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Data Anonymization Jobs (NOW HIRING)

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Saint Louis, MO · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Birmingham, AL · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Kansas City, MO · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Baltimore, MD · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Spartanburg, SC · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

Data Engineer - Manager

Miami, FL · On-site

$99K - $232K/yr

... anonymization and security best practices in complex systems - Excelling in dimensional modeling and data pipeline management - Leading teams in data warehouse troubleshooting and performance tuning ...

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Data Anonymization information

See salary details

$46K

$165K

$243.5K

How much do data anonymization jobs pay per year?

As of Jun 27, 2026, the average yearly pay for data anonymization in the United States is $165,018.00, according to ZipRecruiter salary data. Most workers in this role earn between $133,500.00 and $170,000.00 per year, depending on experience, location, and employer.

What is data anonymization?

Data anonymization is the process of transforming personal or sensitive data so that individuals cannot be identified, either directly or indirectly. This is typically achieved by removing or encrypting identifiers such as names, addresses, or social security numbers, and sometimes by aggregating data. The goal is to protect privacy while still allowing the data to be used for analysis or research. Data anonymization is crucial in complying with privacy regulations like GDPR and HIPAA. Properly anonymized data helps organizations minimize risk while making valuable data available for insights and decision-making.

Why is anonymization a challenge of cyber security?

Data anonymization is a challenge in cybersecurity because it involves balancing data privacy with the need for data utility, making it difficult to remove all identifying information without losing valuable insights. Skilled professionals must understand techniques like masking and encryption, and stay updated on evolving threats and standards to effectively protect sensitive data while maintaining compliance.

What is the difference between Data Anonymization vs Data Masking?

AspectData AnonymizationData Masking
PurposeTo permanently remove or alter identifiable information to protect privacyTo temporarily hide sensitive data for testing or training
MethodData is irreversibly transformedData is reversibly masked or obscured
Use CasesData sharing, privacy compliance, anonymized analyticsTesting, development, user training
Impact on DataData becomes non-identifiable and unusable for original purposesData remains usable but obscured

While both Data Anonymization and Data Masking aim to protect sensitive information, Data Anonymization permanently alters data to prevent re-identification, making it suitable for privacy compliance and sharing. Data Masking temporarily obscures data for testing or training, allowing data usability while protecting sensitive details.

How to make a career in data privacy?

A career in data privacy often involves roles like data privacy analyst or data protection officer, requiring knowledge of data protection laws such as GDPR and CCPA. Building skills in data security, privacy frameworks, and tools like data masking and encryption, along with relevant certifications like CIPP or CIPM, can enhance job prospects in this field.

What are some common challenges faced by professionals working in data anonymization roles?

Professionals in data anonymization often encounter challenges such as balancing data utility with privacy, ensuring compliance with evolving data protection regulations, and addressing the risk of re-identification. The work typically involves collaborating closely with data engineers, analysts, and legal teams to determine the appropriate anonymization techniques for various datasets. Staying updated on new privacy tools and methodologies is crucial, as is adapting processes to fit the unique needs of each project or organization.

What does a data privacy specialist do?

A data privacy specialist is responsible for developing and implementing policies to protect sensitive information and ensure compliance with data privacy laws. They analyze data handling processes, conduct risk assessments, and often work with tools like data masking and encryption to safeguard personal data. Their role helps organizations prevent data breaches and maintain user trust.

What does data anonymization do?

Data anonymization is a process used by data anonymization specialists to remove or obscure personally identifiable information from datasets, ensuring individual privacy while maintaining data utility. It helps organizations comply with privacy regulations and reduces the risk of data breaches during analysis or sharing. Skills in data masking, encryption, and understanding of privacy standards are important for this role.

What are the key skills and qualifications needed to thrive in Data Anonymization, and why are they important?

To thrive in Data Anonymization, you need expertise in data privacy principles, knowledge of statistical methods, and a background in computer science, information security, or related fields. Familiarity with tools like ARX, sdcMicro, and programming languages such as Python or R, as well as understanding of regulations like GDPR, is typically required. Strong analytical thinking, attention to detail, and effective communication skills set professionals apart in this field. These competencies are crucial for ensuring sensitive information is protected while maintaining data utility for analysis and compliance.
More about Data Anonymization jobs
What cities are hiring for Data Anonymization jobs? Cities with the most Data Anonymization job openings:
What states have the most Data Anonymization jobs? States with the most job openings for Data Anonymization jobs include:
What job categories do people searching Data Anonymization jobs look for? The top searched job categories for Data Anonymization jobs are:
Infographic showing various Data Anonymization job openings in the United States as of June 2026, with employment types broken down into 1% As Needed, 88% Full Time, and 11% Part Time. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $165,018 per year, or $79.3 per hour.

