AI/ML Program Manager

Duties, Responsibilities & Other

• Serve as the primary advisor to clients on AI/ML adoption strategy, governance, and responsible use policies.
• Identify needs and opportunities to incorporate AI/ML for optimizing outcomes while supporting predictive modeling and data-driven decision making for clients.
• Lead needs assessments to identify organizational gaps, training requirements, and technical infrastructure needs.
• Guide clients to understand, trust, and embrace AI/ML as a viable, practical tool to drive business outcomes.
• Design and deliver AI/ML roadmaps, including implementation frameworks, program structures, and success metrics.
• Establish governance and compliance frameworks to support the safe and scalable deployment of AI solutions.
• Partner with client leadership to align AI initiatives with business goals and enterprise IT strategies.
• Define best practices and standards for scalable AI/ML operations within organizations.
• Strategically utilize foundation models, including fine-tuning, evaluation, and deployment.
• Advise on tools and platforms across the ML lifecycle.
• Lead project planning, define sprints, estimation, prioritization, and retrospectives.
• Collaborate internally to refine our consulting methodologies, solution frameworks, and service offerings in AI/ML.
• Mentor and guide junior developers in both technical and professional development.
• Help establish team skills baselines and contribute to training and upskilling initiatives.
• Conduct regular code and model reviews, establish best practices, and support SDLC.
• Provide updates to the Data Analytics Manager about project progress, team needs, junior analyst development needs, etc.
• Provide technical expertise during proposal development, including reviewing RFPs, crafting technical approaches, and estimating LOEs.
• Participate in client meetings and demos.

Qualifications

• Bachelor’s degree in Computer Science, Computer Engineering, Systems Engineering, Data Science, or related field.
• 15+ years of professional experience in client-facing or consulting work.
• Strong experience with and understanding of ML frameworks and tools.
• Proficiency in Python and experience with additional languages (e.g., Java, R, C++).
• Ability to translate complex AI/ML concepts into clear, actionable guidance for non-technical stakeholders.

Preferred Qualifications

• Master’s degree in Computer Science, Computer Engineering, Systems Engineering, Data Science, or related field.
• 8+ years of professional experience in AI/ML.
• Prior experience designing or leading AI/ML training and upskilling programs.
• Expertise in data curation and preparation, including LLM training workflows and dataset development.
• Experience with cloud platforms (Azure, AWS, GCP) and modern MLOps pipelines (Docker, Kubernetes, CI/CD).