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Director, Enterprise Commercial Data Management

Job in Brisbane, San Mateo County, California, 94005, USA
Listing for: Pacira Pharmaceuticals, Inc.
Full Time position
Listed on 2026-09-12
Job specializations:
  • IT/Tech
    Business Intelligence, Data Analyst, Data Engineering, Data Warehousing
Salary/Wage Range or Industry Benchmark: 189000 - 259000 USD Yearly USD 189000.00 259000.00 YEAR
Job Description & How to Apply Below
Location: Brisbane

Overview

At Pacira, innovation meets purpose. Pacira Bio Sciences, Inc. is a pioneer in non-opioid pain management and regenerative health solutions. Today, we’re building on that legacy with next-generation innovations for chronic, postsurgical, and musculoskeletal pain. Our culture is built on collaboration, innovation, and a shared commitment to helping patients recover faster.

We are redefining what’s possible in pain management—and we can’t do it without talented people like you.

Why Join Us?

At Pacira, every career is more than a job. Our mission drives us, and every day, we challenge ourselves to achieve the extraordinary. Integrity is at the core of who we are. We value diverse perspectives and the collective strength of a unified team. Join the team in
making better possible
for patients everywhere.

The Director, Enterprise Commercial Data Management provides enterprise leadership and strategic direction for Pacira’s commercial data ecosystem. Key stakeholders include Insights & Analytics, Trade Operations, IT, Commercial Operations, Finance, Market Access, Marketing, Sales, and external data partners. Reporting to the Senior Director, Commercial Data & Advanced Analytics, this leader drives cross-functional alignment, advises stakeholders on data capabilities, risks, and opportunities, and ensures that Pacira’s commercial data is accurate, accessible, well-documented, governed, and fit for business use.

The scope may cover Pacira’s in-line products including EXPAREL and ZILRETTA, pipeline projects including PCRX-201, and broader enterprise commercial data needs. The ideal candidate combines deep commercial data expertise with strategic leadership, executive influence, and a demonstrated ability to translate data investment into measurable business value.

Responsibilities

Essential Duties & Responsibilities
:
The following statements are intended to describe the general nature and level of work being performed by an individual assigned to this job. Other duties may be assigned.

  • Set the strategy and roadmap for Pacira’s enterprise commercial data ecosystem, prioritizing investments and capabilities that support reporting, analytics, forecasting, financial processes, and commercial decision-making.
  • Design and support enterprise commercial data platforms, including data lakes and data warehouses aligned to Pacira’s in-line products, pipeline opportunities, and broader enterprise commercial needs.
  • Own and improve commercial master data management processes, including customer, account, affiliation, hierarchy, GPO roster, contract roster, and related reference data management.
  • Partner closely with IT to support data integration, data quality, ETL review, testing, release management, warehouse enhancements, and downstream reporting and analytics needs.
  • Partner closely with Trade Operations and Finance to support GPO and contract roster management, chargeback reconciliation, monthly GPO administrative fee calculations, quarterly customer tiering, rebate calculations, and related close processes.
  • Provide strategic oversight of commercial data providers and offshore partners, including performance expectations, service quality, resource prioritization, issue escalation, and capability development.
  • Own the commercial data governance framework, including standards, decision rights, stewardship, business rules, documentation, and quality controls across key data assets.
  • Influence senior business and technology leaders, resolve cross-functional priorities and tradeoffs, and build alignment around Pacira’s commercial data strategy, roadmap, and operating model.
  • Develop trusted single-source-of-truth tables, analytics-ready data layers, reusable data models, and supporting documentation to enable…
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