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Senior Delivery Manager

Remote in Argentina, & 4 others
Delivery Management, Delivery Management.AI
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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