
- Preferred: Experience creating and implementing large-scale programs.
- Preferred: MBA, or 3+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience.
- Preferred: Experience owning program strategy, end-to-end delivery, and communicating results to senior leadership.
- Preferred: Experience in advising and influencing executive leadership.
- Preferred: Experience building trusted relationships with senior customer executives (VP+) to influence strategic and operational decisions and managing escalation paths.

