Executive Director, AI and Enterprise Data Management

Arrowhead Pharmaceuticals•San Diego, CA

4h•Onsite

About The Position

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 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.

Requirements

12+ years of experience in data, analytics, AI/ML, or informatics leadership roles
Bachelor’s degree in Computer Science, Data Science, Engineering, Life Sciences, or a related field
Proven experience building and scaling enterprise data platforms and AI capabilities
Experience in life sciences, biotechnology, pharmaceutical industry, or technology industry
Demonstrated success operating in regulated environments
Experience supporting commercial-stage organizations or scaling companies
Deep understanding of modern data architectures, cloud platforms, and AI/ML technologies
Strong business acumen with ability to translate strategy into execution
Experience leading cross-functional transformation initiatives
Ability to balance innovation with risk management and compliance

Nice To Haves

Advanced Degree in Data Science, Engineering, Life Sciences or Business
Pharmaceutical industry experience

Responsibilities

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
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
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 guardrails
Partner with IS and business function leaders to identify opportunities for data integration and AI-driven value creation
Act as a bridge between technical and non-technical stakeholders to ensure adoption and impact
Partner with business and IS leaders to prioritize, design, and deploy AI solutions that improve decision-making and operational efficiency
Oversee development and scaling of AI agents and technology across functions such as Commercial, Finance, HR, and Legal
Manage strategic relationships with AI vendors and development partners, including contracting, performance oversight, and alignment to enterprise standards
Ensure all AI tools and vendors comply with security, data governance, and regulatory requirements in partnership with Information Security and Legal
Build and lead a high-performing, multidisciplinary team spanning data engineering, data science, AI/ML, and informatics
Integrate and scale the existing digital workspace/agent experimentation team into a formal enterprise function
Foster a culture of innovation, collaboration, and continuous learning