Executive Director, AI and Enterprise Data Management

Arrowhead Pharmaceuticals, Inc. (Nasdaq ARWR) is a commercial stage biopharmaceutical company that develops medicines that treat intractable diseases by silencing the genes that cause them. Using a broad portfolio of RNA chemistries and efficient modes of delivery, Arrowhead therapies trigger the RNA interference mechanism to induce rapid, deep, and durable knockdown of target genes. RNA interference, or RNAi, is a mechanism present in living cells that inhibits the expression of a specific gene, thereby affecting the production of a specific protein.

Arrowhead's RNAi-based therapeutics leverage this natural pathway of gene silencing.

Arrowhead is focused on developing innovative drugs for diseases with a genetic basis, typically characterized by the overproduction of one or more proteins that are involved with disease. The depth and versatility of our RNAi technologies enables us to potentially address conditions in virtually any therapeutic area and pursue disease targets that are not otherwise addressable by small molecules and biologics.

Arrowhead is leading the field in bringing the promise of RNAi to address diseases outside of the liver, and our clinical pipeline includes disease targets in the liver and lung with a promising pipeline of preclinical candidates.

Arrowhead's corporate headquarters is in Pasadena, CA with research and development teams in Madison, WI & San Diego, CA, and a state of the art manufacturing facility in Verona, WI.  Our employees are nimble, science-driven innovators who are collaborating to bring new therapies to patients in need.

The Position

The Executive Director of Artificial Intelligence and Enterprise Data Management will lead the strategy, development, and deployment of enterprise-wide data, generative AI, and agentic AI capabilities to accelerate innovation and improve operational efficiency, while ensuring regulatory compliance. This role will serve as a key enabler across the organization, transforming fragmented data into a strategic asset and driving AI adoption across R&D, CMC, Clinical, Manufacturing, and G&A functions.

This leader will act as both a strategist and operator, educating the organization on emerging technologies, aligning cross-functional priorities, and delivering scalable AI and data solutions that create measurable business value.

This role is based onsite 5 days a week from one of Arrowhead's office locations.

Responsibilities

Enterprise AI & Data Strategy

* Define and execute a unified enterprise data and AI strategy aligned with company growth and R&D and commercialization goals

* Identify high-impact AI and data opportunities across all functions (R&D, Clinical, CMC, Manufacturing, G&A and etc.)

* Drive executive alignment on AI and data strategy, including opportunities, risks, and investment priorities

* Lead the design and implementation of an enterprise data platform enabling data integration across R&D, CMC, Clinical, and commercial domains

* Establish scalable data architecture to support real-time pipelines, advanced analytics, machine learning, agentic AI workflows, and AI-driven insights

* Enable interoperability and data sharing across previously siloed systems

AI Governance & Responsible AI

* Define and own the enterprise AI acceptable-use policy, responsible AI framework, and guardrails for LLM deployment in regulated (GxP) workflows

* Ensure alignment with emerging regulatory guidance on AI/ML (FDA AI framework, NIST AI RMF, ISO 42001) and maintain audit-ready documentation for AI systems in regulated contexts

* Establish AI model lifecycle governance including validation, performance monitoring (LLMOps), and deprecation procedures

* Partner with Legal, Compliance, and Information Security to manage AI vendor risk and data privacy obligations

Data Governance & Compliance

* Establish enterprise data governance frameworks including ownership, stewardship, data classification, quality standards, and lifecycle management

* Ensure compliance with regulatory requirements including GMP, GLP, GCP, SOX and data integrity standards

* Partner with Information Security to implement robust data protection, privacy, and AI governance…