Head of Artificial Intelligence & Enablement

Role Summary

Head of Artificial Intelligence & Enablement

Responsibilities

• Define the enterprise AI strategy and roadmap, aligning with business priorities and overall company vision.
• Publish and iterate on a 24-month AI portfolio roadmap with value hypotheses, build-vs-buy decisions, target architectures (LLM Ops / ML Ops), and deprecation plans.
• Institutionalize an AI use-case intake and prioritization process (value, feasibility, risk), reviewed quarterly with senior leadership.
• Partner with leadership to identify and prioritize high-value AI opportunities across R&D, Commercialization, and Corporate Functions.
• Track AI trends, emerging technologies, and regulatory landscapes to keep the organization at the leading edge.
• Facilitate RFI / RFP initiatives for evaluating new technology solutions and partnerships.
• Launch a tiered AI Literacy curriculum (Executive, Manager, Practitioner) with certifications and communities of practice; publish adoption dashboards.
• Drive change management and cultural adoption of AI as a strategic business capability.
• Establish forums to accelerate responsible experimentation and knowledge-sharing across the enterprise.
• Lead platform selection for GenAI/ML (model endpoints, vector stores, agent frameworks, guardrails), including TCO, data residency, and security posture.
• Publish reference architectures and reusable patterns for enterprise AI adoption.
• Define LLM Ops / ML Ops standards (model registry, evaluation benchmarks, prompt/version control, observability, rollback).
• Implement an enterprise AI system of record for models, prompts, and datasets with lineage, approvals, and audit trails.
• Partner with Information Technology, Data Insights and Analytics, and Information Security to ensure infrastructure, platforms, and governance frameworks support priority objectives.
• Chair the cross-functional AI Governance Council spanning risk, legal, security, and business leader membership.
• Maintain policies for lifecycle management, bias/robustness testing, explainability, human oversight, and incident response.
• Map controls to major frameworks/regulations (e.g., NIST AI RMF, EU AI Act readiness), with annual assurance.
• Ensure compliance with global AI regulations and ethical standards. Lead a product-centric, agile delivery model for AI adoption across the enterprise.
• Run a quarterly AI portfolio review with functional leadership to prioritize investments based on value, feasibility, and risk.
• Partner with Insights & Analytics leaders on their delivery of analytics use cases while focusing on AI strategy, platforms, literacy, and governance to support their ability to derive insights and actions, ultimately supporting business outcomes
• Perform other duties as assigned.

Qualifications

• Bachelor‚Äôs degree in Information Systems, Computer Science, Data Sciences, or an equivalent technical discipline; Advanced degree preferred.
• Targeting 10+ years of progressively responsible experience deploying and implementing ethical AI frameworks and practices. Targeting 5+ years biopharmaceutical experience. An equivalent combination of relevant education and experience may be considered.
• Visionary leader with the ability to set a bold AI strategy
• Deep knowledge of emerging AI technologies, vendors, and regulatory landscape.
• Excellent communication and storytelling skills to simplify complex AI topics for non-technical leaders.
• Strong collaboration across business, data, technology, and risk functions.
• Exceptional written and verbal communication skills, strong business acumen, executive presence, and ability to influence at the executive level.
• Naturally connects and builds strong relationships with others, demonstrating strong emotional intelligence and an ability to communicate clearly and persuasively.
• Ability to deal with ambiguity and the corresponding capacity to make decisions or recommendations based on potentially incomplete information.
• Adaptability to quickly and proactively implement change initiatives.
• Proven success in driving team performance by setting clear, ambitious goals and fostering a culture of accountability.
• Committed to continuous improvement and consistently delivering measurable results.
• Experienced working in a regulated environment following GxP processes.
• Trusted advisor to executives on AI opportunities and risks.
• Change agent who drives education, adoption, and cultural transformation.
• Ethical leader ensuring AI is deployed responsibly, safely, and compliantly.
• Must be able and willing to travel both domestically and internationally.

Education

• As listed in Qualifications

Additional Requirements

• Must be able and willing to travel both domestically and internationally.