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Director Of Data Operations Jobs in Reston, VA (NOW HIRING)

Transportation Reimbursement Account (TRN) The Director of Data Solutions is the senior technical ... Privacy, security & operational excellence * Partner with security/privacy to implement strong ...

Transportation Reimbursement Account (TRN) The Director of Data Solutions is the senior technical ... Privacy, security & operational excellence * Partner with security/privacy to implement strong ...

The Director of Data Solutions will lead technical delivery for data platforms and AI/ML solutions ... operational excellence: release management, observability, on-call/incident processes (as ...

Transportation Reimbursement Account (TRN) The Director of Data Solutions is the senior technical ... Privacy, security & operational excellence * Partner with security/privacy to implement strong ...

The Director of Data Solutions is responsible for leading the technical delivery of data platforms ... operational excellence: release management, observability, on-call/incident processes (as ...

Senior Data Operations Analyst

Reston, VA · On-site

$89K - $112K/yr

Onboarding, managing, analyzing, and validating the quality of data across multiple environments * Manage data applications across multiple platforms * Monitor day-to-day data operations and ...

Senior Data Operations Analyst

Reston, VA

$89K - $112K/yr

Onboarding, managing, analyzing, and validating the quality of data across multiple environments * Manage data applications across multiple platforms * Monitor day-to-day data operations and ...

Senior Data Operations Analyst

Reston, VA

$89K - $112K/yr

Onboarding, managing, analyzing, and validating the quality of data across multiple environments * Manage data applications across multiple platforms * Monitor day-to-day data operations and ...

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Director Of Data Operations information

See Reston, VA salary details

$54.1K

$133.7K

$208.1K

How much do director of data operations jobs pay per year?

As of Jun 12, 2026, the average yearly pay for director of data operations in Reston, VA is $133,712.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,800.00 and $170,100.00 per year, depending on experience, location, and employer.

How much should an operations director be paid?

The salary for a Director of Data Operations typically ranges from $100,000 to $180,000 annually, depending on factors such as industry, company size, location, and experience. Compensation may also include bonuses, stock options, and benefits, with higher salaries often associated with advanced skills in data management, analytics tools, and leadership experience.

What are the primary challenges faced by a Director of Data Operations, and how can they be addressed?

A Director of Data Operations often encounters challenges such as integrating data from diverse sources, ensuring data quality, and maintaining compliance with data governance standards. To address these, it's important to implement robust data management frameworks, foster collaboration between IT, analytics, and business teams, and stay current with evolving regulations. Building a skilled team and investing in automation tools can also streamline operations and enhance data reliability.

What are the key skills and qualifications needed to thrive as a Director Of Data Operations, and why are they important?

To thrive as a Director Of Data Operations, you need expertise in data management, analytics, and team leadership, often backed by a degree in computer science, information systems, or a related field. Familiarity with data warehousing solutions, ETL tools, cloud platforms, and industry certifications such as CDMP or PMP is highly beneficial. Strong communication, strategic thinking, and problem-solving skills set successful candidates apart in this leadership role. These skills ensure efficient data operations, drive business insights, and foster collaboration across technical and non-technical teams.

What jobs in the US pay 300,000 a year?

For a Director of Data Operations, annual salaries of $300,000 or more are typically found in senior-level roles within large organizations, especially those involving extensive data management, analytics, and leadership responsibilities. Compensation varies based on industry, experience, and location, with top-tier positions often including bonuses and stock options. High-paying roles in data and technology fields generally require advanced skills, certifications, and significant experience.

What is a director of data operations?

A director of data operations is a senior professional responsible for overseeing the management, quality, and security of an organization’s data. They develop data strategies, coordinate data teams, and ensure data processes support business goals, often utilizing tools like data management platforms and analytics software.

What jobs pay 500,000 a year in the US?

In the US, executive roles such as Chief Executive Officers, Chief Financial Officers, and other C-suite positions often have salaries exceeding $500,000 annually, especially in large corporations. High-level roles in investment banking, private equity, and specialized medical or legal fields can also reach or surpass this compensation level, often including bonuses, stock options, or profit sharing. These positions typically require extensive experience, advanced degrees, and leadership skills.

