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Ai Data Analytics Jobs in Ohio (NOW HIRING)

AI, Data & Analytics Leadership * Develop and execute an enterprise-wide AI and data strategy that positions data as a strategic organizational asset. * Establish scalable data governance ...

Data & Analytics Enablement Analyst

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description The Data & Analytics Enablement CoE Specialist is responsible for designing, delivering ... Support colleagues in the responsible adoption of Generative AI in their workflows. Required ...

AI, Data & Analytics Leadership * Develop and execute an enterprise-wide AI and data strategy that positions data as a strategic organizational asset. * Establish scalable data governance ...

Data & Analytics Enablement Analyst

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Description The Data & Analytics Enablement CoE Specialist is responsible for designing, delivering ... Support colleagues in the responsible adoption of Generative AI in their workflows. Required ...

Financially strong - We make decisions for the long term. We analyze risk and implement smart ... AI, Data & Analytics Leadership: Develop and execute an enterprise‑wide AI and data strategy ...

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the ... analytics, measurement, and optimization programs. * Experience developing complex data strategies ...

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the ... analytics, measurement, and optimization programs. * Experience developing complex data strategies ...

Data & Analytics Enablement Analyst

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

The Data & Analytics Enablement CoE Specialist is responsible for designing, delivering, and ... Support colleagues in the responsible adoption of Generative AI in their workflows. Required ...

Showing results 21-40

Ai Data Analytics information

See Ohio salary details

$23

$52

$89

How much do ai data analytics jobs pay per hour?

As of Aug 19, 2026, the average hourly pay for ai data analytics in Ohio is $52.05, according to ZipRecruiter salary data. Most workers in this role earn between $41.83 and $58.94 per hour, depending on experience, location, and employer.

What is AI data analytics?

AI Data Analytics refers to the use of artificial intelligence technologies to analyze and interpret large volumes of data. By leveraging machine learning algorithms, natural language processing, and other AI methods, professionals in this field can uncover patterns, make predictions, and drive data-driven decision-making. AI Data Analytics is widely used across industries to optimize operations, improve customer experiences, and gain competitive insights. The role typically involves working with big data platforms, developing models, and communicating findings to stakeholders.

What skills and qualifications are needed to thrive as an AI data analyst?

To thrive as an AI Data Analyst, you need a strong background in statistics, data analysis, and machine learning, typically supported by a degree in computer science, mathematics, or a related field. Proficiency with tools such as Python, R, SQL, and data visualization platforms like Tableau, along with knowledge of AI frameworks such as TensorFlow or PyTorch, is essential. Strong problem-solving skills, attention to detail, and effective communication help you interpret complex data and present actionable insights to stakeholders. These skills are crucial for driving data-driven decision-making and maximizing the impact of AI initiatives within organizations.

How does an AI data analytics professional typically collaborate with cross-functional teams within an organization?

AI Data Analytics professionals frequently work alongside departments such as marketing, operations, IT, and product development to interpret complex datasets and provide actionable insights. Collaboration often involves translating business needs into data-driven solutions, communicating findings in accessible terms, and ensuring that analytics projects align with organizational goals. Effective teamwork and clear communication are crucial, as analytics professionals must bridge the gap between technical data analysis and practical business application.

What is the difference between Ai Data Analytics vs Data Scientist?

AspectAi Data AnalyticsData Scientist
Required CredentialsBachelor's in Data Science, Computer Science, or related fields; certifications in AI and data analyticsBachelor's or higher in Data Science, Statistics, Computer Science; advanced degrees preferred
Work EnvironmentTech companies, finance, healthcare; focus on AI-driven data analysisResearch labs, tech firms, finance; focus on data modeling and insights
Employer & Industry UsageUsed in industries leveraging AI for predictive analytics and automationUsed across industries for data modeling, predictive analytics, and research

Ai Data Analytics professionals focus on applying AI techniques to analyze data and develop automated solutions, while Data Scientists build models and interpret data to generate insights. Both roles require strong analytical skills and familiarity with data tools, but Ai Data Analytics emphasizes AI implementation, whereas Data Scientists focus on statistical modeling and research.

Is data analysis a good career with AI?

A career in AI Data Analytics is considered promising due to the increasing demand for data-driven decision making and AI integration across industries. Professionals in this field need strong skills in data manipulation, statistical analysis, and tools like Python or R. The role offers growth opportunities, competitive salaries, and the chance to work on innovative technologies.

What does an AI data analyst do?

An AI data analyst collects, processes, and analyzes large datasets to extract insights that inform business decisions. They use tools like Python, R, and machine learning algorithms to identify patterns and trends, often working closely with data engineers and data scientists to develop predictive models and automate data workflows.

What cities in Ohio are hiring for Ai Data Analytics jobs?

Cities in Ohio with the most Ai Data Analytics job openings:

Infographic showing various Ai Data Analytics job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 88% Full Time, 9% Part Time, and 2% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution, with an average salary of $108,259 per year, or $52 per hour.

Managed Services - Data, Analytics & AI - Manager

Pwc

Cincinnati, OH

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 8 days ago


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 76 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Managed Services

Management Level

Manager

Job Description & Summary

At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
Enhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member's unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.
Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:
Analyse and identify the linkages and interactions between the component parts of an entire system.
Take ownership of projects, ensuring their successful planning, budgeting, execution, and completion.
Partner with team leadership to ensure collective ownership of quality, timelines, and deliverables.
Develop skills outside your comfort zone, and encourage others to do the same.
Effectively mentor others.
Use the review of work as an opportunity to deepen the expertise of team members.
Address conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.
Uphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.
The Opportunity
As part of the Managed Services team, you will lead the end-to-end delivery of AI and machine learning services, driving innovation and operational excellence. As a Manager, you will motivate and inspire your team, oversee quality deliverables while fostering meaningful client relationships and navigating complex challenges. This role offers a unique chance to shape the future of AI solutions, collaborate with diverse teams, and enhance your leadership skills in a dynamic environment.
Responsibilities
- Oversee the thorough delivery of AI and machine learning projects
- Inspire and motivate team members to achieve excellence in their work
- Cultivate substantial relationships with clients to understand their needs
- Navigate and resolve complex challenges in project execution
- Collaborate with cross-functional teams to drive innovation
- Confirm quality outputs that meet client expectations
- Utilize data-driven insights to enhance service delivery
- Foster a culture of continuous improvement and learning within the team
What You Must Have
- Bachelor's Degree
- At least 6 years of experience
What Sets You Apart
- Demonstrating leadership in AI/ML service delivery
- Managing end-to-end AI/ML service operations
- Leading client discussions on AI pipeline operationalization
- Implementing monitoring for AI models in production
- Guiding junior team members in AI systems
- Collaborating with architects and engineers for compliance
- Driving development of reusable AI components
- Leading Data & Analytics project delivery
- Demonstrating experience with ITIL processes

Travel Requirements

Up to 60%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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