Senior Manager, AI Engineering

<div class="content-intro"><p></p> <div data-ogsc="black"><span data-ogsc="" data-ogsb="yellow"><strong data-ogsc="" data-olk-copy-source="MessageBody">About Acadia Pharmaceuticals</strong></span></div> <div data-ogsc="black">&nbsp;</div> <div data-ogsc="black"><span data-ogsc="" data-ogsb="yellow">Acadia is committed to turning scientific promise into meaningful innovation that makes the difference for underserved neurological and rare disease communities around the world. Our commercial portfolio includes the first and only FDA-approved treatments for Parkinson’s disease psychosis and Rett syndrome. We are developing the next wave of therapeutic advancements with a robust and diverse pipeline that includes mid- to late-stage programs in Alzheimer’s disease psychosis and Lewy body dementia psychosis, along with earlier-stage programs that address other underserved patient needs. At Acadia, we’re here to be their difference.</span></div></div><p></p> <p>Please note that this position can be based in San Diego, CA, San Francisco, CA or Princeton, NJ. Acadia's hybrid model requires this role to work in our office three days per week on average.</p> <p><strong><u>Position Summary</u></strong></p> <div> <div>The Senior Manager, AI Engineering plays a key role in advancing Acadia's enterprise AI capabilities through the development, deployment, and governance of scalable AI and machine learning solutions. As part of the Artificial Intelligence team, this individual will partner with stakeholders across R&amp;D, Commercial, and Corporate functions to translate data into actionable insights and business value. This role will help drive AI strategy execution, support responsible AI practices, and enable the adoption of innovative technologies that accelerate decision-making and operational excellence across the organization.</div> </div> <p><strong><u>Primary Responsibilities</u></strong></p> <ul> <li>Contribute to the execution of the enterprise AI strategy and roadmap by aligning AI and machine learning initiatives with business priorities and identifying high-value use cases across the organization</li> <li> <div>Partner with stakeholders across R&amp;D, Commercial, and Corporate Functions to identify and develop AI and machine learning solutions that drive business value</div> </li> <li> <div>Deliver analytics and data science use cases that generate actionable insights and support data-driven decision-making</div> </li> <li> <div>Support cross-functional AI governance activities by providing technical expertise on model risk, responsible AI pr