A

Amazon

Sells products online and rents cloud computing

Principal Engagement Manager - Professional Services, AWS

Program ManagementConfirmed live in the last 24 hours
Full-timeNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of experience in technology transformation program management, including at least 5 years leading complex, multi-workstream delivery programs end-to-end, including governance, program delivery quality and velocity, and financial health; the programs must involve $10 million or more per year in professional services revenue.
  • At least 3 years of 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.
  • Demonstrated ability to adopt and champion emerging delivery methodologies and tooling that accelerate team productivity, including experience adapting governance frameworks for new technology-driven delivery models.

Responsibilities

  • Build and nurture trusted executive relationships at the vice president level and above, providing 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.
  • Coordinate customer lines of business, information technology, and partner teams, aligning stakeholders on priorities, timelines, and definitions of success, and escalate blockers for resolution.
  • Define and track measurable customer business outcomes, translating technical delivery progress into executive-ready value narratives that demonstrate return on investment and inform strategic decisions.
  • Own program financial health, including forecasting, revenue recognition, commercial management, change request negotiation, and scope management for fixed-price, milestone-based delivery.
  • Lead human builder and agent builder teams, establishing clear operating models and responsible artificial intelligence guardrails for AI-augmented development workflows and agentic automation.
  • Drive adoption of AI-Driven Development Life Cycle methodologies across delivery programs, adapting delivery models and team structures, establishing outcomes-based governance frameworks for AI-native builds, and steering multi-agent systems to improve program delivery productivity.
  • Establish and enforce governance frameworks for agentic artificial intelligence in delivery, including observability, cost controls, human-in-the-loop checkpoints, and compliance guardrails, ensuring AI-augmented workflows are auditable, secure, and aligned with customer regulatory requirements such as HIPAA and GxP.
  • Identify ways Professional Services and other AWS teams can innovate to help customers achieve their goals faster and at greater scale.

Desired Qualifications

  • AWS Certified Solutions Architect, GenAI Practitioner, Cloud Practitioner, or equivalent cloud program management certifications such as PMP, PgMP, or SAFe.
  • Experience managing large-scale programs with multiple delivery partners, including governance of partner-delivered workstreams.
  • Strong understanding of artificial intelligence/machine learning and data transformation programs, with sufficient technical acumen to engage with technical leads, ask probing questions, and make informed trade-off decisions.
  • Ability to serve as a trusted strategic advisor to vice president-level and more senior executives by delivering structured program narratives, proactively framing risks and trade-offs, and maintaining credibility through delivery challenges; demonstrated experience influencing executive decisions on scope, investment, and organizational change.
  • Experience building trusted relationships with senior customer executives to influence strategic and operational decisions and managing escalation paths across complex stakeholder landscapes.
  • Experience in software development and proficiency in AI-Driven Development Life Cycle or equivalent AI-accelerated development methodologies at the governance and program leadership level, including adapting estimation, milestone tracking, and quality assurance frameworks for AI-native delivery models.

About the Company

Amazon

Sells products online and rents cloud computing

Amazon runs the largest online store in the United States and rents cloud computing to businesses and governments through Amazon Web Services. AWS pioneered renting computing power over the internet, and Amazon built its own delivery network to get orders to customers quickly. Shoppers buy from Amazon and from independent sellers on its store, and Prime members pay a subscription for fast free shipping, streaming video and music, and other perks. AWS rents out computing power, storage, databases, and AI tools so companies can run software without owning servers, and Amazon also makes Kindle e-readers and Echo speakers with the Alexa assistant. Jeff Bezos founded Amazon in 1994, and it is based in Seattle, Washington.

Company size
10,001+
Company stage
IPO
Headquarters
Seattle, WA
Founded
1994

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