Senior Engagement Manager, Professional Services, AWSI HCLS

About the team

AWS is committed to diversity and inclusion. We welcome candidates from various backgrounds and experiences. Why AWS? Our cloud platform is the most comprehensive and broadly adopted in the market. We prioritize work-life balance and foster an inclusive team culture. We offer mentorship, career growth opportunities, and continuous learning resources.

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

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