Senior Delivery Manager

We are building strong delivery governance for 19 digital products across three pods, ensuring predictable outcomes, alignment, and transparency. As the Senior Delivery Manager, you will own delivery health end-to-end, partnering with engineering, product, and infrastructure leaders to manage risks and keep cadence on track. Bring your multi-team delivery leadership and help us standardize execution.

Responsibilities

• Own sprint cadence across three parallel delivery pods and ensure consistent planning, reviews, and retrospectives
• Maintain the program risk register, escalate blockers early, and drive items through to closure
• Report delivery health using DORA metrics along with AI tooling ROI indicators
• Manage relationships with engineering, product, infrastructure, and account leadership
• Prepare and present recurring status updates, milestone reports, and risk summaries to senior stakeholders
• Coordinate contract and tooling approval decisions with account leadership
• Lead the full team onboarding program, including environment setup, codebase orientation, and ramp-up to full ownership
• Ensure readiness gates are met at each stage and prevent any business interruption
• Facilitate structured onboarding sessions with client engineering and product stakeholders
• Establish and maintain Agile delivery standards across all pods
• Remove impediments and enable pod leads to stay focused on technical delivery
• Drive continuous improvement based on retrospective outcomes and delivery metric trends

Requirements

• Proven track record of 5+ years leading complex, multi-team software delivery engagements
• Deep expertise in Agile delivery governance, sprint cadence oversight, and maintaining a risk register across multiple concurrent teams
• Strong stakeholder management skills across engineering, product, infrastructure, and account leadership
• Hands-on proficiency reporting delivery health via DORA metrics and milestone/status updates
• Demonstrated experience coordinating vendor transitions, including onboarding programs, environment setup, and readiness gate tracking
• Solid background facilitating onboarding sessions with client engineering and product stakeholders
• Familiarity with AI-assisted development tooling such as Claude Code, GitHub Copilot, Amazon Q, or Cursor, and understanding its impact on velocity and capacity planning
• Working understanding of AI productivity metrics, including token usage, acceptance rates, and time-to-merge improvements
• Capability to structure delivery governance for AI-augmented engineering teams