AI Data Engineer Jobs in Ohio
AI Data Engineer jobs in Ohio are in strong and growing demand, with concentrated hiring in financial services, healthcare, manufacturing technology, and logistics across a seniority range from entry-level data associates through senior and principal engineers. Columbus, Cleveland, and Cincinnati anchor most of the hiring, where established employers like Nationwide Insurance, KeyBank, and Procter & Gamble maintain substantial data and analytics teams. The most sought-after specialties in Ohio right now are real-time data pipeline development, MLOps infrastructure, and cloud-native data platform engineering on AWS and Azure. Find a role that fits below and apply directly.
Find AI Data Engineer JobsOverview
Showing 5 of 24+ AI Data Engineer jobs











Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth, and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 774,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, AI and data with unmatched industry experience, functional expertise, and global delivery capability. We are uniquely able to deliver tangible outcomes because of our broad range of services, solutions and assets across Consulting, Strategy, Technology, Operations, Industry X and Song. These capabilities, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners, and communities. Visit us at accenture.com.
In Consulting, we work with C-suite executives, leaders and boards of the world's leading organizations, helping them reinvent every part of their enterprise to drive greater growth, enhance competitiveness, implement operational improvements, reduce cost, deliver sustainable 360° stakeholder value, and set a new performance frontier for themselves and the industry in which they operate.
Our AI and Data Strategy practitioners focused on Finance Transformation sit at the intersection of Finance functional expertise and applied AI. We are looking for practitioners who don't just advise on AI and data in the abstract — we need people who deeply understand how Finance functions operate, where the friction lives, and how to engineer smarter solutions using AI and data to fundamentally transform Finance processes. This is not a generalist role. Our clients need advisors who can credibly engage with a CFO, understand their FP&A cycle or Controllership challenges, and translate that into a concrete AI-enabled transformation roadmap.
As an AI & Data Strategy Senior Manager focused on CFO & Enterprise Value, you will:
Lead Finance-specific AI strategy engagements — define a compelling vision for how data and AI can reinvent core Finance functions including FP&A, Controllership, Financial Close, Treasury, and Tax.
Apply an engineering problem-solving mindset — creatively identify where AI, automation, and data solutions can eliminate friction, reduce manual effort, and generate new insight within Finance processes.
Conduct Finance AI and Data Assessments — evaluate the maturity of a client's Finance data assets, technology stack, and AI readiness to identify highest-value transformation opportunities.
Design Finance Process Reinvention — map current Finance processes, identify AI intervention points, and develop future-state process designs that embed intelligence at their core.
Develop Finance AI Functional Designs — translate Finance process requirements into AI solution designs, working closely with technology and data engineering teams to ensure buildability and fit.
Build the business case and roadmap — create investment profiles, value models, and sequenced roadmaps to deliver Finance AI transformations with measurable ROI.
Shape AI Operating Model design — define the people, processes, governance, and technology structures needed to sustain AI-enabled Finance operations.
Infuse Responsible AI — embed ethical AI principles into Finance AI strategy and solution design, ensuring auditability, explainability, and compliance with Finance regulatory requirements.
Build trusted client relationships — serve as a credible advisor to CFOs and Finance leadership, combining Finance domain fluency with hands-on AI and data expertise.
Originate and shape new opportunities — lead go-to-market activities, develop points of view, and drive the full sales cycle for Finance AI & Data engagements.
Ability to travel up to 80%; travel as needed based on client expectations.
Here’s What You Need:
Bachelor's Degree
7+ years of experience in Finance functional roles or Finance transformation consulting — you have direct, hands-on experience working within or transforming Finance functions (FP&A, Controllership, Financial Close, Treasury, or Tax)
7+ years of AI & Data experience — including solutioning, designing, or delivering AI & Data projects, with demonstrated application to Finance use cases
7+ years of high-value consulting experience, including large-scale delivery with minimal oversight and proven ability to lead workstreams and meet deadlines
2+ years in AI & Data delivery specifically within finance space
Demonstrable experience with one or more of the following in a Finance context:
Finance AI Strategy & Business Case development
Finance Data Assessment
Finance AI Technology Assessment
Finance Process Reinvention
Finance Process AI Functional Design
AI Operating Model Design for Finance functions
Experience leading senior-level (C-suite or C-level minus 1) conversations, including with CFOs and Finance leadership
Engineering problem-solver mindset — ability to apply technology creatively to complex Finance business problems
Strong program management and communication skills, both verbal and written
Driven and entrepreneurial: ability to originate and shape new deals and lead go-to-market activities
Excellent leadership and people skills: proven ability to build effective teams, foster collaboration and inclusion, and build strong client relationships
Fluent in English (both spoken and written)
Nice to Have:
Master's degree in a relevant field (Finance, Data Science, Computer Science, Business, or related)
Experience with Finance AI platforms and tools (e.g., Anaplan, OneStream, SAP, Oracle EPM, Workiva, or AI-native Finance tools)
Familiarity with Finance regulatory and compliance frameworks relevant to AI (SOX, IFRS, GAAP)
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below. We anticipate this job posting will be posted until 10/27/2026. Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range California $132,500 to $338,300 Colorado $132,500 to $292,200 Connecticut $132,500 to $292,200 District of Columbia $141,100 to $311,200 Illinois $122,700 to $292,200 Maine $112,900 to $249,000 Maryland $132,500 to $292,200 Massachusetts $132,500 to $311,200 Minnesota $132,500 to $292,200 New York $122,700 to $338,300 New Jersey $141,100 to $338,300 Ohio $122,700 to $270,600 Virginia $122,700 to $311,200 Washington $141,100 to $311,200Requesting an Accommodation
Accenture is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired.
