Commercial Data Management Manager

LHH

Alameda (CA)

On-site

USD 110,000 - 150,000

Full time

2 days ago
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Job summary

LHH is seeking an experienced Commercial Data Management Manager in California to lead the governance and use of customer and commercial data across sales, marketing, and analytics. The role focuses on building a connected data landscape and ensuring data quality and compliance.

You will partner with Commercial Operations, IT, and external data providers to drive integrated data solutions that support pricing, market access, and analytics initiatives.

Qualifications

  • Bachelor’s degree required or related field.
  • 5+ years of relevant experience in commercial operations, data management, analytics, or related function.
  • Experience in pharmaceutical/biotech/life sciences industry preferred.
  • Strong knowledge of commercial data management and Master Data Management (MDM).
  • Experience with customer master data, affiliations, account hierarchies, and data governance.

Responsibilities

  • Manage customer and commercial data across multiple sources (sales, marketing, trade/channel, market access, etc.).
  • Support integration and onboarding of new commercial data sources.
  • Maintain and improve customer master data, affiliations, hierarchies, and related business rules.
  • Develop and enhance an integrated Customer 360 environment.
  • Partner with IT, data engineering, and analytics to improve data pipelines and workflows.
  • Ensure commercial data is accurate, accessible, and governed.
  • Work with external data vendors and support data procurement, licensing, and data-use requirements.
  • Translate business requirements into data solutions for commercial teams (market access, pricing, rebates, analytics).
  • Identify opportunities to improve data quality and operational efficiency.
  • Lead cross-functional data and process-improvement initiatives.

Skills

Analytical skills
Problem solving
Project management
Communication skills

Education

Bachelor's degree in Business, Analytics, Information Systems, Life Sciences, or a related field

Tools

SQL
Python
Excel
Access

Job description

We are seeking an experienced Commercial Data Management Manager to join a growing life sciences organization. This individual will play a key role in how customer and commercial data is collected, integrated, governed, and utilized across the business.

The position will partner closely with Commercial Operations, Sales, Marketing, Market Access, Trade, Patient Services, Analytics, and IT, while also working with external data providers.

This is an excellent opportunity for someone who understands pharmaceutical commercial data and enjoys working at the intersection of business operations, data management, analytics, and technology.

What You'll Do
  • Manage customer and commercial data across multiple sources, including sales, marketing, trade/channel, market access, patient services, claims, and third-party data.
  • Support the integration and onboarding of new commercial data sources.
  • Maintain and improve customer master data, including customer records, affiliations, hierarchies, and related business rules.
  • Help develop and enhance an integrated Customer 360 environment.
  • Partner with IT, data engineering, and analytics teams to improve data pipelines, integrations, automation, and workflows.
  • Ensure commercial data is accurate, consistent, accessible, and properly governed.
  • Work with external data vendors and support data procurement, licensing, contracts, and data-use requirements.
  • Partner with commercial teams to understand their data needs and translate business requirements into effective data solutions.
  • Support data requirements related to market access, contracts, pricing, rebates, trade/channel operations, and commercial analytics.
  • Identify opportunities to improve data quality, streamline processes, and increase operational efficiency.
  • Lead or participate in cross-functional commercial data and process-improvement initiatives.
What We’re Looking For
  • Bachelor's degree in Business, Analytics, Information Systems, Life Sciences, or a related field preferred.
  • 5+ years of relevant experience within commercial operations, commercial data management, analytics, consulting, or a related function.
  • Experience within the pharmaceutical, biotechnology, medical device, or broader life sciences industry.
  • Strong knowledge of commercial data management and Master Data Management (MDM).
  • Experience working with customer master data, customer affiliations, account hierarchies, and data governance.
  • Familiarity with pharmaceutical commercial datasets such as claims, trade/channel, prescriber, customer, syndicated, and promotional data.
  • Experience with industry data providers such as IQVIA, Symphony Health, OneKey, or similar platforms.
  • Understanding of how data supports Sales Operations, Marketing, Market Access, Trade, and other commercial functions.
  • Strong analytical, problem-solving, project management, and communication skills.
  • Ability to work effectively across both business and technical teams.
Preferred Qualifications
  • Experience within oncology, specialty pharmaceuticals, or specialty therapeutics.
  • Commercial analytics experience.
  • Experience working with SQL, Python, Excel, Access, or similar data and analytics tools.
  • Experience improving or automating commercial data workflows.
  • Experience working with commercial data warehouses, data lakes, or similar enterprise data environments.
Equal Opportunity Employer/Veterans/Disabled

To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://www.lhh.com/us/en/candidate-privacy

The Company will consider qualified applicants with arrest and conviction records in accordance with federal, state, and local laws and/or security clearance requirements, including, as applicable:

  • The California Fair Chance Act
  • Los Angeles City Fair Chance Ordinance
  • Los Angeles County Fair Chance Ordinance for Employers
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