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Sr Director Data Analytics Jobs in Virginia (NOW HIRING)

... data analytics, cybersecurity, and other modern technologies to help federal agencies solve complex challenges and advance their missions. The Senior Director will provide the strategic leadership ...

Senior Director

Reston, VA · On-site

$135 - $200/hr

... data analytics, cybersecurity, and other modern technologies to help federal agencies solve complex challenges and advance their missions. The Senior Director will provide the strategic leadership ...

... data analytics, cybersecurity, and other modern technologies to help federal agencies solve complex challenges and advance their missions. The Senior Director will provide the strategic leadership ...

... data analytics, cybersecurity, and other modern technologies to help federal agencies solve complex challenges and advance their missions. The Senior Director will provide the strategic leadership ...

... data analytics, cybersecurity, and other modern technologies to help federal agencies solve complex challenges and advance their missions. The Senior Director will provide the strategic leadership ...

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Sr Director Data Analytics information

What does a Sr Director Data Analytics do?

A Sr Director of Data Analytics leads an organization's data analytics strategy and oversees large teams responsible for collecting, analyzing, and interpreting complex data to support business decision-making. They collaborate with other executives to align analytics initiatives with business goals, ensure data integrity, and implement advanced tools and technologies. This role involves managing budgets, mentoring analytics professionals, and communicating key insights to stakeholders to drive organizational success.

What are the key skills and qualifications needed to thrive as a Sr Director Data Analytics?

To thrive as a Sr Director Data Analytics, you need advanced expertise in data analysis, statistical modeling, and data strategy, typically supported by a degree in a quantitative field and significant leadership experience. Familiarity with data visualization tools (like Tableau or Power BI), analytics platforms (such as SQL, Python, R), and data governance frameworks is essential, along with certifications like Certified Analytics Professional (CAP) being advantageous. Strategic thinking, exceptional communication, and the ability to influence and lead cross-functional teams are vital soft skills. These capabilities ensure effective data-driven decision-making, foster innovation, and drive organizational success.

What are some common challenges faced by a Sr Director Data Analytics, and how can they be addressed?

A Sr Director of Data Analytics often faces challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and governance. Balancing the need for quick insights with rigorous data validation, as well as fostering a data-driven culture across departments, can be complex. These challenges can be addressed by establishing clear communication channels, setting robust data governance policies, and continuously upskilling the analytics team to adapt to evolving technologies and business needs.

What is the difference between Sr Director Data Analytics vs Data Analytics Manager?

AspectSr Director Data AnalyticsData Analytics Manager
ResponsibilitiesOversees multiple teams, sets strategic analytics goals, and influences company-wide data initiatives.Manages analytics projects, leads a team of analysts, and ensures project delivery.
Required CredentialsBachelor’s or Master’s in Data Science, Analytics, or related; extensive experience in data leadership roles.Bachelor’s or Master’s in relevant fields; experience in data analysis and team management.
Work EnvironmentStrategic, cross-departmental, executive-level collaboration.Operational, project-focused, team management within analytics teams.

The main difference between a Sr Director Data Analytics and a Data Analytics Manager lies in scope and strategic influence. The Sr Director typically oversees multiple teams, sets long-term data strategies, and works closely with executive leadership. In contrast, the Data Analytics Manager focuses on managing projects and day-to-day team operations. Both roles require strong analytical credentials, but the Sr Director’s role is more strategic and organization-wide.

What job categories do people searching Sr Director Data Analytics jobs in Virginia look for?

The top searched job categories for Sr Director Data Analytics jobs in Virginia are:

What cities in Virginia are hiring for Sr Director Data Analytics jobs?

Cities in Virginia with the most Sr Director Data Analytics job openings:

Infographic showing various Sr Director Data Analytics job openings in Virginia as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution.

Senior Director, Data & Analytics Engineering

Ashburn, VA • On-site

Full-time

Re-posted yesterday


Job description

As the Senior Director of Data & Analytics Engineering, you will serve as a senior technology leader responsible for defining and executing the enterprise vision, strategy, and operating model for data and analytics engineering across QTS. You will provide strategic leadership for the architecture, governance, scalability, and modernization of the enterprise data ecosystem, ensuring data becomes a foundational asset that accelerates business growth, operational excellence, and AI-driven innovation.

