Director, Data Science & Optimization

About the role

The Director, Data Science role is within ITCI, driving AI, machine learning, optimization, and analytics solutions that enhance business performance.

Responsibilities

• Define and execute the data science roadmap aligned with ITCI and enterprise priorities.
• Build, mentor, and develop a high-performing data science organization.
• Establish best practices for data science, machine learning, optimization, and AI development.
• Drive a culture of innovation, accountability, and continuous improvement.
• Partner with senior business leaders to identify high-value opportunities.
• Lead the design, development, deployment, and monitoring of advanced analytics and AI solutions.
• Drive adoption of machine learning, generative AI, predictive analytics, decision science, and optimization capabilities.
• Ensure solutions deliver measurable business value and operational impact.
• Oversee model governance, validation, explainability, and performance management.
• Champion AI solutions that augment decision making and improve productivity.
• Serve as a trusted advisor to business and technology leaders.
• Collaborate with Data Engineering teams to ensure scalable, AI-ready data foundations.
• Partner with Business Technology Partners, Product Owners, and business stakeholders to define requirements and success metrics.
• Communicate insights and recommendations to executive audiences.
• Create growth opportunities through mentoring, coaching, and technical leadership.
• Foster collaboration across global teams and functions.

Requirements

• Bachelor’s Degree or Equivalent years of directly related experience (or high school +18 yrs; Assoc.+14 yrs; M.S.+7 yrs; PhD+6 yrs)
• The ability to fluently read, write, understand, and communicate in English
• 10 Years of Relevant Experience
• 6 Years of Demonstrated Leadership
• Preferred Qualifications: Experience in healthcare, medical devices, pharmaceuticals, manufacturing, supply chain environments; Experience with large language models (LLMs), retrieval-augmented generation (RAG), and agentic AI solutions; Familiarity with MLOps, DevOps, and enterprise AI governance frameworks.

Qualifications

• Master's degree or PhD in Data Science, Statistics, Operations Research, Computer Science, Engineering, Applied Mathematics, or a related quantitative field.
• 10+ years of experience in analytics, data science, machine learning, or AI.
• 5+ years of experience leading high-performing analytics or data science teams.
• Demonstrated experience delivering enterprise-scale AI, machine learning, and advanced analytics solutions.
• Strong stakeholder management and executive communication skills.
• Experience managing cross-functional teams and complex business initiatives.
• Proficiency with Python, SQL, cloud-based analytics platforms, and modern machine learning frameworks.