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Data Privacy Manager Jobs in Virginia (NOW HIRING)

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Collaborate with senior data scientists, program analysts, project managers, and government ... Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

AITHERAS, LLC

Junior Data Scientist

Arlington, VA · On-site

$100K - $120K/yr

Collaborate with senior data scientists, program analysts, project managers, and government ... Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

JCTM, LLC

Data Science SME

Quantico, VA · On-site

$119K - $133K/yr

Strong understanding of data governance data security privacy principles and responsible data management. * Experience developing data pipelines analytical workflows and repeatable processes to ...

Surescripts

Senior Data Scientist

Arlington, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

Familiarity with responsible AI practices (privacy, security, data handling, model risk considerations, and controls for AI-generated code/content) in regulated environments. * Project management ...

Steampunk, Inc.

Data Governance Specialist

Mclean, VA · On-site

The role focuses on enabling effective data use through strong metadata management, data cataloging ... privacy, security, and access control concepts in cloud environments. • Experience with SQL or ...

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All JobsData Privacy JobsData Privacy Manager JobsData Privacy Manager Jobs in Virginia

Data Privacy Manager information

See Virginia salary details

$30.7K

$96.3K

$170.5K

How much do data privacy manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data privacy manager in Virginia is $96,311.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,400.00 and $124,400.00 per year, depending on experience, location, and employer.

How do you become a data privacy manager?

To become a data privacy manager, candidates typically need a bachelor's degree in fields like information technology, law, or cybersecurity, along with experience in data protection or compliance roles. Certifications such as CIPP (Certified Information Privacy Professional) or CIPM (Certified Information Privacy Manager) are often preferred. Strong knowledge of data privacy laws, risk management, and privacy tools is essential for success in this role.

What are the key skills and qualifications needed to thrive as a Data Privacy Manager?

To thrive as a Data Privacy Manager, you need a deep understanding of data protection laws (such as GDPR, CCPA), risk assessment, and information security principles, usually backed by a relevant degree and experience in data governance or compliance. Technical proficiency with data mapping, compliance management platforms, and certifications like CIPP or CIPM is often required. Strong communication, project management, and problem-solving skills help you effectively collaborate with stakeholders and lead regulatory initiatives. These competencies are essential to ensure organizational compliance, minimize legal risks, and build trust with clients and partners.

What does a Data Privacy Manager do?

A Data Privacy Manager is responsible for ensuring an organization complies with data protection regulations and best practices. They develop, implement, and oversee data privacy policies, conduct risk assessments, and work with legal and IT teams to safeguard sensitive information. Their role also includes training employees on data privacy, responding to data breaches, and staying updated on evolving privacy laws.

What are some typical challenges a Data Privacy Manager faces on the job?

Data Privacy Managers often encounter the challenge of keeping up with rapidly evolving privacy regulations and ensuring ongoing compliance across multiple jurisdictions. They must balance business needs with stringent privacy requirements, which can involve negotiating with various departments to implement necessary data protection measures. Additionally, responding to data breaches or privacy incidents quickly and effectively is a key part of the role. Overcoming these challenges requires strong attention to detail, ongoing training, and a collaborative approach to working with legal, IT, and business teams.

What are the most commonly searched types of Data Privacy jobs in Virginia?

The most popular types of Data Privacy jobs in Virginia are:

What are popular job titles related to Data Privacy Manager jobs in Virginia?

For Data Privacy Manager jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Data Privacy Manager jobs in Virginia look for?

The top searched job categories for Data Privacy Manager jobs in Virginia are:

What cities in Virginia are hiring for Data Privacy Manager jobs?

Cities in Virginia with the most Data Privacy Manager job openings:

Data Privacy Manager jobs near you
Infographic showing various Data Privacy Manager job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $96,311 per year, or $46.3 per hour.

Junior Data Scientist

AITHERAS, LLC

Arlington, VA • On-site

$100K - $120K/yr

Full-time

Re-posted 23 days ago

Job description

Junior Data Scientist / Performance Data Analyst I

Location: Washington, DC / Hybrid / Government Facility as Required
Clearance / Background: U.S. Citizen required; ability to obtain DOJ Public Trust and Secret clearance; active Secret preferred
Experience Level: 1–3 years

Role Summary

The Junior Data Scientist / Performance Data Analyst I supports a federal Management Information System program by helping collect, clean, validate, analyze, and visualize operational and performance data.

This role is ideal for an early-career data scientist with strong Python, R, SQL, Tableau, machine learning, NLP, and statistical analysis skills who is ready to progress from research, healthcare, or academic data work into federal mission analytics.

Key Responsibilities

  • Collect, clean, validate, and analyze structured and semi-structured program data.

  • Build SQL, Python, and R scripts to extract data, run calculations, automate recurring analysis, and reduce manual reporting effort.

  • Develop and maintain Tableau dashboards, visual reports, charts, and performance summaries.

  • Support data quality reviews by identifying anomalies, missing values, inconsistent records, and reporting defects.

  • Assist senior analysts with statistical modeling, machine learning, trend analysis, and performance measurement.

  • Translate complex datasets into clear summaries for non-technical stakeholders.

  • Document data sources, business rules, transformation logic, assumptions, and analytical methods.

  • Support recurring weekly, monthly, quarterly, and ad hoc reporting requirements.

  • Review model outputs and error patterns to recommend improvements to analytical workflows.

  • Collaborate with senior data scientists, program analysts, project managers, and government stakeholders.

Required Qualifications

  • Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Information Systems, Neuroscience, Public Health Analytics, or a related quantitative field.

  • 1–3 years of data science, data analytics, research analytics, BI, or machine learning project experience.

  • Hands-on Python experience using pandas, NumPy, scikit-learn, matplotlib, spaCy, Keras, or similar libraries.

  • R experience using tidyverse, tidymodels, ggplot2, Shiny, or equivalent packages.

  • SQL experience for querying, joining, filtering, and preparing datasets.

  • Tableau, Power BI, R Shiny, or similar dashboard/data visualization experience.

  • Experience with machine learning classification, NLP, model evaluation, or predictive analytics.

  • Ability to inspect model errors, validate outputs, and communicate improvement opportunities.

  • Strong Excel and Microsoft Office skills.

  • Ability to explain technical findings to non-technical stakeholders.

  • U.S. citizenship and ability to obtain required federal suitability/clearance.

Preferred Qualifications

  • Active Secret clearance or prior federal suitability.

  • Experience with federal, public sector, law enforcement, financial, healthcare, biomedical, or large statistical datasets.

  • Experience supporting performance metrics, KPI reporting, operational reporting, or program evaluation.

  • Experience building client-facing dashboards or interactive data applications.

  • Experience with BERT, NLP, unstructured text, topic segmentation, or terminology data.

  • Familiarity with data governance, data privacy, PII handling, CUI, or secure data environments.

  • AWS, Git, Jupyter Notebook, or cloud analytics exposure.

Tools / Technologies

Python, R, SQL, Tableau, Excel, Jupyter Notebook, Git, AWS, pandas, NumPy, scikit-learn, spaCy, Keras, tidyverse, tidymodels, ggplot2, Shiny, NLP, BERT, dashboards, data visualization, statistical modeling.

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