Delivery Manager leading cross-functional delivery of production-ready AI systems for enterprise clients. Coordinating distributed teams, releases, agile execution, and client stakeholder relationships.
Responsibilities
Lead end-to-end delivery of cross-functional projects, ensuring alignment across scope, budget, timeline, and quality
Facilitate sprint planning, backlog refinement, and delivery execution across one or more cross-functional teams
Manage releases, production readiness, and transitions into operations and maintenance models
Identify and proactively manage dependencies, risks, scope changes, and escalations
Define, track, and report delivery KPIs to guide decisions and delivery tradeoffs
Support QA and UAT efforts and ensure outcomes meet agreed acceptance criteria
Use AI tools such as Claude for delivery planning, reporting, and stakeholder communications
Serve as the primary delivery contact for clients and build trusted relationships
Lead stakeholder working sessions and delivery forums
Communicate progress, risks, and tradeoffs to executive and non-technical audiences
Support Senior Delivery Managers and Client Partners in identifying opportunities to expand engagement value
Lead delivery teams across onshore and offshore locations
Mentor delivery coordinators and project team members
Foster transparency, continuous improvement, and high performance across engagements
Improve delivery practices, tools, and frameworks across engagements
Participate in project-team interviews and contribute to hiring decisions
Requirements
3+ years of experience in software delivery, technical project management, or engineering leadership
Strong understanding of agile delivery practices, such as Scrum and Kanban
Experience managing distributed teams across onshore and offshore locations
Ability to deliver multi-platform digital systems in agile environments
Strong client-facing communication and relationship management skills
Experience with delivery tooling such as Jira, Confluence, GitHub, Azure DevOps, and CI/CD pipelines
Familiarity with cloud-native architectures and AI-enabled platforms
Demonstrable usage of AI tools to enhance delivery planning, reporting, and documentation, such as Claude
Scrum Master or equivalent certification preferred
Experience in regulated environments is a plus
Vertical depth in Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, or Manufacturing
Experience delivering agentic, AI co-worker, or applied-AI initiatives in enterprise
Prior career experience in client-facing roles such as engagement management, consulting, or account management
Regular travel
Successful completion of a background check may be required
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