Data Science Manager Jobs in Ohio
Data Science Manager jobs in Ohio are in strong demand, concentrated in financial services, healthcare systems, retail analytics, and logistics technology, with openings at every level from team lead to senior director. Columbus, Cleveland, and Cincinnati are the primary hiring hubs, where employers like JPMorgan Chase, Nationwide Insurance, and Procter & Gamble consistently recruit data science managers. The most sought-after specialties in Ohio are machine learning engineering, predictive modeling for healthcare operations, and customer analytics. Find a role that fits below and apply directly.
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Job Description
Help shape how Chase improves product development productivity as AI transforms the way Product, Experience, Technology, and Data & Analytics teams work. You will lead a Strategic Insights team that rapidly tests hypotheses, identifies effective operating practices and AI-enabled workflows, and translates evidence into clear actions for Product Operations and Finance leaders.
As a Data Science Lead within Product, Experience, and Technology (PXT) Data and Analytics at JPMorganChase, you will lead high-velocity analysis of operating-model changes, product practices, and AI tools across the product development lifecycle. You will turn ambiguous productivity questions into decision-ready findings and recommendations, partner with execution teams to assign actions and timelines, and track adoption and outcomes.
Job responsibilities
Lead high-velocity, hypothesis-driven analysis of Product Operations and product development productivity
Turn ambiguous questions about operating models, workflows, and AI adoption into focused analytical plans and decision criteria
Assess how AI tools and ways of working affect delivery speed, quality, capacity, and value
Combine product, delivery, and AI adoption data with stakeholder context to identify actionable opportunities
Produce decision-ready briefs with clear findings, recommendations, owners, timelines, benefits, and guardrails
Partner across Product Operations, Product, Technology, and Finance to implement recommendations and track adoption and outcomes
Set standards for analytical quality, productivity measurement, executive communication, and responsible use of data and AI
Develop and manage a high-performing team and influence senior leaders with clear, practical insights
Required qualifications, capabilities and skills
Bachelor's degree in quantitative discipline and 5+ years of applied data science or analytics experience
Experience leading analytical work from problem framing through implementation and outcome measurement
Strong hypothesis development, experimental design, quantitative analysis, synthesis, and problem-solving skills
Proficiency with Python, SQL, large datasets, modern analytics platforms, and visualization tools
Understanding of product development workflows and productivity metrics, including cycle time, throughput, quality, capacity, and adoption
Ability to work at pace in ambiguous environments, balancing analytical rigor with practical decision-making
Proven ability to influence senior stakeholders, lead analytical talent, and translate complex findings into clear actions and measurable outcomes
Preferred qualifications, capabilities and skills
Experience building or leading a consulting-style strategic analytics or insights team
Experience in product operations, product management, technology delivery, organizational effectiveness, or financial services
Experience evaluating operating-model changes, workflow redesign, or enterprise productivity initiatives
Experience with experimentation, causal inference, forecasting, optimization, machine learning, or natural language processing
Experience evaluating or deploying Generative AI and agentic tools in operational workflows, including adoption, telemetry, quality, risk, cost, and value realization
Familiarity with product development lifecycle data and tools used to manage requirements, backlogs, dependencies, code, testing, and delivery
Demonstrated success creating executive briefs and operating mechanisms that drive decisions, ownership, adoption, and follow-through
Master's degree, MBA, PhD, or equivalent advanced degree
ABOUT US
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
ABOUT THE TEAM
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Find Data Science Manager JobsData Science Manager Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
Data Science Manager 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 manager jobs across Ohio.
- Bachelor's or master's degree in data science, statistics, computer science, or a related quantitative field
- Five or more years of hands-on data science experience, including at least two in a leadership role
- Proficiency in Python, R, and SQL with demonstrated experience deploying models to production
- Experience managing cross-functional data science or analytics teams across business units
- Strong background in machine learning, statistical modeling, and data pipeline architecture
- Familiarity with cloud platforms such as AWS, Azure, or Google Cloud in an enterprise environment
Data Science Manager Jobs in Ohio: Frequently Asked Questions
How do you become a data science manager in Ohio?
Data science manager roles in Ohio require a bachelor's degree at minimum, though most employers in Columbus, Cleveland, and Cincinnati prefer a master's in data science, statistics, or a related quantitative field. There is no state-issued license for this role in Ohio. Hiring managers typically expect several years of hands-on data science work before moving into management, along with demonstrated ability to lead technical teams and translate analytical findings into business decisions.
Which companies hire data science managers in Ohio?
Employers hiring data science managers in Ohio right now include Procter & Gamble, MITRE, and Battelle, based on current listings on Migrate Mate as of September 2026. Ohio's concentration of Fortune 500 headquarters, regional health systems, and major financial institutions means demand is consistent across multiple industries rather than confined to a single sector.
Which Ohio cities have the most data science manager jobs?
Wright-Patterson AFB, Mason, and Columbus have the most data science manager openings in Ohio. Columbus leads because of its dense cluster of financial services firms, insurance headquarters, and retail technology operations, while Cleveland's presence in healthcare analytics and manufacturing intelligence, and Cincinnati's strength in consumer goods and logistics, round out the distribution.
Are there remote data science manager jobs in Ohio?
Yes, and more than most fields. About 80% of data science manager openings tied to Ohio are remote or hybrid as of September 2026, reflecting how naturally the role translates to distributed collaboration. Strategic planning, model reviews, and stakeholder presentations are the portions most commonly handled remotely, while on-site presence is more expected when embedding with a product or operations team.
How can I get hired as a data science manager in Ohio with little or no experience?
The most realistic path is moving into a team lead role from a senior data scientist position, rather than applying to manager titles directly. Large Ohio employers like Nationwide Insurance, Progressive, and OhioHealth run internal advancement programs and sometimes hire data leads who can grow into management. Building a portfolio of end-to-end projects, contributing to open-source or academic partnerships through Ohio State University or Case Western Reserve University, and earning a certification in cloud-based ML platforms strengthens a candidate's profile considerably.
Where can I find and apply to data science manager jobs in Ohio?
You can find and apply to data science manager jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Search the listings for roles that match your experience level and target industry, then apply directly to the ones that fit.
See All 9 Data Science Manager Jobs in Ohio
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