1

Director Of Data Jobs in Silver Spring, MD (NOW HIRING)

They are seeking an Associate Director of Artificial Intelligence, Modeling, and Data to lead the strategic development and deployment of AI/ML solutions for federal health agencies, overseeing ...

Total Wine & More is seeking a Director of Data Science to join our Technology team in our Bethesda, MD office. This role will lead multiple data science team members with a significant portfolio of ...

Join9am, based in San Diego, is seeking a VP of Data to lead its data organization, enhancing chronic care delivery through strategic oversight and innovation in analytics and machine learning. This ...

VP of Data

Vienna, VA · On-site

$150 - $200/hr

... of the most direct levers we have on member outcomes, clinical decision-making, and how efficiently we operate. What makes the role unique is that the data function doesn't sit in isolation. It ...

Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR). You will ensure these systems adhere to ...

Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR). You will ensure these systems adhere to ...

Direct the design and implementation of high-throughput data pipelines capable of ingesting and analyzing petabyte-scale datasets (genomics, proteomics, EHR). You will ensure these systems adhere to ...

Showing results 21-40

Director Of Data information

See Silver Spring, MD salary details

$53.8K

$132.9K

$206.8K

How much do director of data jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director of data in Silver Spring, MD is $132,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,200.00 and $169,000.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director of data?

To thrive as a Director of Data, you need advanced expertise in data management, analytics, and strategy, typically supported by a degree in computer science, statistics, or a related field, along with leadership experience. Familiarity with data platforms (such as SQL, Hadoop, or cloud databases), analytics tools (like Tableau or Power BI), and relevant certifications (such as Certified Data Management Professional) is common. Exceptional communication, strategic thinking, and team leadership skills help drive data initiatives and foster cross-departmental collaboration. These skills are vital to ensure data-driven decision-making, organizational alignment, and the effective governance and utilization of data assets.

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

AspectDirector Of DataData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; extensive experienceBachelor's degree in related field; some roles may prefer certifications
Work EnvironmentLeadership role overseeing data teams and strategyHands-on analysis, reporting, and data visualization
Employer & Industry UsageUsed in organizations with large data teams across industriesCommon in business, marketing, finance sectors for data insights

The Director Of Data focuses on leading data strategy and managing teams, while Data Analysts perform detailed data analysis and reporting. Both roles require strong analytical skills, but the Director Of Data has a broader leadership and strategic focus.

How does a director of data typically collaborate with other departments to drive business objectives?

A Director of Data works closely with cross-functional teams, such as product, engineering, marketing, and operations, to ensure data-driven decision-making aligns with overall business goals. They often lead discussions to identify data needs, coordinate data collection strategies, and present actionable insights that inform strategic initiatives. Regular collaboration involves sharing data trends, setting data quality standards, and ensuring compliance with privacy regulations. This role requires balancing technical expertise with strong communication skills to bridge gaps between technical and non-technical stakeholders.
What job categories do people searching Director Of Data jobs in Silver Spring, MD look for? The top searched job categories for Director Of Data jobs in Silver Spring, MD are:
What cities near Silver Spring, MD are hiring for Director Of Data jobs? Cities near Silver Spring, MD with the most Director Of Data job openings:
Infographic showing various Director Of Data job openings in Silver Spring, MD as of August 2026, with employment types broken down into 100% Full Time. Highlights an 67% In-person, and 33% Remote job distribution, with an average salary of $132,867 per year, or $63.9 per hour.

Manager of Data Science

Cliftonlarsonallen

Arlington, VA • On-site

Full-time

Medical, Dental, Vision, Retirement

Re-posted 17 days ago


CliftonLarsonAllen rating

7.3

Company rating: 7.3 out of 10

Based on 27 frontline employees who took The Breakroom Quiz

20th of 22 rated bookkeepers and accountants


Job description

CLA is a top 10 national professional services firm where our purpose is to create opportunities every day, for our clients, our people, and our communities through industry-focused wealth advisory, digital, audit, tax, consulting, and outsourcing services. Even with more than 8,500 people, 130 U.S. locations, and a global reach, we promise to know you and help you.

CLA is dedicated to building a culture that invites different beliefs and perspectives to the table, so we can truly know and help our clients, communities, and each other.

CLA is looking to hire a Data Science Director to join our growing Internal IT team.

About the role:

CLA is looking to hire a Manger of Data Science

This role constructs complex solutions that integrate data wrangling, visualization, and advanced modeling techniques into a seamless workflow using software development best practices in R, Python, or other scripting languages. They are comfortable working with APIs, web scraping, and SQL/no-SQL databases. They automate business workflows while integrating stochastic/numeric algorithms in the process. This role will develop more autonomy to develop solutions and will lead others, take on administrative tasks, perform support roles, and get involved in new business development.

