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Data Governance Pharma Jobs (NOW HIRING)

Jobtailor

Staff, Data Engineer

Sunnyvale, CA · On-site

$140 - $180/hr

... external pharma partners * Translate HIPAA, DGC, and Expert Determination requirements into engineering controls with Legal, Privacy, and Compliance * Implement data governance practices for ...

Virtusa Corporation

AWS Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Ensure adherence to data governance, security, and compliance standards, particularly within Finance or Life Sciences/Pharma environments. Mentor junior engineers, perform code reviews, and promote ...

Virtusa Corporation

AWS Data Engineer

Los Angeles, CA · On-site

$123K - $148K/yr

Ensure adherence to data governance, security, and compliance standards, particularly within Finance or Life Sciences/Pharma environments. * Mentor junior engineers, perform code reviews, and promote ...

US Tech Solutions

MDM Data Analyst I

Lexington, MA

The MDM Data Analyst reports to the MDM/Data Governance Manager and is responsible for the end-to ... Pharma related preferred Informatica MDM/IDD experience preferred One full cycle of an MDM ...

MSD

The Director, Pharma Pricing Operations & Analytics is a senior thought leader responsible for ... Champion data governance and data quality, ensuring a robust and reliable foundation for all ...

New

Merck

The Director, Pharma Pricing Operations & Analytics is a senior thought leader responsible for ... Champion data governance and data quality, ensuring a robust and reliable foundation for all ...

New

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Data Governance Pharma information

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How much do data governance pharma jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for data governance pharma in the United States is $54.78, according to ZipRecruiter salary data. Most workers in this role earn between $40.62 and $67.07 per hour, depending on experience, location, and employer.

What is data governance in pharma?

Data Governance in Pharma refers to the framework of processes, roles, policies, standards, and metrics that ensure the effective and secure use of data within pharmaceutical companies. It focuses on maintaining data quality, integrity, privacy, and compliance with regulatory requirements such as FDA, EMA, and GDPR. Implementing data governance helps pharma organizations manage their data assets efficiently, support data-driven decision-making, and reduce risks associated with data misuse or inaccuracy. It is essential for ensuring that clinical, research, and operational data can be trusted and used effectively across the organization.

How does a data governance professional in pharma typically collaborate with cross-functional teams?

Data Governance professionals in the pharmaceutical industry work closely with departments such as R&D, regulatory affairs, clinical operations, and IT. They ensure that data standards, policies, and compliance requirements are consistently applied across all functions. This collaboration involves facilitating data stewardship meetings, providing guidance on data quality, and supporting teams in adhering to industry regulations like GxP and GDPR. Effective communication and stakeholder management skills are essential, as the role requires balancing technical solutions with the needs of diverse business units.

What are the key skills and qualifications needed to thrive as a data governance professional in pharma?

A Data Governance professional in pharma needs a solid understanding of data management principles, regulatory compliance (such as FDA or EMA guidelines), and a background in life sciences or information technology. Familiarity with data governance frameworks, metadata management tools, and systems like Informatica, Collibra, or Master Data Management (MDM) platforms is typically required. Strong analytical thinking, attention to detail, and effective stakeholder communication set top performers apart. These skills ensure data integrity, regulatory compliance, and enable better decision-making within the highly regulated pharmaceutical environment.

What is the difference between Data Governance Pharma vs Data Analyst Pharma?

AspectData Governance PharmaData Analyst Pharma
Primary FocusEstablishing data policies, ensuring data quality, compliance, and security in pharmaceutical data managementAnalyzing data sets to generate insights, reports, and support decision-making in pharma
Required SkillsData management, regulatory knowledge, data quality assurance, policy developmentData analysis, statistical skills, visualization, reporting tools
Work EnvironmentRegulated pharma companies, data governance teams, compliance departmentsResearch labs, analytics teams, business units within pharma companies

Data Governance Pharma professionals focus on managing and securing pharmaceutical data, ensuring compliance with industry regulations. Data Analysts Pharma interpret data to support business decisions. Both roles require strong data skills but differ in their core responsibilities and focus areas.

More about Data Governance Pharma jobs

What cities are hiring for Data Governance Pharma jobs?

Cities with the most Data Governance Pharma job openings:

What states have the most Data Governance Pharma jobs?

States with the most job openings for Data Governance Pharma jobs include:

What job categories do people searching Data Governance Pharma jobs look for?

The top searched job categories for Data Governance Pharma jobs are:

Data Governance Pharma jobs near you
Infographic showing various Data Governance Pharma job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $113,939 per year, or $54.8 per hour.

Staff, Data Engineer

Jobtailor

Sunnyvale, CA • On-site

$140 - $180/hr

Other

Posted 4 days ago

Job description

  • Collaborate with stakeholders to translate complex business requirements into scalable data solutions
  • Operate and evolve de-identification and tokenization pipelines on two on-premises vendor platforms through CLI-driven workflows
  • Build transformations and joins to adjust data granularity and satisfy risk thresholds under the Expert Determination methodology
  • Own daily and weekly refresh cycles feeding internal analytics and external pharma partners
  • Translate HIPAA, DGC, and Expert Determination requirements into engineering controls with Legal, Privacy, and Compliance
  • Implement data governance practices for regulatory and ethical compliance
  • Automate workflows and optimize ETL processes using modern tools and cloud platforms
  • Conduct data quality assessments and metadata management
  • Support data sourcing, experimentation, evaluation, and production for health-focused products
  • Collaborate with product, data science, and other data engineering teams, owning model quality, insights, and measurable impact
Requirements
  • Bachelor’s degree in Computer Science and 4 years’ experience in software engineering or related field; or 6 years’ experience in software engineering or related field; or Master’s degree in Computer Science and 2 years’ experience in software engineering or related field
  • 3 years’ experience in data engineering, database engineering, business intelligence, or business analytics
  • Translate complex business requirements into scalable data solutions
  • Expertise in data engineering, data pipeline management, and large-scale data processing
  • Strong proficiency in Python, SQL, and ETL frameworks
  • Experience with cloud data platforms, workflow automation, and CI/CD practices
  • Knowledge of data governance, regulatory compliance, and sensitive healthcare data such as PHI/PII
  • Ability to design and implement data models and metadata management using modern tools
  • Familiarity with Apache Kafka, REST APIs, and Git
  • Ability to work with HIPAA, DGC, and Expert Determination requirements
  • Walmart maintains a drug-free workplace and a no-tolerance policy regarding illegal drugs and alcohol on the job
Core Competencies

Demonstrates expertise in data engineering, including data pipeline management, ETL processes, and regulatory compliance, with a strong focus on translating complex business requirements into scalable data solutions. Proficient in Python, SQL, and cloud data platforms, ensuring data quality and governance in health-focused products.

Highest-signal resume keywords
  • Data Engineering
  • Python Proficiency
  • ETL Frameworks
  • Data Governance
  • Cloud Data Platforms
ATS Optimization KeywordsHard Skills
  • Data Pipeline Management
  • Large-Scale Data Processing
  • Metadata Management
  • Data Modeling
  • Workflow Automation
  • CI/CD Practices
  • Data Quality Assessment
  • Business Intelligence
  • Business Analytics
  • Database Engineering
Industry Keywords
  • HIPAA
  • DGC
  • Expert Determination
  • PHI
  • PII
  • Regulatory Compliance
  • Data Governance
  • Ethical Compliance
Tools & Technologies
  • Apache Kafka
  • REST APIs
  • Git
  • Cloud Platforms
  • CLI-Driven Workflows
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