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Program Manager Data Analytics Jobs in Virginia (NOW HIRING)

Establish data governance policies, data quality standards, and lifecycle management processes ... Program Integration & Stakeholder Engagement * Work closely with engineering, intelligence, and ...

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Program Manager Data Analytics information

What is a program manager in data analytics?

A Program Manager in Data Analytics is responsible for overseeing and coordinating multiple data analytics projects or initiatives within an organization. They work closely with data analysts, data scientists, and other stakeholders to ensure that data-driven projects align with business objectives, are delivered on time, and produce actionable insights. Their role includes strategic planning, resource allocation, risk management, and communication between technical teams and business leaders. Program Managers help bridge the gap between technical execution and organizational goals, ensuring that data analytics initiatives deliver measurable value.

How does a program manager in data analytics typically collaborate with cross-functional teams?

As a Program Manager in Data Analytics, you will frequently work with data engineers, analysts, business stakeholders, and IT teams to drive analytics initiatives from conception to completion. This collaboration involves translating business objectives into technical requirements, ensuring clear communication between teams, and managing timelines and deliverables. Regular meetings, stakeholder updates, and agile project management practices are commonly used to keep everyone aligned and to adapt quickly to changing priorities. Building strong relationships across departments is essential for successfully delivering data-driven solutions.

What are the key skills and qualifications needed to thrive as a program manager in data analytics, and why are they important?

To thrive as a Program Manager in Data Analytics, you need strong project management skills, deep analytical expertise, and a background in statistics or computer science, often supported by a bachelor’s or master’s degree. Familiarity with analytics platforms (such as Tableau or Power BI), programming languages (like SQL or Python), and certifications like PMP or Agile are highly valuable. Exceptional communication, leadership, and stakeholder management skills help in aligning teams and translating complex data insights into actionable business strategies. These capabilities ensure successful delivery of analytics initiatives that drive informed decision-making and organizational growth.

What is the difference between Program Manager Data Analytics vs Data Analyst?

AspectProgram Manager Data AnalyticsData Analyst
CredentialsBachelor's or Master's in Business, Data Science, or related fields; certifications like PMP or CAPM beneficialBachelor's in Statistics, Data Science, or related fields; certifications like Microsoft Data Analyst Associate helpful
Work EnvironmentOversees multiple projects, collaborates with cross-functional teams, manages stakeholdersAnalyzes data sets, creates reports, supports decision-making within teams
Industry UsageCommon in tech, finance, healthcare, and large organizationsWidely used across industries for data interpretation and reporting

The Program Manager Data Analytics focuses on managing multiple analytics projects and coordinating teams, while Data Analysts primarily analyze data and generate reports. Both roles require strong analytical skills, but the Program Manager has broader responsibilities in project oversight and stakeholder management.

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

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

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

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

What cities in Virginia are hiring for Program Manager Data Analytics jobs?

Cities in Virginia with the most Program Manager Data Analytics job openings:

Infographic showing various Program Manager Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 72% Full Time, 24% Part Time, and 3% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution.

Senior Manager, Data Analysis - People Analytics

Capital One National Association

Mclean, VA • On-site

$200.70 - $229.10/hr

Other

Posted 4 days ago


Job description

Senior Manager, Data Analysis - People Analytics

At Capital One, data is at the center of everything we do. When we launched 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 Senior Manager on the People Strategy and Analytics (PS&A) team, you will head a high‑performing team of analysts focused on high‑impact talent acquisition initiatives, international strategy, and broad organizational mandates. In this critical role you will drive data democratization and robust self‑service capabilities through advanced reporting and analytics, serve as a trusted thought partner to senior leadership, and manage executive stakeholder relationships while leveraging cutting‑edge AI and automation frameworks to redefine our HR data capabilities. With a network of hundreds of Data Analysts, Quants, and Data Scientists, you will tackle challenging projects with an eye on the bottom line and a focus on work/life balance, working in a dynamic environment with plenty of opportunity for learning, growth, and realizing your full potential.

On a given day you will be:
  • Refining and evolving people analytics frameworks and data standards to ensure our analytics, metrics, and insights are accurate, compliant, and scalable.
  • Planning and executing high‑priority data projects, managing end‑to‑end deliverables for complex talent acquisition, international strategy, and broader PS&A initiatives.
  • Coaching, mentoring, and upskilling a talented team of PS&A analysts to foster a collaborative culture of technical excellence and professional growth.
  • Diagnosing complex data integrity and technical pipeline challenges, mitigating systemic workforce data risks while uncovering hidden operational opportunities.
  • Researching, identifying, and prototyping next‑generation AI and automation tools to keep our data and analytics infrastructure at the cutting edge.
  • Translating complex technical findings and analytics into clear, concise narratives, executive presentations, and data‑driven recommendations for senior leadership.

An ideal candidate will possess strong problem‑solving and conceptual thinking abilities in addition to communication, interpersonal and leadership skills. This position will be in a fast‑paced and entrepreneurial environment where you will be handling multiple concurrent projects while working independently and in teams.

Basic Qualifications
  • Currently holds, or is in the process of obtaining, a Bachelor’s Degree in a quantitative field (Statistics, Economics, Operations Research, Analytics, Mathematics, Computer Science or a related quantitative field) and has at least 7 years of experience performing data analytics; or holds, or is in the process of obtaining, a Master’s Degree and has at least 5 years of experience performing data analytics with an expectation that the required degree will be obtained on or before the scheduled start date.
  • At least 5 years of experience performing professional data analysis work.
  • At least 5 years of experience leading and developing with open‑source data technologies.
  • At least 2 years of experience managing people.
Preferred Qualifications
  • Master’s Degree or PhD in a Finance, Economics, Statistics, Mathematics, Industrial Engineering, Operations Research, or a related field.
  • At least 7 years of experience in statistical or econometrics hands‑on work.
  • At least 5 years of experience manipulating and performing analysis with large data sets.
  • At least 5 years of experience in the financial services industry.
  • At least 5 years of experience developing statistical or econometric models.
  • At least 5 years of experience validating statistical or econometric models.
  • At least 2 years of experience with data governance.
  • At least 2 years of experience with predictive analytics.
  • At least 1 year of experience utilizing AI platforms like Claude Code.
  • At least 2 years of experience with Human Resources or People Analytics.

Capital One will consider sponsoring a new qualified applicant for employment authorization for this position.

The minimum and maximum full‑time annual salaries for this role are listed below, by location.

McLean, VA: $200,700 - $229,100 for Sr. Data Analysis Manager

Richmond, VA: $182,500 - $208,300 for Sr. Data Analysis Manager

Capital One offers a comprehensive, competitive, and inclusive set of health, financial and other benefits that support your total well‑being.

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

Capital One does not provide, endorse, nor guarantee and is not liable for third‑party products, services, educational tools or other information available through this site.

Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC).

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