As Manager of Data Science, you will have to following responsibilities:

Leadership
  • Provide daytoday leadership, coaching, development, and performance management.
  • Mentor and guide analysts, supporting onboarding, skill development, and continuous learning across career stages.
  • Conduct workload planning, prioritization, and resource allocation to support multiple concurrent initiatives.
  • Build and sustain a highperforming team culture rooted in collaboration, quality, accountability, and innovation.

Technical Oversight

  • Lead and oversee large scale analytical and AI initiatives, including data acquisition, transformation, modeling, AI system development, automation, and insight generation.
  • Provide technical oversight and review of analytical approaches, models, and AI systems to ensure sound methodology, reproducibility, and scientific rigor.
  • Guide the development and application of advanced statistical, machine learning, and AI-driven solutions, including predictive models, computer vision, large language models (LLMs), and agent-based systems.
  • Lead the design and oversight of AI-enabled systems, including prompt engineering strategies, retrieval-augmented generation (RAG), embeddings, and agentic workflows.
  • Establish and evolve analytical and AI best practices, documentation standards, and technical frameworks across the team.
  • Ensure standards for model and AI system validation, monitoring, evaluation, documentation, and responsible AI use are consistently applied.
  • Partner with engineering, IT, and data platform teams to enable scalable, reliable, and well governed solutions.

Workflow Management

  • Own delivery outcomes for data science and AI workstreams, ensuring solutions meet quality, performance, and business expectations.
  • Translate business objectives into clear analytical and AI priorities, balancing near term delivery with long term capability building.
  • Oversee planning, prioritization, and resourcing across projects and teams.
  • Monitor solution performance, validation results, and model or AI system stability; guide troubleshooting of complex data, model, or AI issues.
  • Ensure solutions are productionized effectively, with clear ownership, monitoring, and integration into business workflows.
  • Establish, refine, and enforce standards for documentation, reproducibility, quality assurance, and governance.
  • Remove obstacles, manage risks, and ensure consistent execution across initiatives.

CrossFunctional Collaboration

  • Serve as a primary point of contact for business and functional leaders on analytics and AI initiatives.
  • Partner with stakeholders to define business questions, success metrics, analytical frameworks, and delivery expectations.
  • Coordinate work across teams, offices, and disciplines to ensure alignment of analytical and AI approaches and outcomes.
  • Communicate progress, risks, and results clearly to both technical and non technical audiences.
  • Evaluate and recommend adoption of new data sources, technologies, and analytical and AI tools.
  • Contribute to enterprise level analytics and AI strategy, including identifying high impact use cases and guiding their transition from concept to production.

What you will need:

8 years of relevant experience required.

  • Experience in data analytics, statistics, data science, AI, financial consulting, computer science or related field required.
  • Experience with APIs, web scraping, SQL/no-SQL databases, and cloud-based data solutions required.
  • Supervisory experience required.

Education

Bachelor's degree is required. Combination of relevant experience, education, and training may be accepted in lieu of degree.

  • Degree in Statistics, Computer Science, Economics, Analytics, Data Science (e.g., Informatics, Data Science, Health Data Science), AI, or related field preferred.
  • Masters in a Data Science/Analytics/AI is a plus

#LI-JH1


Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
Click here to learn about your hiring rights.


Wellness at CLA

To support our CLA family members, we focus on their physical, financial, social, and emotional well-being and offer comprehensive benefit options that include health, dental, vision, 401k and much more.


To view a complete list of benefits, click here.



What CliftonLarsonAllen employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom


CliftonLarsonAllen logo

About CliftonLarsonAllen

Sourced by ZipRecruiter

CliftonLarsonAllen (CLA) is a leading professional services company based in Minneapolis, MN, US. CLA operates in the accounting industry and offers a broad range of products and services such as wealth advisory, outsourcing, audit, tax, and consulting services. The company was founded in 1953 with a merger between two firms, Clifton Gunderson and LarsonAllen, in 2012. Working in accordance with their mission to create opportunities for clients, people, and communities, they have established a presence across the US, serving privately held businesses, non-profits, and governmental entities. Recognized for their contributions, CLA has received accolades such as the Innovative Firm of the Year award.

Industry

Accounting services

Company size

5,001 - 10,000 Employees

Headquarters location

Minneapolis, MN, US

Year founded

2012