Head of Data Governance, Anonymization and Quality

Novartis

Cambridge, MA • Hybrid

$176K - $327K/yr

Full-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Novartis rating

7.4

Company rating: 7.4 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

53rd of 73 rated pharmaceutical


Job description

Job Description Summary

Location: Cambridge USA, #LI-Hybrid 3 days/week in office
This role is required to be in our Cambridge US office 3x/week.
Internal job title: Head of Data Governance, Anonymization and Quality, Data42
About the role:
Data42 is Novartis' enterprise data and AI platform, bringing together clinical, research, and real world data to power advanced analytics and accelerate the discovery and development of innovative medicines.
As part of the Data42 leadership team, the Head of Data Governance, Anonymization and Quality will establish and enforce data governance frameworks, standards, and controls to ensure data integrity, regulatory compliance, and the delivery of high-quality, trusted information across the organization. You are a driven, self-motivated leader, who will help us. In addition, the role is responsible for the anonymization of patient data to enable secondary research while safeguarding privacy and compliance requirements. This role acts as the Deputy EDO and co-leads the Biomedical Research (BR) Governance Board in partnership with the Head of Data / EDO to drive effective data governance and decision-making.


Job Description

Key Responsibilities:

  • Define and implement data governance policies and standards for BR, ensuring consistency, integrity, and compliance across the organization

  • Partner with the Head of Data and Platform to embed data governance principles into technology solutions, including "data governance as code"

  • Lead the anonymization of Novartis patient-level data to enable compliant secondary research useonData42

  • Collaborate closely with the Head of Data on enterprise data management (EDM) activities

  • Support the execution of theBR data strategybyensuring alignment with business anddata governancerequirements

  • Monitor and continuously improve data governance and data quality practices across BR, driving accountability and measurable outcomes

  • Ensure ongoing audit readiness bymaintainingrobust controls, documentation, and compliance processes

  • Serve as Deputy Enterprise Data Officer (EDO), providing leadership, guidance, and continuity in data governance and oversight activities

Essential Requirements:

  • 15+Years of experience inDataGovernanceor related field, with strong interest in Governance and Application of AI

  • PhD or MSc in Statistics, Bioinformatics, Computer Science, Biostatistics, or a related quantitative discipline or Bachelors degree.

  • Experience in drug discovery and/or life sciences, with an understanding of data-driven research environmentsand familiaritywith clinical dataandreal worlddata, paired with an advanced knowledge in bioinformatics, computer science, or related quantitative disciplines.

  • Solid understanding and practical application of Artificial Intelligence (AI) in a businessandscientific context, with provenexpertisein data analysis, data science, and deriving actionable insights from complex datasets.

  • Proven, drivenleader, with a strongtrack recordin leading and developing high-performingglobalteams

  • Extensive experience in defining and delivering enterprise data strategies aligned to business objectives

  • Track recordof driving innovation and embeddingnew technologiesor data-driven approaches at scale

  • Proven ability to excel in fast-paced environments, with a strong focus on execution and delivering results

  • Demonstrated ability tolead andcollaborate effectively across organizational boundaries.

  • Strong enterprise thinking mindset, particularly with Data Privacy and Enterprise Data Management (EDM) stakeholders

Desirable requirements:

  • Scientific background would be an advantage

  • Cybersecurity interestor experience, related to data security

  • Familiarity withPalantir Foundry

The salary for this position is expected to range between $176,400 and $327,600 per year.

The final salary offered is determined based on factors like, but not limited to, relevant skills and experience, and upon joining Novartis will be reviewed periodically. Novartis may change the published salary range based on company and market factors.

Your compensation will include a performance-based cash incentive and, depending on the level of the role, eligibility to be considered for annual equity awards.

US-based eligible employees will receive a comprehensive benefits package that includes health, life and disability benefits, a 401(k) with company contribution and match, and a variety of other benefits. In addition, employees are eligible for a generous time off package including vacation, personal days, holidays and other leaves.

To learn more about the culture, rewards and benefits we offer our people click here.


EEO Statement:

The Novartis Group of Companies are Equal Opportunity Employers. We do not discriminate in recruitment, hiring, training, promotion or other employment practices for reasons of race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, marital or veteran status, disability, or any other legally protected status.


Accessibility and reasonable accommodations

The Novartis Group of Companies are committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please send an e-mail to us.reasonableaccommodations@novartis.com or call +1(877)395-2339 and let us know the nature of your request and your contact information. Please include the job requisition number in your message.


Salary Range

$176,400.00 - $327,600.00


Skills Desired

Clinical Trials, Data Architecture Development, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Global Project Management, Operations, People Management