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Associate Data Manager Jobs in Washington (NOW HIRING)

Marriott

Senior Manager, Data Stewardship

Bethesda, MD · On-site +1

Job Summary The Senior Manager, Data Stewardship leads enterprisewide data stewardship initiatives ... We actively foster an environment where the unique backgrounds of our associates are valued and ...

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How much do associate data manager jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for associate data manager in Washington is $37.46, according to ZipRecruiter salary data. Most workers in this role earn between $27.79 and $44.38 per hour, depending on experience, location, and employer.

What is the salary of a data manager?

The salary of an associate data manager typically ranges from $50,000 to $80,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced professionals with certifications in data management tools can earn higher salaries.

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 jobs in the US pay 300,000 a year?

For an Associate Data Manager, earning $300,000 annually is uncommon; such high salaries are typically associated with executive roles, senior data leadership positions, or specialized consulting roles in large organizations. These roles often require extensive experience, advanced skills in data management tools, and sometimes certifications or advanced degrees.

What does an associate data manager do?

An associate data manager is responsible for collecting, organizing, and maintaining data within an organization. They often use database tools and software to ensure data accuracy, security, and accessibility, supporting data analysis and decision-making processes. This role typically requires attention to detail and familiarity with data management systems.

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.

Is 40 too late for data science?

For an Associate Data Manager or similar data-related roles, starting a career in data science at age 40 is feasible, especially with relevant skills like programming, statistics, and experience with tools such as SQL or Python. Many professionals transition into data science later in their careers, and continuous learning through online courses or certifications can support this shift.

What are some common challenges faced by Associate Data Managers 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? The most popular types of Data Manager jobs in Washington are:
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What job categories do people searching Associate Data Manager jobs in Washington look for? The top searched job categories for Associate Data Manager jobs in Washington are:
What cities in Washington are hiring for Associate Data Manager jobs? Cities in Washington with the most Associate Data Manager job openings:
Associate Data Manager jobs near you
Principal Associate, Data Scientist - Card Intelligence

Principal Associate, Data Scientist - Card Intelligence

Information Technology Senior Management Forum

Mclean, VA • On-site

$161K - $184K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Principal Associate, Data Scientist - Card Intelligence

Data is at the center of everything we do. As a startup, we disrupted the credit card industry by individually personalizing every credit card offer using statistical modeling and the relational database, cutting edge technology in 1988! Fast-forward a few years, and this little innovation and our passion for data has skyrocketed us to a Fortune 200 company and a leader in the world of data-driven decision-making.

As a Data Scientist at Capital One, you’ll be part of a team that’s leading the next wave of disruption at a whole new scale, using the latest in computing and machine learning technologies and operating across billions of customer records to unlock the big opportunities that help everyday people save money, time and agony in their financial lives.

Team Description

The US Card Data Science organization at Capital One leverages our massive wealth of customer data to drive business strategy and deliver world-class customer experiences. Our team builds and deploys sophisticated data science and machine learning models across the entire credit card lifecycle—including marketing, acquisitions, underwriting, and fraud prevention. In this role, you will turn complex insights into real-world impact, shaping financial products that serve and protect millions of cardholders daily.

In this role, you will:
  • Partner with a cross-functional team of data scientists, software engineers, and product managers to deliver a product customers love.
  • Leverage a broad stack of technologies—Python, Conda, AWS, H2O, Spark, and more—to reveal the insights hidden within huge volumes of numeric and textual data.
  • Build machine learning models through all phases of development, from design through training, evaluation, validation, and implementation.
  • Flex your interpersonal skills to translate the complexity of your work into tangible business goals.
The Ideal Candidate is:
  • Customer first. You love the process of analyzing and creating, but also share our passion to do the right thing. You know at the end of the day it’s about making the right decision for our customers.
  • Innovative. You continually research and evaluate emerging technologies. You stay current on published state-of-the-art methods, technologies, and applications and seek out opportunities to apply them.
  • Creative. You thrive on bringing definition to big, undefined problems. You love asking questions and pushing hard to find answers. You’re not afraid to share a new idea.
  • A leader. You challenge conventional thinking and work with stakeholders to identify and improve the status quo. You're passionate about talent development for your own team and beyond.
  • Technical. You’re comfortable with open-source languages and are passionate about developing further. You have hands-on experience developing data science solutions using open-source tools and cloud computing platforms.
  • Statistically-mindful. You’ve built models, validated them, and backtested them. You know how to interpret a confusion matrix or a ROC curve. You have experience with clustering, classification, sentiment analysis, time series, and deep learning.
  • A data guru. Big data doesn’t faze you. You have the skills to retrieve, combine, and analyze data from a variety of sources and structures. You know understanding the data is often the key to great data science.
Basic Qualifications:
  • Currently has, or is in the process of obtaining one of the following with an expectation that the required degree will be obtained on or before the scheduled start date:
    • A Bachelor's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) plus 5 years of experience performing data analytics
    • A Master's Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field) or an MBA with a quantitative concentration plus 3 years of experience performing data analytics
    • A PhD in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science, or a related quantitative field)
Preferred Qualifications:
  • Master’s Degree in STEM field (Science, Technology, Engineering, or Mathematics) plus 3 years of experience in data analytics, or PhD in STEM field (Science, Technology, Engineering, or Mathematics)
  • At least 1 year of experience working with AWS
  • At least 3 years’ experience in Python, Scala, or R
  • At least 3 years’ experience with machine learning
  • At least 3 years’ experience with SQL
Salary and Location

McLean, VA: $161,800 - $184,600
New York, NY: $176,500 - $201,400

Benefits

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well-being. Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

Equal Opportunity Employment

Capital One is an equal opportunity employer (EOE, including disability/vet) committed to non-discrimination in compliance with applicable federal, state, and local laws. Capital One promotes a drug-free workplace and will consider for employment qualified applicants with a criminal history in a manner consistent with the requirements of applicable laws regarding criminal background inquiries.

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