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Associate Data Manager Jobs in Washington, DC (NOW HIRING)

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Associate Data Manager information

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$16

$37

$63

How much do associate data manager jobs pay per hour?

As of Aug 17, 2026, the average hourly pay for associate data manager in Washington, DC is $37.45, according to ZipRecruiter salary data. Most workers in this role earn between $27.74 and $44.38 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an associate data manager, and why are they important?

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

What is the difference between Associate Data Manager vs Data Analyst?

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

What are some common challenges faced by an associate data manager when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.

What are the most commonly searched types of Data Manager jobs in Washington, DC?

The most popular types of Data Manager jobs in Washington, DC are:

What are popular job titles related to Associate Data Manager jobs in Washington, DC?

For Associate Data Manager jobs in Washington, DC, the most frequently searched job titles are:

What job categories do people searching Associate Data Manager jobs in Washington, DC look for?

The top searched job categories for Associate Data Manager jobs in Washington, DC are:

Associate Data Manager jobs near you
Infographic showing various Associate Data Manager job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 12% Part Time, and 2% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution, with an average salary of $77,888 per year, or $37.4 per hour.

Data Products Associate Manager

Accenture Federal Services

Arlington, VA

Full-time

Re-posted 2 days ago

Accenture Federal Services rating

8.7

Company rating: 8.7 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

47th of 492 rated business services

Job description

As the Data Governance Manager for Data Products, you will be a hands-on leader responsible for ensuring that all data assets on a data platform are trusted, discoverable, and governed. You will be the subject matter expert on the team that handles the critical "last mile" of the data lifecycle. Your mission is to implement the policies and automated processes that embed governance directly into our data products, making them reliable and ready for mission use.

Responsibilities:

  • Drive the implementation of data governance and data management policies across all data products.
  • Oversee the day-to-day management of the enterprise data catalog (e.g., Collibra, Atlas), ensuring all data products are accurately registered with complete metadata and lineage.
  • Define, implement, and monitor data quality rules and metrics for data products, ensuring they meet established Service Level Agreements (SLAs).
  • Collaborate with data pipeline teams to ensure "governance is baked in" from the start of the development lifecycle.
  • Act as a key point of contact for data stewards and data consumers, helping to resolve data quality issues and improve data literacy.
  • Mentor junior analysts on data governance principles, data quality best practices, and catalog management.
  • Develop and maintain documentation for data standards, governance processes, and data product specifications.

Must have: 

  • 5+ years of experience in data governance, data management, or data quality assurance.
  • Proven, hands-on experience with enterprise data cataloging and governance platforms (e.g., Collibra, Alation, Atlas, Purview).
  • Deep understanding of data governance frameworks, metadata management, and data quality principles.
  • Strong proficiency in SQL for data analysis and validation.
  • Experience leading small teams or mentoring junior staff in a technical environment.
  • US Citizenship (No Dual Citizenship). 

Nice to have:

  • Experience working in high-security DoD environments (e.g., SIPR, JWICS).
  • Familiarity with data quality tools like Great Expectations.
  • Proficiency with Python for automation and data analysis.
  • Experience working on a data platform built on Databricks or Snowflake.
  • Certified Data Management Professional (CDMP) or similar certification.

Security Clearance:

  • Active TS or TS/SCI clearance

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