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Ai In Finance Jobs in Ohio (NOW HIRING)

$120 - $150/hr

Head of Finance Automation/ AI Agentification Finance at Rohlik is being rebuilt to run on AI ... We already have agents in production that chase overdue payments, process invoices, allocate cash ...

The Senior Finance Director, FP&A is the VP of Finance's primary partner in leading the enterprise ... AI-enabled process. The contract portfolio's natural rhythm - ~two-thirds stable, one-third in ...

The Senior Finance Director, FP&A is the VP of Finance's primary partner in leading the enterprise ... AI-enabled process. The contract portfolio's natural rhythm - ~two-thirds stable, one-third in ...

The Senior Finance Director, FP&A is the VP of Finance's primary partner in leading the enterprise ... AI-enabled process. The contract portfolio's natural rhythm - ~two-thirds stable, one-third in ...

Why join us? ----- As a Debt Finance Lawyer / Mergers & Acquisitions Lawyer in our firm, we are ... By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails ...

Showing results 21-40

Ai In Finance information

See Ohio salary details

$23.8K

$88.1K

$128.8K

How much do ai in finance jobs pay per year?

As of Aug 14, 2026, the average yearly pay for ai in finance in Ohio is $88,064.00, according to ZipRecruiter salary data. Most workers in this role earn between $71,300.00 and $103,600.00 per year, depending on experience, location, and employer.

What is the difference between Ai In Finance vs Data Analyst in Finance?

AspectAi In FinanceData Analyst in Finance
Required CredentialsDegree in Finance, Computer Science, or related fields; knowledge of AI and machine learningDegree in Finance, Statistics, or related fields; proficiency in data analysis tools
Work EnvironmentTech-driven finance teams, AI development labs, financial institutionsFinancial firms, banks, investment companies, data analysis departments
Employer & