Senior Manager, AI/ML Engineering

The Senior Manager, AI/ML Engineering leads AI/ML engineering delivery and operational performance across AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions. This people-leader role translates business and product priorities into plans, establishes quality and governance expectations, manages risks and dependencies, and develops a high-performing team that delivers measurable outcomes.

Role & responsibilities

Delivery & Execution

• Lead planning, delivery, and operational performance for AI/ML engineering.
• Guide a team responsible for AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions.
• Translate priorities into roadmaps, plans, backlogs, and measurable outcomes.
• Reinforce quality, architecture, security, privacy, compliance, and operational standards.
• Manage capacity, delivery risks, dependencies, budgets, and vendors as applicable.
• Use metrics to improve quality, speed, reliability, cost, and stakeholder value.

Support & Enablement

• Lead, coach, and develop team members; support hiring, performance, and talent processes.
• Build strong partnerships across business, product, architecture, security, data, and technology teams.
• Communicate priorities, progress, risks, and decisions clearly.
• Create an inclusive, accountable, and high-performing team environment.

• Bachelor's degree in Computer Science, Information Technology, Engineering, Design, Analytics, Business, or a related discipline
• 10 to 12 years of relevant experience in AI/ML engineering or a closely related discipline
• Experience with AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions
• Experience leading teams, workstreams, programs, or technology delivery in a complex organization
• Knowledge of Python, machine learning frameworks, cloud AI services, model deployment, monitoring, and MLOps
• Experience collaborating across business and technology teams
• Strong analytical, problem-solving, written, and verbal communication skills

Preferred candidate profile

• Master's degree in a related technical or business field is preferred
• Advanced knowledge of Python, machine learning frameworks, cloud AI services, model deployment, monitoring, and MLOps
• Experience with enterprise-scale cloud, data, digital, retail, pharmacy, healthcare, or customer technology environments
• Experience working with global teams, managed service partners, or distributed delivery models
• Relevant industry, cloud, agile, product, architecture, data, security, design, or technology certifications are preferred