AI Infrastructure​/NVIDIA Alliance Lead, Managing Director

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Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations.

Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more.

Join us to drive positive, lasting change that moves missions and the government forward!

An accomplished technology and business leader who connects mission needs with AI capabilities and the infrastructure required to operationalize them. You bring technical depth in hybrid cloud, high-performance computing, and GPU-accelerated environments, along with a proven ability to build executive relationships, win complex opportunities, and guide successful delivery.

You can engage senior government leaders on AI strategy, partner with NVIDIA on joint offerings, and challenge engineering teams on architecture and execution. You know how to turn emerging technology into differentiated solutions, sustainable growth, and measurable mission outcomes.

• Develop and execute a growth strategy for AI infrastructure and enabled solutions across federal markets, with an emphasis on Defense and Intelligence.
• Build and convert a pipeline spanning infrastructure modernization, accelerated computing, generative AI, agentic workflows, and secure inference.
• Partner with portfolio leaders, account teams, and technology executives to translate client priorities into differentiated offerings and actionable pursuit strategies.
• Lead executive client engagements, solution positioning, and technical win strategies for major opportunities, including SUNet 2.0, HITS-U, and JTSO JEDAI.
• Own agreed growth and revenue targets while positioning AFS as a trusted partner for enterprise AI adoption.

• Serve as the AFS executive alliance lead for NVIDIA, setting partnership strategy and leading joint business planning, executive engagement, and go-to-market execution.
• Work with NVIDIA and the broader Accenture ecosystem to develop joint offerings, identify co-investment opportunities, and expand adoption of NVIDIA-enabled solutions across federal accounts.
• Build a pipeline connecting NVIDIA accelerated computing and AI capabilities with AFS mission expertise, engineering capabilities, and delivery experience.
• Align partner resources, technical enablement, and market development activities to priority pursuits and client programs.
• Represent AFS in partner forums, executive briefings, and industry engagements.

• Set the technical direction for secure AI infrastructure across hybrid cloud, on-premises, and high-performance computing environments.
• Guide architectures supporting the full AI lifecycle, from onboarding tools and datasets through distributed training, model evaluation, deployment, and inference.
• Shape GPU-accelerated environments that meet mission requirements for performance, scalability, resilience, and cost efficiency.
• Ensure solutions address classified operations, cross-domain requirements, zero-trust principles, data governance, and applicable security and compliance requirements.
• Partner with engineering and technology leaders to incubate reusable architectures and offerings that accelerate AI adoption and deployment.

• Provide executive oversight and technical guidance for major AI infrastructure programs, maintaining accountability for client outcomes, delivery quality, and financial performance.
• Guide teams through architecture decisions, environment modernization, operating model transitions, and operational readiness.
• Help resolve complex technical and delivery challenges affecting the security, performance, and reliability of AI environments.
• Build and mentor multidisciplinary teams across infrastructure engineering, AI/ML, cloud architecture, and solution development.
• Advance repeatable delivery approaches and workforce capabilities that support growth across the practice.