Data & AI Lead Senior Manager
Accenture Federal Services
| Company | Accenture Federal Services |
| Category | Data & Analytics |
| Location | Washington |
| Remote | On-site (inferred) |
| Employment | Not stated |
| Level | Manager |
| Salary | Not stated by the employer |
| Posted | 28 Jul 2026 |
| Last verified | 9 Aug 2026 |
| Source | Employer ATS (greenhouse) |
Description
At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. 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!
You Are:
We are seeking an experienced and dynamic Data & AI Lead to oversee the data and AI practice at a federal client account. The ideal candidate will oversee a matrixed organization of approximately 60 professionals, including data analysts, data engineers, data scientists, AI developers, and cloud platform engineers, delivering innovative solutions across diverse projects. In this role, you will be responsible for building, managing, and scaling the team, with a strong focus on recruitment, staffing, and the continuous training and upskilling of team members. You will also drive the identification and adoption of cutting-edge data platform technologies and tools to meet client needs and objectives. As part of your responsibilities, you will provide strategic oversight and guidance to a team of 12 data specialists delivering solutions on the Databricks platform. Additionally, you will oversee the management of the AI Innovation pipeline, ensuring the development and deployment of AI-driven solutions that align with the client’s objectives.
This is a unique opportunity to lead a cutting-edge data and AI practice, driving innovation and delivering impactful solutions for the federal government. If you are a visionary leader with a passion for leveraging data and AI to transform organizations, we invite you to apply.
The Work:
Lead a matrixed organization of 60+ data analysts, data engineers, data scientists, AI developers, and cloud platform engineers
Oversee team staffing, recruitment, and professional development, ensuring team members are trained and upskilled in emerging technologies and methodologies
Identify and recommend innovative data integration approaches, platform technologies, and tools to support the client's evolving needs
Manage and maintain the AI Innovation pipeline, driving the development of forward-thinking AI solutions.
Provide strategic oversight to a team of 12 data specialists delivering solutions on the Databricks platform
Collaborate closely with client stakeholders to align data and AI initiatives with organizational goals
Here's What You Need:
Proven experience in leading large data and AI teams, preferably in a client-facing environment
Deep expertise in data integration approaches and strong knowledge of emerging data platform technologies and AI advancements
Application of data modeling or LLMs to address client specific problems or expected outcomes
Hands-on experience with data modeling
Extensive use of LLMs and other AI technology and tooling
Experience with Databricks and proven ability to oversee platform delivery teams
Excellent leadership, communication, and stakeholder management skills
Ability to develop and execute strategies for talent acquisition, training, and upskilling
Bonus Points If:
Advanced Degree
15+ years of industry experience
Motivated and proactive, with a desire to understand and address complex areas
Curiosity for learning about new technology, industry best practices, and areas of risk, analyzing and turning new insights into concrete action
Commitment to d