This role leads multiple teams and technical leaders responsible for building and operating modern, AI-enabled data platforms that power enterprise analytics, business operations, executive decision-making, and future digital capabilities. You will shape long-term data and AI investments, influence enterprise technology strategy, and partner closely with executive leaders across Product, Technology, Finance, Operations, and Business Functions to transform how data is sourced, governed, activated, and consumed across the organization.

As a key leader within the Enterprise Data & Analytics organization, you will establish strategic priorities, develop organizational capability, and champion modern engineering practices that position QTS to scale effectively while maximizing the value of data, analytics, and artificial intelligence.


What You Will Do: (Job Responsibilities)

  • Define and drive the long-term enterprise vision and strategy for data and analytics engineering, ensuring alignment with corporate growth objectives, digital transformation initiatives, and business strategy.
  • Serve as a trusted advisor to executive leadership, influencing enterprise decisions related to data, analytics, AI, governance, and technology investments.
  • Establish organizational priorities, operating models, and investment strategies that optimize platform scalability, business value delivery, and technology modernization.
  • Lead and develop a multi-layered organization of engineering managers, architects, and technical leaders, building leadership bench strength and succession plans for critical roles.
  • Design and evolve the organizational structure, talent strategy, and operating model required to support rapid business growth and emerging technology needs.
  • Manage departmental budgets, vendor relationships, and strategic technology investments to ensure effective allocation of resources and achieve business outcomes.
  • Drive enterprise-wide adoption of data products, governance standards, AI capabilities, and self-service analytics through partnership with senior business and technology leaders.
  • Establish and champion enterprise standards, architectural principles, and data governance frameworks that enable consistency, compliance, and scalability across business functions.
  • Represent the Data & Analytics function in executive forums, strategic planning sessions, and enterprise transformation initiatives.
  • Other duties as assigned.
  • Min. 11 years of experience in data engineering, analytics engineering, or data platform leadership, including 5+ years leading managers or senior technical teams.
  • 15+ years of progressive experience in data engineering, analytics engineering, data platforms, or enterprise technology leadership, including 8+ years leading managers, senior leaders, and large-scale engineering organizations.
  • Demonstrated success defining and executing enterprise-wide data, analytics, or digital transformation strategies across complex, rapidly scaling organizations.
  • Experience leading through multiple layers of leadership, including managers, senior managers, architects, and technical leads.
  • Proven ability to influence executive stakeholders and drive alignment across business, product, operations, and technology organizations.
  • Experience managing significant budgets, technology investments, vendor relationships, and strategic sourcing decisions.
  • Track record of building and scaling high-performing organizations while driving organizational change, capability development, and succession planning.
  • Experience presenting technology strategies, business cases, investment recommendations, and transformation roadmaps to executive leadership teams and Board-level audiences.
  • Deep expertise in architecting, scaling, and governing modern cloud-based data platforms, including data warehousing, ingestion, transformation, semantic modeling, and data product frameworks, with extensive experience leveraging technologies such as Snowflake, Fivetran, dbt, and contemporary ELT ecosystems.
  • Demonstrated expertise in modern streaming and near-real-time data architectures, including Kafka, CDC, and dynamic data processing patterns, with the ability to evaluate, prioritize, and implement solutions that enable business agility and data-driven decision-making.
  • Extensive experience with software engineering best practices and agile delivery (sprint planning, code review, testing, CI/CD, on-call, postmortems).
  • Strong understanding of enterprise analytics and data consumption strategies, including BI and visualization platforms such as Tableau, Looker, or similar tools, with the ability to influence stakeholders and align analytical capabilities to business objectives.

We conform to all the laws, statutes, and regulations concerning equal employment opportunities and affirmative action. We strongly encourage women, minorities, individuals with disabilities and veterans to apply to all of our job openings. We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation, gender identity, or national origin, age, disability status, Genetic Information & Testing, Family & Medical Leave, protected veteran status, or any other characteristic protected by law. We prohibit retaliation against individuals who bring forth any complaint, orally or in writing, to the employer or the government, or against any individuals who assist or participate in the investigation of any complaint or discrimination claim.

The "Know Your Rights" Poster is included here:

Know Your Rights (English)

Know Your Rights (Spanish)

The pay transparency policy is available here:

Pay Transparency Nondiscrimination Poster-Formatted

QTS is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process, please send an e-mail to talentacquisition@qtsdatacenters.com and let us know the nature of your request and your contact information.