AmazonPosted 1mo ago

Senior Engagement Manager, Professional Services, AWSI HCLS, Professional Services, AWSI HCLS

Senior Engagement Manager, Professional Services, AWSI HCLS, Professional Services, AWSI HCLS at Amazon scores 10 out of 100 on AI centrality, which makes it AI Level 1 of 4 (Little AI) on this board. The level measures how much of the work is AI, not seniority.

CH, Genevaseniorfull-time

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The Amazon Web Services Professional Services (ProServe) team is seeking a Senior Engagement Manager to lead the delivery of our largest and most complex Healthcare and Life Sciences (HCLS) transformation programs. 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.

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 (e.g., HIPAA, GxP)

- 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

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About the team
ABOUT AWS:
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.

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Basic qualifications

- Bachelor's degree in STEM field
- 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
- Experience in the healthcare and/or life sciences industry
- Experience with fixed-price, milestone-based delivery models where scope management, risk mitigation, and financial discipline are critical to program success
- Experience in adopting and championing emerging delivery methodologies and tooling that accelerate team productivity, including experience adapting governance frameworks for new technology-driven delivery models

Preferred qualifications

- AWS Certified Solutions Architect, GenAI Practitioner, and/or Cloud Practitioner, or equivalent cloud program management certifications (PMP, PgMP, SAFe)
- Experience managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams
- Experience with AI/ML and data transformation programs, sufficient technical acumen to engage credibly with technical leads, ask probing questions, and make informed trade-off decisions
- Experience serving as a trusted strategic advisor to VP+ executives — delivering structured program narratives, proactively framing risks and trade-offs, and maintaining credibility through delivery challenges
- Experience influencing executive decisions on scope, investment, and organizational change
- Experience building trusted relationships with senior customer executives (VP+) to influence strategic and operational decisions and managing escalation paths across complex stakeholder landscapes
- Experience in software development and proficiency in AI-DLC or equivalent AI-accelerated development methodologies at the governance and program leadership level, including experience adapting estimation, milestone tracking, and quality assurance frameworks for AI-native delivery models

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.