Associate Director, Operations AI Strategy

About the role

The Associate Director, AI Strategy and Planning drives AI strategy and governance across Operations, aligning with enterprise AI priorities. They lead planning processes, partner with AI Directors and Engineers, and provide updates to senior leadership forums.

Responsibilities

• Drive AI governance across Operations, ensuring alignment to enterprise AI strategy and decision-making forums.
• Develop materials and provide updates to senior leadership, including the Operations SLT and AI SteerCo.
• Lead annual PLAN and LRP processes for AI initiatives, assessing and prioritizing new use cases and investment opportunities.
• Create and improve frameworks, governance standards, and internal processes for use case scoping, prioritization, business case development, and delivery readiness.
• Support evaluation and selection of external vendors and partners, defining assessment criteria and facilitating cross-functional reviews.
• Partner with AI Directors, Engineers, and business stakeholders to define initial value estimates, success metrics, and assumptions for new AI use cases.
• Establish and manage routine mechanisms for tracking portfolio progress, value realization, risks, issues, and decisions, and communicate insights to relevant stakeholders.
• Identify process improvement opportunities that strengthen AI portfolio management, governance maturity, scalability, and adoption across Operations.

Requirements

• Bachelor’s degree or equivalent in business, engineering, data science, computer science, life sciences, or a related field; advanced degree preferred.
• Substantial experience at the intersection of strategy, operations, and technology within the pharmaceutical or biotechnology industry.
• Experience in pharmaceutical manufacturing and operations.
• Working knowledge of AI/ML concepts and ability to apply them to varied business settings.
• Experience developing strategy for technology-enabled use cases.
• Demonstrated ability to assess, scope, and prioritize opportunities, translate business needs into structured initiatives, and support roadmap development.

Qualifications

• No specific qualifications mentioned.

Skills

• Strategic thinking and planning.
• Collaborative problem-solving.
• Effective communication and stakeholder engagement.
• Project management skills.
• Business acumen and financial analysis.
• Technical understanding of AI/ML concepts.

Benefits

• Paid time off (vacation, holidays, sick).
• Medical/dental/vision insurance.
• 401(k) plan.
• Long-term incentive programs.

Pay

$141,500 - $268,500 USD

Schedule

Hybrid