Acadia Pharmaceuticals is seeking an Executive Director, Artificial Intelligence (AI) Strategy & Enablement to oversee the company's enterprise AI agenda, ensuring that AI adoption is safe, ethical, and value-driven, and to drive business value at scale across R&D, commercialization, and corporate operations.
Requirements
- Deep knowledge of emerging AI technologies, vendors, and regulatory landscape.
- Experience with AI native platform selection and architecture standards, balancing capabilities, cost, performance, data residency, and security.
- Knowledge of LLM Ops / ML Ops standards (model registry, evaluation benchmarks, prompt/version control, observability, rollback).
- Experience with implementing an enterprise AI system of record for models, prompts, and datasets with lineage, approvals, and audit trails.
- Knowledge of major frameworks/regulations (e.g., NIST AI RMF, EU AI Act readiness).
- Experience with agile delivery models for AI adoption across the enterprise.
- Knowledge of cloud-based AI platforms and technologies.
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.
- Lead platform selection for GenAI/ML (model endpoints, vector stores, agent frameworks, guardrails), including TCO, data residency, and security posture.
Other
- Bachelor's degree in Information Systems, Computer Science, Data Sciences, or an equivalent technical discipline; Advanced degree preferred.
- 10+ years of progressively responsible experience deploying and implementing ethical AI frameworks and practices.
- 5+ years biopharmaceutical experience.
- Excellent communication and storytelling skills to simplify complex AI topics for non-technical leaders.
- Ability to travel both domestically and internationally.
