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Director Of Data Solutions Jobs (NOW HIRING)

Axle

Director of Data Solutions

Rockville, MD · On-site

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 ...

Elite TechSources

Director of Data & Insights

Dallas, TX · On-site +1

They architect and modernize secure, scalable solutions using cloud platforms and top engineering ... The Role Join our client as a Director of Data & Insights to be a pivotal member of the executive ...

Vervint

Director of Data Intelligence

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site +1

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies ...

Vervint

Director of Data Intelligence

Grand Rapids, MI · On-site

Director of Data Intelligence | Remote | Michigan or Minnesota Preferred Role Snapshot: * Set the ... Lead development and delivery of innovative Data and AI solutions, frameworks, and methodologies ...

TBK Bank, SSB

Director of Data Science

Dallas, TX · On-site

Director Of Data Science At Triumph, our vision is a world where freight transactions are accurate ... That's why we're looking for passionate, innovative, solutions-oriented people to join our team. We ...

RaceTrac

Director of Data Strategy

Atlanta, GA · On-site

Director, Data Strategy Role Summary The Director of Data Strategy shapes RaceTrac's enterprise-wide vision for how data is governed, managed, activated, and measured. This leader ensures that data ...

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Director Of Data Solutions information

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$52K

$128.5K

$200K

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

As of Sep 1, 2026, the average yearly pay for director of data solutions in the United States is $128,526.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,000.00 and $163,500.00 per year, depending on experience, location, and employer.

What does a director of data solutions do?

A Director of Data Solutions oversees the development and implementation of data strategies and solutions within an organization. They lead teams that design, build, and maintain data systems to support business goals, ensuring data quality, security, and accessibility. This role often collaborates with other departments to identify data needs, drive data-driven decision making, and manage large-scale data projects. Additionally, Directors of Data Solutions stay updated on industry trends and new technologies to keep the organization's data infrastructure competitive.

What are the key skills and qualifications needed to thrive as a director of data solutions, and why are they important?

To thrive as a Director Of Data Solutions, you need expertise in data architecture, analytics, and strategy, typically supported by a degree in computer science or a related field and extensive leadership experience. Familiarity with data platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop or Spark), and relevant certifications (e.g., Certified Data Management Professional) is important. Strong communication, strategic thinking, and stakeholder management skills help drive cross-functional initiatives and align data solutions with business goals. These capabilities ensure the effective delivery of scalable, secure, and value-driven data strategies that support organizational success.

How does a director of data solutions typically collaborate with other departments within an organization?

A Director of Data Solutions works closely with multiple departments, such as IT, business intelligence, marketing, and operations, to ensure data strategies align with overall business objectives. They facilitate cross-functional meetings to understand each department's data needs, oversee the integration of data platforms, and promote data-driven decision-making. Strong communication and leadership skills are essential, as this role often involves translating technical concepts for non-technical stakeholders and fostering a culture of collaboration and innovation.

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

AspectDirector Of Data SolutionsData Analyst
Required CredentialsBachelor's or Master's in Data Science, Computer Science, or related field; often requires experience in data architectureBachelor's degree in related field; certifications like Microsoft Excel, SQL, or Tableau are common
Work EnvironmentLeadership role overseeing data teams, strategic planning, and solution developmentAnalyzing data sets, creating reports, and supporting decision-making
Employer & Industry UsageUsed in tech, finance, healthcare, and large enterprises for data strategyCommon across industries for data reporting and insights

The Director Of Data Solutions focuses on leading data strategy and managing teams to develop comprehensive data solutions, while Data Analysts primarily analyze data and generate reports to support business decisions. The roles differ mainly in scope, responsibility, and seniority, but both require strong analytical skills and familiarity with data tools.

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Director Of Data Solutions jobs near you
Infographic showing various Director Of Data Solutions job openings in the United States as of August 2026, with employment types broken down into 87% Full Time, 8% Part Time, and 5% Contract. Highlights an 79% Physical, 3% Hybrid, and 18% Remote job distribution, with an average salary of $128,526 per year, or $61.8 per hour.

Director of Data Solutions

Rockville, MD • On-site

Axle
See more jobs at Axleexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 6 hours 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

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