AWS Program Manager

Responsibilities

• Serve as the primary delivery lead for a 4‑person AWS engineering pod building core cloud platform capabilities for client.
• Partner directly with Core Engineering leaders, architects, and security to define technical scope, milestones, backlogs, and workstream alignment.
• Drive end‑to‑end execution of MAP-funded cloud modernization, including planning, prioritization, daily standups, risk/issue management, and stakeholder reporting.
• Coordinate intake and alignment across multiple consuming business units, ensuring deliverables meet the “multiplier” adoption goals required by AWS.
• Translate business and compliance needs into technical execution plans, engineering tasks, security controls, and platform patterns.
• Ensure engineering outputs meet bank‑grade standards for security, auditability, and regulatory compliance.
• Manage stakeholder communication between AWS, client Core Engineering, and downstream teams.
• Oversee SOW deliverables, validate progress, and ensure the team hits timelines tied to AWS funding.
• Provide hands-on architectural and engineering guidance when needed (not a pure PM role).
• Operate autonomously with minimal oversight, making decisions quickly and escalating only when required.

Required Experience

• 15+ years in IT engineering, cloud program leadership, or technical program management.
• Deep expertise in AWS architecture, including IAM, VPC, EC2, S3, KMS, Secrets Manager, CloudTrail/GuardDuty, and multi‑account governance.
• Proven experience delivering cloud platform capabilities used across multiple engineering teams.
• Strong understanding of IaC (CDK preferred), Terraform, CI/CD, and secure cloud automation.
• Demonstrated ability to lead highly senior engineers and operate in a fast‑moving, ambiguous environment.
• Experience running initiatives with strict regulatory, security, or audit requirements (finance or DoD ideal).
• Exceptional communication and stakeholder management skills; comfortable working with CTO‑level leadership.

Ideal Experience / Nice-to-Haves

• Experience with AWS CDK, reusable cloud constructs, platform blueprints, or multi-team enablement.
• AI/ML platform experience (SageMaker, inference endpoints, MLOps).
• Prior work inside highly regulated environments (banking, trading, DoD, healthcare).
• Hands-on engineering background (architect, SRE, DevOps lead).