Senior AI Lead
BRG
full-time
Posted on:
Location Type: Office
Location: Boston • District of Columbia, Massachusetts, New York • 🇺🇸 United States
Visit company websiteSalary
💰 $100,000 - $230,000 per year
Job Level
Senior
Tech Stack
AWSAzureCloudGoogle Cloud Platform
About the role
- Define and execute BRG’s firmwide technical strategy for Data & AI Infrastructure in partnership with the AI & Technology leadership.
- Lead the design and deployment of a scalable, secure, and compliant data and AI platform that serves as the backbone for all internal and client-facing AI initiatives.
- Develop and maintain a multi-year roadmap for AI tooling, infrastructure modernization, and enterprise enablement.
- Identify, evaluate, and establish key technology partnerships with leading AI vendors and cloud providers to accelerate innovation and delivery.
- Oversee enterprise deployment and adoption of AI desktop tooling, including Microsoft Copilot, GitHub Copilot, and other AI productivity platforms.
- Collaborate with firm leaders to drive AI literacy, adoption, and responsible use across practices.
- Build, mentor, and lead a high-performing technical team spanning data engineering, MLOps, cloud architecture, and AI product development.
- Foster a culture of innovation, collaboration, and technical excellence within the Data & AI function.
- Establish and govern standards for data quality, model lifecycle management, and AI compliance in alignment with firm and client requirements.
- Oversee the integration of AI and data services into client delivery processes, ensuring scalability, performance, and security.
- Represent BRG’s Data & AI capabilities externally through strategic partnerships, industry forums, and thought leadership.
- Contribute to the firm’s innovation strategy by identifying emerging AI trends, tools, and approaches that can differentiate BRG in the marketplace.
Requirements
- Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, or related field; MBA or advanced technical degree preferred.
- 8-10 years of progressive experience in technology leadership, with at least 5 years focused on AI infrastructure, data platforms, or enterprise AI enablement.
- Proven experience leading large-scale technology initiatives and cross-functional teams within professional services or enterprise environments.
- Deep understanding of modern data architecture, cloud platforms (Azure, AWS, GCP), and AI/ML infrastructure.
- Demonstrated success in developing technical strategy, managing partnerships with major technology vendors, and deploying enterprise AI solutions.
- Excellent leadership, communication, and stakeholder management skills, with the ability to align technical execution to business strategy.
Benefits
- Health insurance
- 401(k) matching
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data architectureAI infrastructuredata platformsMLOpscloud architectureAI product developmenttechnical strategymodel lifecycle managementdata qualityenterprise AI solutions
Soft skills
leadershipcommunicationstakeholder managementcollaborationinnovationmentoringtechnical excellenceAI literacyresponsible usecross-functional team leadership
Certifications
Bachelor’s degreeMaster’s degreeMBAadvanced technical degree