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Senior Director, Data Management

Acadia Pharmaceuticals Inc.
CompanyAcadia Pharmaceuticals Inc.
CategoryData & Analytics
LocationPrinceton
RemoteOn-site (inferred)
EmploymentNot stated
LevelDirector
SalaryNot stated by the employer
Posted9 Jul 2026
Last verified2 Aug 2026
SourceEmployer ATS (greenhouse)
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Description
About Acadia Pharmaceuticals   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. Please note that this position can be based in San Diego, CA; Princeton, NJ; San Francisco, CA. Acadia's hybrid model requires this role to work in our office an average of 3 days per week. Position Summary The Sr. Director, Data Management is a key leadership role within Acadia’s R&D organization, responsible for driving strategy, operational excellence, and continuous improvement across the Data Management function. This individual will lead the design, implementation, and oversight of clinical data collection and database review activities that support critical development programs and company objectives. Working closely with cross-functional leaders, the Sr. Director will advance efficient, high-quality data management processes, ensure systems are business-ready, and lead data management outsourcing and vendor/FSP partnerships. This is an exciting opportunity to shape data strategy and make a meaningful impact on the development of therapies for patients with unmet medical needs. Primary Responsibilities Provide strategic leadership and oversight of Data Management activities across Acadia's clinical development portfolio Lead and develop the Data Management function, including organizational design, resource planning, budgeting, hiring, and performance management Establish and evolve a scalable Data Management operating model that leverages both internal capabilities and outsourced vendor/FSP partnerships Oversee vendor selection, governance, contract management, and performance to ensure high-quality data management deliverables Drive the development and implementation of Data Management standards, processes, SOPs, and inspection-readiness practices Ensure the timely delivery of high-quality clinical databases and datasets supporting analysis, regulatory submissions, and health authority inspections Provide strategic oversight of clinical data management systems, technologies, and data standards to support business and development objectives Identify operational risks and lead process improvement initiatives to enhance efficiency, quality, and business continuity Serve as the Data Management subject matter expert during audits, inspections, and cross-functional governance activities Other responsibilities as assigned Education/Experience/Skills Bachelor’s degree in the scientific, biological, statistical or computer science field or related discipline; advanced degree strongly preferred. An equivalent combination of relevant education and experience may be considered. Targeting 12-15 years of experience in the pharma/biotech industry, including 10 years direct report or vendor management experience Experience managing multiple direct reports, contingent workers and programs, including resource planning for Data Management functions, workforce, infrastructure and clinical study deliverables Self-directed, technically strong, and a recognized leader maintaining a strategic prospective regarding data management processes, management of DM activities and customer management Experience working within both in-house and outsourced Data Management operating models Vendor evaluation, selection, governance and management experience, including oversight of Data Management activi