Senior Delivery Manager
We are seeking a Senior Delivery Manager to join a fast-growing AI Practice whose 2027 portfolio spans long-term enterprise clients and new accounts, with work ranging from agentic and multi-agent systems to data and AI platforms and Physical AI. In this role, you will work between sales, architects, engineering and client leadership, leading the delivery side of high-value pursuits from the first estimate to a signed SOW, then running the won projects end to end and standing in for practice leadership in governance.
Essential functions
Pursuit Delivery Leadership: Lead the delivery side of high-value pursuits from intake to signed SOW, shaping scope and the engagement model, building estimates and team plans, and flagging feasibility and delivery risks early, knowing you will deliver what you sign.
Pursuit Intake & Seed Teams: Run the internal intake for each new high-value pursuit and agree the seed team (architect, tech lead, DM) with the engineering and staffing leads.
End-to-End Project Ownership: Lead won projects as DM from discovery and start-up to completion, owning the plan, scope and change control, risks, budget and margin, the team and the client relationship until the project closes.
Practice Governance: Represent the practice at kick-offs, internal discovery and architecture reviews, steering committees and phase-gate risk reviews.
Delivery Standards: Contribute to the practice’s delivery standards for AI and data projects, building and improving how the practice works rather than just following its processes.
Qualifications
8+ years in delivery management, including leading several data, ML or LLM-based projects end to end and being accountable for more than one project or workstream at a time.
Presales Delivery: Experience shaping scope, delivery approach, estimates and team plans for proposals and SOWs together with sales and architects, and defending them with the client.
Fixed-Price Engagements: Track record running fixed-price or deliverable-based engagements, including discovery phases, change control, delivery risk and margin.
AI & Data Fluency: Ability to hold a working conversation with architects about RAG, agentic systems, model evaluation and data pipelines, and to explain the trade-offs and risks to business stakeholders.
Executive Governance: Experience running steering committees and handling escalations with client directors and VPs.
Distributed Team Leadership: Experience leading teams across time zones, including staffing new teams and coaching other managers.
Delivery Standards Adoption: Has introduced a delivery standard across several projects or teams (estimation guidelines, phase-gate checklists or a delivery playbook), got managers to adopt it, and used project data to show where it worked.
Would be a plus
AI-Assisted Engineering: Hands-on use of AI-enabled SDLC practices in delivery, such as agentic coding.
Data Platform Delivery: Experience delivering large data platform migration or modernisation projects on cloud data platforms such as Databricks or Snowflake.
Physical AI Domains: Projects in industrial, robotics or simulation settings.
Practice-Level Experience: A prior portfolio or practice role covering delivery governance, cross-project risk management or coaching a pool of DMs.
We offer
- Opportunity to work on bleeding-edge projects
- Work with a highly motivated and dedicated team
- Competitive salary
- Flexible schedule
- Benefits package - medical insurance, sports
- Corporate social events
- Professional development opportunities
- Well-equipped office
About us
Grid Dynamics (NASDAQ: GDYN) is a leading provider of technology consulting, platform and product engineering, AI, and advanced analytics services. Fusing technical vision with business acumen, we solve the most pressing technical challenges and enable positive business outcomes for enterprise companies undergoing business transformation. A key differentiator for Grid Dynamics is our 8 years of experience and leadership in enterprise AI, supported by profound expertise and ongoing investment in data, analytics, cloud & DevOps, application modernization and customer experience. Founded in 2006, Grid Dynamics is headquartered in Silicon Valley with offices across the Americas, Europe, and India.Apply to the position
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