Senior Delivery Manager
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Job Description
Senior Delivery Manager leading complex AI and agentic delivery engagements at an applied AI engineering firm. Owning execution, client relationships, distributed teams, and AI delivery standards.
Responsibilities:
- Lead end-to-end delivery of complex, multi-phase engagements across scope, budget, timeline, and quality
- Facilitate sprint planning, backlog refinement, and delivery execution across cross-functional teams
- Manage phased releases, production readiness, and transitions into operations and maintenance
- Identify and manage dependencies, risks, scope changes, and escalations
- Define, track, and report delivery KPIs to guide decisions and tradeoffs
- Support QA and UAT and ensure outcomes meet acceptance criteria
- Use AI tools such as Claude for delivery planning, reporting, and stakeholder communications
- Implement the AI Development Life Cycle (AIDLC) across engagements
- Establish AI-augmented delivery processes and mentor delivery managers
- Evaluate observability, success metrics, monitoring, model risk, data readiness, and evaluation strategy for AI-driven work
- Define infrastructure standards for agentic delivery pipelines, including compute, orchestration, logging, and guardrails
- Translate technical uncertainty into delivery plans and client-facing risk registers
- Serve as the primary delivery contact for clients and lead stakeholder, roadmap, and delivery forums
- Communicate progress, risks, tradeoffs, ROI, milestones, and decisions to executive and non-technical audiences
- Partner with Client Partners to identify expansion opportunities and shape follow-on work
- Lead distributed onshore and offshore delivery teams
- Coach junior delivery managers and contribute to development plans
- Improve delivery practices, tools, and frameworks across engagements
- Assess team strengths and gaps, flag staffing needs and high-potential talent
- Conduct executive interviews and contribute to go/no-go hiring decisions
Requirements:
- 5+ years of experience in software delivery, technical project management, or engineering leadership
- Strong understanding of agile delivery practices across complex, multi-team engagements (e.g., Scrum, SAFe, Kanban)
- Experience managing distributed teams across onshore and offshore locations
- Proven ability to deliver complex, multi-platform digital systems in agile environments
- Strong client-facing communication and relationship management skills
- Experience with delivery tooling (e.g., Jira, Confluence, GitHub, Azure DevOps, CI/CD pipelines)
- Familiarity with cloud-native architectures and AI-enabled platforms
- Demonstrable usage of AI tools to enhance delivery planning, reporting, and documentation (e.g., Claude)
- Track record leading at least one engagement where AI/ML or agentic capability was core to the solution, including managing model risk, evaluation, and client expectations
- Ability to set delivery standards for AI-native work, including evaluation criteria, human-in-the-loop checkpoints, and monitoring, and coach other delivery managers
- Track record leading a team through an agentic development/delivery process, including observability, success metrics, and status visibility
- Comfortable setting standards for infrastructure, context management, and latency trade-offs in an agentic delivery pipeline
- PMP, Scrum Master, SAFe, or equivalent certification preferred
- Vertical depth in one or more of 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 leadership
Benefits:
- Paid time off
- Medical insurance
- Dental insurance
- Vision insurance
- 401(k) for eligible employees
- Background check conducted in accordance with local legislation
- Equal employment opportunities
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