If you would like to be considered for employment opportunities with Accenture and have accommodation needs such as for a disability or religious observance, please call us toll free at 1 (877) 889-9009 or send us an email or speak with your recruiter.
Equal Employment Opportunity Statement
We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.
For details, view a copy of the Accenture Equal Opportunity Statement
Accenture is an EEO and Affirmative Action Employer of Veterans/Individuals with Disabilities.
Accenture is committed to providing veteran employment opportunities to our service men and women.
Other Employment Statements
Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States.
Candidates who are currently employed by a client of Accenture or an affiliated Accenture business may not be eligible for consideration.
Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Further, at Accenture a criminal conviction history is not an absolute bar to employment.
The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information.
California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.
Please read Accenture’s Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process.
See All 24 AI Data Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI Data Engineer JobsAI Data Engineer Jobs by City in Ohio
Where Ohio roles are concentrated, by current openings.
AI Data Engineer Job Market in Ohio
A snapshot from current Ohio openings, updated as new roles post.
Who's Hiring



Top Industries Hiring
- Technology & Software
- Banking & Financial Services
What Ohio Employers Look For
The qualifications that appear most often in AI data engineer jobs across Ohio.
- Bachelor's or master's degree in computer science, data engineering, or a related technical field
- Proficiency in Python and SQL with hands-on experience building production data pipelines
- Experience with cloud data platforms such as AWS, Azure, or Google Cloud
- Familiarity with machine learning frameworks and model deployment workflows in enterprise environments
- Experience with orchestration tools such as Apache Airflow, dbt, or equivalent pipeline management systems
- Strong communication skills to collaborate with data scientists, analysts, and business stakeholders
AI Data Engineer Jobs in Ohio: Frequently Asked Questions
How do you become a ai data engineer in Ohio?
There is no state-issued license required to work as an ai data engineer in Ohio. The typical path is a bachelor's degree in computer science, data science, or a related field, followed by hands-on experience with cloud platforms and data pipeline tools. Ohio universities including Ohio State, Case Western Reserve, and the University of Cincinnati offer relevant programs. Earning cloud certifications from AWS or Microsoft Azure strengthens a candidate's profile with most Ohio employers.
How much do AI data engineers make in Ohio?
AI data engineers 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 ai data engineers in Ohio?
Employers hiring ai data engineers in Ohio right now include Accenture, JPMorganChase, and Procter & Gamble, based on current listings on Migrate Mate as of September 2026. Ohio's mix of Fortune 500 headquarters, large regional banks, and major health systems means demand stays consistent across multiple industries rather than depending on a single sector.
Which Ohio cities have the most ai data engineer jobs?
Columbus, Cincinnati, and Cleveland have the most ai data engineer openings in Ohio. Columbus leads as the state capital and home to major insurance, fintech, and retail headquarters, while Cleveland's concentration of health systems and financial institutions drives strong demand, and Cincinnati benefits from large consumer goods and logistics employers anchored by companies like Procter & Gamble and Kroger.
Are there remote ai data engineer jobs in Ohio?
Yes, and more than most fields. About 57% of ai data engineer openings tied to Ohio are remote or hybrid as of September 2026, reflecting how much of the work involves code, cloud infrastructure, and data systems that don't require physical presence. Pipeline development, model monitoring, and platform engineering roles are the most consistently offered in remote or hybrid formats.
How can I get hired as a ai data engineer in Ohio with little or no experience?
The most realistic entry path is targeting associate or junior data engineer roles at Ohio's large financial and healthcare employers, who regularly hire new graduates from Ohio State, Case Western Reserve, and University of Dayton into rotational analyst or data operations programs. Building a portfolio of end-to-end pipeline projects on GitHub and earning an AWS Cloud Practitioner or Azure Data Fundamentals certification meaningfully improves competitiveness. Adjacent roles like data analyst, BI developer, or data operations specialist at Ohio companies also serve as common stepping stones into engineering positions.
Where can I find and apply to ai data engineer jobs in Ohio?
You can find and apply to ai data engineer jobs in Ohio on Migrate Mate, which lists current Ohio openings updated regularly. Search the listings for roles that match your experience and location, then apply directly to the ones that fit.
See All 24 AI Data Engineer Jobs in Ohio
Find roles in Ohio that match your experience and apply in just a few clicks.
Find AI Data Engineer Jobs