Engagement Manager, Professional Services, AWSI, Healthcare and Life Sciences

AWS Sales, Marketing, and Global Services (SMGS) is responsible for driving revenue, adoption, and growth from the largest and fastest growing small- and mid-market accounts to enterprise-level customers including public sector

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Engagement Manager to join our team at Amazon Web Services (AWS). In this role, 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 the world's leading HCLS organizations.

Your objective will be to deliver distinctive customer business outcomes and experience. In doing so, you will lead the implementation of AWS delivery innovations with customers, including re-designing software development processes to become AI-native end-to-end (“AI-DLC”). You will bring exceptional stakeholder orchestration and relationship-building skills, intrinsic problem-solving ability to proactively shape program direction, anticipate and mitigate risks, and actively manage interdependencies, and the backbone to influence customers and partners when program success demands it. This is an opportunity to shape the future of the industry directly through hands-on transformation leadership.

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using AWS services. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing and AI transformation initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

Key job responsibilities
- Build and nurture trusted executive relationships (VP+), delivering strategic counsel on program direction, health, risks, and trade-offs to inform executive decisions
- 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 simultaneously, aligning these stakeholders on priorities, timelines, and definitions of success, and escalating blockers where necessary for resolution
- Define and track measurable customer business outcomes (e.g., time-to-market acceleration) as the north star for program success, translating technical delivery progress into executive-ready value narratives that demonstrate ROI and inform strategic decisions
- Own the program financial health, including forecasting, revenue recognition, commercial management, change request negotiation, and scope management for fixed-price, milestone-based delivery constructs
- Influence human builder and agent builder teams effectively, establishing clear operating models and responsible AI guardrails as delivery increasingly incorporates AI-augmented development workflows and agentic automation
- Drive adoption of AI-DLC (AI-Driven Development Life Cycle) methodologies across delivery programs, adapting delivery models and team structures for accelerated scale and pace, establishing outcomes-based governance frameworks for AI-native builds, and steering multi-agent systems at scale to drive delivery productivity across the program
- Establish and enforce governance frameworks for agentic AI in delivery — including observability, cost controls, human-in-the-loop checkpoints, and compliance guardrails — ensuring AI-augmented workflows remain auditable, secure, and aligned with customer regulatory requirements 
- Proactively surface ideas on how ProServe and other AWS teams can innovate to help our customers achieve their goals at a faster pace and larger scale

About the team
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.

Inclusive Team Culture
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Mentorship and Career Growth
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Basic Qualifications

- Bachelor's degree or equivalent
- Bachelor's degree or equivalent, or 5+ years of solving problems with technology in the Healthcare/Life Sciences Industry experience
- Experience delivering results for large, cross-functional initiatives/projects, or 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)
- 5+ years of experience in technology transformation program management, with experience 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 Qualifications

- Experience managing executive customer relationships and key business stakeholders
- cloud certification like AWS Cloud Practitioner or AWS Solutions Architect - Associate
- Experience creating and implementing large-scale programs
- MBA, or 6+ years of working with Data & AI related technologies, including, but not limited to, AI/ML, GenAI, Analytics, Database, and/or Storage experience
- 3+ years of owning program strategy, end to end delivery, and communicating results to senior leadership experience
- Experience developing strategies that influence leadership decisions at the organizational level

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