Data Science Director Jobs in Ohio
Data Science Director jobs in Ohio are in strong and steady demand, concentrated in financial services, healthcare, manufacturing, and insurance sectors that anchor the state's economy from Columbus to Cleveland to Cincinnati. The market supports openings at every level, from senior individual contributors moving into their first leadership role through seasoned directors overseeing enterprise-wide analytics teams. Major employers with deep Ohio roots including Nationwide, Progressive, and the Cleveland Clinic routinely hire data science directors, and the most sought-after specialties are machine learning strategy, predictive analytics for operations, and AI governance. Find a role that fits below and apply directly.
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Showing 5 of 12+ Data Science Director jobs
Work you'll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for:
- Designing and implementing AI/ML and data engineering solutions that support mission and business objectives
- Integrating data pipelines, platforms, and interfaces across cloud and on-premises environments
- Establishing data management, data quality, and governance processes to improve reliability and usability of data assets
- Supporting deployment, testing, sustainment, and performance optimization of AI/ML models and data solutions
- Collaborating with technical and functional stakeholders to translate requirements into scalable system designs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Active Secret Security Clearance
- 6+ years of experience in data engineering, data management, artificial intelligence, or machine learning implementation
- 3+ years of experience designing and integrating data pipelines, data platforms, or application interfaces
- 2+ years of experience supporting cloud-based or hybrid data and AI environments
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience supporting government technology programs
- 2+ years of experience with structured and unstructured data processing
- 2+ years of experience with model deployment, monitoring, or sustainment
- Experience with data quality, metadata management, or data governance implementation
- Experience with containerized deployment or orchestration technologies
- Experience supporting secure solution delivery in regulated environments
Work you'll do
As a Lead AI and Data Science Engineer II on the AI & Data team, you will be responsible for:
- Designing and implementing AI/ML and data engineering solutions that support mission and business objectives
- Integrating data pipelines, platforms, and interfaces across cloud and on-premises environments
- Establishing data management, data quality, and governance processes to improve reliability and usability of data assets
- Supporting deployment, testing, sustainment, and performance optimization of AI/ML models and data solutions
- Collaborating with technical and functional stakeholders to translate requirements into scalable system designs
A successful candidate would possess these skills:
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
- Ability to mentor and provide clear guidance to others
The team
Deloitte's Government & Public Services (GPS) practice - our people, ideas, technology and outcomes - is designed for impact. Serving federal, state, & local government clients as well as public higher education institutions, our team of professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
Qualifications
Required:
- Bachelor's degree
- Active Secret Security Clearance
- 6+ years of experience in data engineering, data management, artificial intelligence, or machine learning implementation
- 3+ years of experience designing and integrating data pipelines, data platforms, or application interfaces
- 2+ years of experience supporting cloud-based or hybrid data and AI environments
- Ability to travel 25%, on average, based on the work you do and the clients and industries/sectors you serve.
- Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Preferred:
- 2+ years of experience supporting government technology programs
- 2+ years of experience with structured and unstructured data processing
- 2+ years of experience with model deployment, monitoring, or sustainment
- Experience with data quality, metadata management, or data governance implementation
- Experience with containerized deployment or orchestration technologies
- Experience supporting secure solution delivery in regulated environments
See All 12 Data Science Director Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find Data Science Director JobsData Science Director Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Science Director Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring
What Ohio Employers Look For
The qualifications that appear most often in data science director jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, computer science, or a related field
- Seven or more years of experience in data science or analytics with at least three in a leadership role
- Proven ability to build, manage, and mentor data science teams of five or more people
- Deep proficiency in Python, R, SQL, and machine learning frameworks such as TensorFlow or PyTorch
- Experience translating complex analytical findings into strategic recommendations for executive stakeholders
- Familiarity with cloud data platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Science Director Jobs in Ohio: Frequently Asked Questions
How do you become a data science director in Ohio?
Data science director is not a state-licensed role in Ohio, so there is no required board exam or registration. The typical Ohio path starts with a bachelor's degree in a quantitative field, followed by progressive experience in analytics or data science roles. Most directors in Ohio hold a master's degree or have equivalent industry depth in sectors like insurance, healthcare, or manufacturing. Certifications in cloud platforms or machine learning strengthen a candidacy, but demonstrated leadership experience and a portfolio of business impact carry more weight with Ohio hiring managers.
How much do data science directors make in Ohio?
Data science directors in Ohio earn a median of about $102,630 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $61,710 for the lowest 10% to over $160,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire data science directors in Ohio?
Employers hiring data science directors in Ohio right now include JPMorganChase, MITRE, and Battelle, based on current listings on Migrate Mate as of October 2026. Ohio's dense concentration of Fortune 500 insurance and financial services headquarters, along with large health systems, means consistent and recurring demand for this role across the state.
Which Ohio cities have the most data science director jobs?
Columbus, Wright-Patterson AFB, and Mason account for the largest share of data science director openings in Ohio. Columbus leads because it is home to major insurance carriers, fintech firms, and the Nationwide and JPMorgan Chase operations that consistently build out analytics leadership, while Cleveland and Cincinnati draw demand from healthcare systems and consumer goods companies anchored in those metros.
Are there remote data science director jobs in Ohio?
Yes, and more than most fields. About 100% of data science director openings tied to Ohio are remote or hybrid as of October 2026, reflecting the largely desk-based and cloud-driven nature of the work. Strategic, model-development, and reporting responsibilities are the functions most frequently offered with location flexibility, while roles requiring close collaboration with on-site engineering or operations teams are more likely to expect in-person presence.
How can I get hired as a data science director in Ohio with little or no experience?
The most realistic entry path is moving into a lead or principal data scientist role at a mid-size Ohio employer first, building toward director responsibility from the inside. Large Ohio institutions such as the Cleveland Clinic, Nationwide, and Progressive run structured rotational or associate programs that place analytical talent on leadership tracks. Candidates from adjacent roles like senior analytics engineer, data engineering manager, or business intelligence lead are routinely considered. A strong project portfolio demonstrating cross-functional impact, combined with a master's degree or professional certification in machine learning, gives candidates the clearest edge in Ohio hiring conversations.
Where can I find and apply to data science director jobs in Ohio?
You can find and apply to data science director jobs in Ohio directly on Migrate Mate, which lists current Ohio openings updated in real time. Search the listings to find roles that match your experience and location, then apply directly to the ones that fit.
See All 12 Data Science Director Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
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