Senior AI and Data Manager

This person will lead AI initiatives from concept through production, oversee highly technical teams, and partner closely with senior leadership to turn innovative ideas into measurable outcomes.

• 10+ years of progressive experience across Data, Analytics, Artificial Intelligence, Machine Learning, Architecture, or related technology disciplines \n

• 5+ years of experience leading highly technical teams within complex enterprise environments \n

• Proven experience taking AI initiatives from concept through production deployment \n

• Experience scaling AI products, platforms, or enterprise data solutions \n

• Leadership experience across Architects, Data Scientists, AI Engineers, and/or Data Engineers \n

• Strong experience influencing executive stakeholders and leading enterprise-wide initiatives \n

• Experience delivering large-scale technology transformation programs \n

• Strong understanding of enterprise AI architectures and modern data ecosystems \n

• Knowledge of the machine learning lifecycle, model deployment, and MLOps \n

• Familiarity with generative AI technologies and enterprise use cases \n

• Experience with cloud-native data and AI architectures \n

• Knowledge of AI governance and responsible AI practices

n

\n

The ideal candidate combines strong technical knowledge with strategic thinking, executive presence, and proven experience building and scaling AI capabilities within a complex enterprise environment.

\n

\n

What You’ll Be Doing

\n \n

• Define and execute enterprise AI and data strategy aligned with broader business goals \n

• Partner with executive and business leaders to identify opportunities for AI, machine learning, generative AI, and advanced analytics \n

• Lead AI initiatives from ideation through development, deployment, adoption, and ongoing optimization \n

• Build and scale enterprise AI products, platforms, and solutions \n

• Establish best practices around AI governance, operationalization, responsible AI, and performance measurement \n

• Provide leadership across Data Science, AI Engineering, Data Engineering, and Architecture teams \n

• Guide the evolution of enterprise AI architectures and cloud-native data ecosystems \n

• Drive modern approaches to machine learning deployment, model management, and MLOps \n

• Ensure AI and data solutions are secure, reliable, scalable, and aligned with business objectives \n

• Lead, mentor, and develop highly technical teams while creating a culture of innovation and accountability \n

• Serve as a trusted advisor to executive stakeholders and communicate complex technical concepts in a clear, business-focused way \n

• Influence enterprise technology decisions and drive alignment across technical and business teams \n

\n

\n