What is the difference between Director Of Data Operations vs Data Analyst?

AspectDirector Of Data OperationsData Analyst
Required CredentialsBachelor's or master's in data management, business, or related field; often certifications in data management or analyticsBachelor's degree in statistics, mathematics, or related field; certifications like Microsoft Excel, Tableau, or SQL
Work EnvironmentLeadership role overseeing data teams, strategic planning, and data infrastructure managementAnalyzing data sets, creating reports, and supporting decision-making through data insights
Employer & Industry UsageUsed in corporate, tech, and data-driven organizations to manage data operations at a high levelCommon in various industries for data analysis, reporting, and supporting business functions

The main difference is that the Director Of Data Operations oversees data management strategies and teams, focusing on high-level operations, while a Data Analyst primarily analyzes data to generate insights and reports. The roles complement each other but differ in scope and responsibilities.

What does a Director of Data Operations do?

A Director of Data Operations is responsible for overseeing the management, quality, and security of an organization's data assets. They lead teams that handle data governance, integration, and analytics, ensuring that data systems support business goals efficiently and securely. This role involves collaborating with IT, analytics, and business departments to develop data strategies, implement best practices, and maintain compliance with regulations. Additionally, they often drive initiatives to improve data accessibility and accuracy across the organization.
What are popular job titles related to Director Of Data Operations jobs in Reston, VA? For Director Of Data Operations jobs in Reston, VA, the most frequently searched job titles are:
What job categories do people searching Director Of Data Operations jobs in Reston, VA look for? The top searched job categories for Director Of Data Operations jobs in Reston, VA are:
What cities near Reston, VA are hiring for Director Of Data Operations jobs? Cities near Reston, VA with the most Director Of Data Operations job openings:
Infographic showing various Director Of Data Operations job openings in Reston, VA as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $133,712 per year, or $64.3 per hour.

Director of Data Solutions

Axle

Rockville, MD • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 9 days ago


Job description

(ID: 2026-1572)
Axle is a bioscience and information technology company that offers advancements in translational research, biomedical informatics, and data science applications to research centers and healthcare organizations nationally and abroad. With experts in biomedical science, software engineering, and program management, we focus on developing and applying research tools and techniques to empower decision-making and accelerate research discoveries. We work with some of the top research organizations and facilities in the country including multiple institutes at the National Institutes of Health (NIH).
Benefits We Offer:
  • 100% Medical, Dental & Vision Coverage for Employees
  • Paid Time Off and Paid Holidays
  • 401K match up to 5%
  • Educational Benefits for Career Growth
  • Employee Referral Bonus
  • Flexible Spending Accounts:
    • Healthcare (FSA)
    • Parking Reimbursement Account (PRK)
    • Dependent Care Assistant Program (DCAP)
    • Transportation Reimbursement Account (TRN)

The Director of Data Solutions is the senior technical delivery leader for data platforms, AI/ML solutions (including GenAI), and advanced modeling/simulation capabilities. This leader owns the "how and when" of building reusable, enterprise-grade capabilities that turn complex, multi-modal data into trusted products and measurable outcomes.
In practice, this role:
  • Sets technical strategy and reference architecture across modern data stacks and cloud environments.
  • Leads cross-functional teams (data engineering, ML engineering, applied science, software engineering) to ship and operate production systems.
  • Establishes an organization-wide modeling and simulation practice that ensures reproducibility, compute strategy, and strong quality standards.

