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Data Anonymization Jobs (NOW HIRING)

AIA INS Chief Architect

Sarasota, FL · On-site

$59.25 - $76.25/hr

Job summary Technologies: - Experience/Exposure with ILM TDM tools Data Governance Tracks : - Experience in Data privacy Data retention & Data Anonymization - Exposure to CCPA and other Privacy Acts ...

Implement GDPR/CCPA data anonymization logic, including right-to-be-forgotten workflows and compliant data handling for sensitive performance records. * Enforce Snowflake access policy governance ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

... data anonymization techniques. • Prior experience in modern software engineering practices, including MLOps and deployment techniques such as Blue-Green and Canary, to support A/B testing ...

Sensor Data Anonymization: Develop and optimize computer vision and ML pipelines to automatically detect and blur faces, license plates, and other PII from camera/Lidar data at the edge (on-vehicle ...

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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 7, 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.

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.

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 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 May 2026, with employment types broken down into 1% Internship, 6% As Needed, 87% Part Time, 4% Temporary, and 2% Nights. Highlights an 82% Physical, 9% Hybrid, and 9% 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 Group Companies

Cambridge, MA • Hybrid

$176K - $327K/yr

Other

Medical, Life, Retirement, PTO

Posted 15 days ago


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.

  • 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, Data Governance, Data Integration, Data Management, Data Products, Data Quality, Data Science, Data Strategy, Drug Development, Global Project Management, Operations, People Management