Lead AI Delivery Manager — Federal

About the role

The Lead AI Delivery Manager on the DataRobot Federal Professional Services team is responsible for owning client engagement, technical delivery, and long-term relationship health across a portfolio of federal government customers. This role requires a blend of consulting instincts, delivery discipline, and relationship-building skills, backed by sufficient technical fluency to navigate federal AI/ML environments credibly.

Responsibilities

• Own the customer relationship end-to-end — serving as the primary point of contact and trusted advisor for executive, program, and technical stakeholders across your account portfolio.
• Lead technical project delivery with rigor — develop and manage detailed project plans, track milestones, surface and mitigate risks, and hold both internal teams and customer counterparts accountable to agreed commitments.
• Translate customer mission needs into DataRobot solutions — conducting discovery, identifying use cases with the highest ROI, and structuring engagements that deliver measurable outcomes.
• Drive account growth and retention — identify expansion opportunities, support renewal conversations, and partner with Sales to build a compelling business case for continued and expanded investment in DataRobot.
• Lead compliance with security requirements including ATO processes and IL5, IL6 and TS authorization timelines.
• Navigate federal procurement including agency-specific acquisition vehicles (e.g., JWCC, Tradewinds, GSA Schedule, OTA).
• Provide consultative architecture guidance — engaging federal IT and data teams on integration patterns, platform deployment approaches, and data pipeline design, while knowing when to bring in deeper technical specialists.
• Serve as the voice of the customer internally — synthesizing field learnings and customer feedback to inform Product, Engineering, and Sales priorities for the Federal market.
• Mentor and coordinate partner delivery resources — overseeing subcontractors and SI partners engaged on customer programs, ensuring quality and consistency of delivery.

Requirements

• 7+ years of professional services, management consulting, or technical advisory experience in federal or defense markets.
• PMP, PMI-ACP, CSM, ICAgile, or equivalent experience managing technology delivery programs in federal environments.
• Working familiarity with AI/ML methodology, lifecycle, and platforms, MLOps concepts, and the infrastructure considerations for deploying AI in federal environments.
• Active TS/SCI clearance required; CI Poly clearance preferred.
• Must be a U.S. citizen.
• Education: Bachelor’s in Computer Science, Engineering, Business, or a related field; advanced degree or MBA a plus.

Qualifications

• Outstanding written and oral communication skills.
• Delivery Ownership: PMP, PMI-ACP, CSM, ICAgile, or equivalent experience managing technology delivery programs in federal environments.
• Multi-Workstream Coordination: Experience managing concurrent delivery tracks involving internal DataRobot teams, government IT staff, systems integrators, and subcontractors.
• Risk & Issue Management: Maintaining a living risk register, distinguishing between issues that need immediate escalation and those that can be managed in-stream, and communicating status to leadership with clarity and appropriate urgency.
• Federal Program Familiarity: Comfortable operating within federal program management frameworks including Agile/SAFe and CDRL deliverable structures.
• Customer Relationship Management: Account Health Ownership: Monitoring leading indicators of account health (usage, satisfaction, engagement breadth) and intervening proactively when risk signals emerge.
• Expansion & Retention Mindset: Identifying new use cases, stakeholders, and funding streams that could deepen DataRobot’s footprint within existing accounts.
• Stakeholder Mapping & Navigation: Maintaining a detailed understanding of the decision-making landscape within your accounts — who the champions are, who the skeptics are, and how to build coalitions across program offices, budget holders, and CIO organizations.
• Technical Fluency (Federal AI/ML Context): Working familiarity with AI/ML methodologies, lifecycle, and platforms, MLOps concepts, and the infrastructure considerations for deploying AI in federal environments.
• Python Knowledge: Working knowledge of Python sufficient to engage in meaningful reviews of developer code.
• Federal Security & Compliance: Working knowledge of the ATO lifecycle, Risk Management Framework (RMF), FedRAMP authorization processes, and \IL5/IL6 deployment requirements for classified networks.
• Cloud & Integration Awareness: Sufficient familiarity with cloud platforms (AWS GovCloud, Azure Government) and common federal data architectures to guide scoping conversations and identify integration complexity early.
• Agentic AI Delivery: Demonstrated experience scoping and delivering agentic AI solutions in production — including multi-step agent workflows, tool-calling integrations, and human-in-the-loop oversight — ideally for federal or other regulated customers.

Benefits

Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more!

Pay

Competitive pay and benefits with employees' well-being at the core.

Schedule

Willingness to be on-site at client facilities (DC metro area) up to 90% during active delivery phases, with approximately 15% regional travel for executive engagements, program reviews, and conferences.