KEY RESPONSIBILITIES
Technical strategy & architecture
  • Define reference architectures and technical standards for data/AI platforms (security, scalability, reliability, cost governance, developer experience).
  • Own platform modernization plans and technical debt reduction sequencing.
  • Make build/buy/partner decisions and establish patterns that can be reused across programs.
Interoperability, harmonization & data quality
  • Lead delivery of repeatable ingestion and transformation pipelines with testing, validation, and change control.
  • Own harmonization capabilities (terminology translation, unit normalization, episode building) as production services with documentation and quality dashboards.
  • Partner with governance and stakeholders to define "minimum acceptable quality" and publish transparent quality measures.
AI/ML and GenAI solution delivery
  • Lead delivery of production AI/ML solutions (NLP, CV, predictive models, representation learning) and deploy them with evaluation and monitoring.
  • Own GenAI patterns and platforms (RAG, agentic workflows, human-in-the-loop review, traceability, privacy safeguards) as reusable services.
  • Establish model lifecycle governance: approvals, audits (as needed), drift monitoring, incident response, and continuous improvement.
Real-world evidence enablement engines
  • Build reusable "engines" for RWE execution: cohorting/phenotyping pipelines, reproducible protocol templates, causal inference/target trial tooling patterns, and integration templates for multiple data sources.
  • Staff and support analysis pods for time-sensitive, high-stakes deliverables with rigorous QC and reproducibility practices.
Simulations & modeling practice leadership
  • Define the modeling/simulation practice charter: scope, service model, standards, compute strategy (HPC/cloud), and hiring/partnering plan.
  • Lead simulation/modeling teams directly or via domain SMEs; ensure reproducible workflows and high quality bars.
  • Identify and prioritize high-value hybrid ML+simulation opportunities.
Privacy, security & operational excellence
  • Partner with security/privacy to implement strong access controls, auditability, and (where needed) privacy-preserving approaches.
  • Establish operational excellence: release management, observability, on-call/incident processes (as appropriate), and runbooks.
People leadership & culture
  • Hire, grow, and retain a high-performing organization; create clear roles, career paths, and performance expectations.
  • Build a culture of "research-grade rigor + production-grade discipline," emphasizing accountability, documentation, and sustainability.

REQUIRED QUALIFICATIONS
  • 6+ years in data science, ML engineering, data platform engineering, applied research engineering, or closely related fields
  • 3+ years leading multi-disciplinary teams.
  • Demonstrated success delivering production data/AI platforms (not only analyses), including architecture, delivery planning, and operational ownership.
  • Strong familiarity with modern data stacks and cloud delivery (distributed compute, ETL/ELT, data quality tooling, MLOps/LLMOps concepts).
  • Ability to translate ambiguous stakeholder needs into shipped products and measurable outcomes.
  • Strong people leadership: recruiting, coaching, performance management, org design.
  • Comfort operating in regulated and high-governance environments (privacy, compliance, access control).

PREFERRED QUALIFICATIONS
  • Healthcare data platform experience, especially interoperability/harmonization at scale (OMOP/FHIR/PCORNet/CDISC) and clinical terminology systems.
  • Experience shipping GenAI solutions with governance (PII handling, traceability, human review, evaluation, monitoring).
  • Experience with privacy-preserving ML patterns (federated learning/inference) and/or sensitive data platforms.
  • Experience leading simulation/modeling initiatives (scientific computing, HPC workflows, domain simulations) and partnering effectively with scientific SMEs.
  • Track record of publications, open-source leadership, or scientific impact.

Disclaimer: The above description is meant to illustrate the general nature of work and level of effort being performed by individuals assigned to this position or job description. This is not restricted as a complete list of all skills, responsibilities, duties, and/or assignments required. Individuals may be required to perform duties outside of their position, job description or responsibilities as needed.
The diversity of Axle's employees is a tremendous asset. We are firmly committed to providing equal opportunity in all aspects of employment and will not tolerate any illegal discrimination or harassment based on age, race, gender, religion, national origin, disability, marital status, covered veteran status, sexual orientation, status with respect to public assistance, and other characteristics protected under state, federal, or local law and to deter those who aid, abet, or induce discrimination or coerce others to discriminate.
Accessibility: If you need an accommodation as part of the employment process please contact: careers@axleinfo.com
This role has a market-competitive salary with an anticipated base compensation range listed below. Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location.
#IND
Salary Range
$170,000-$210,000 USD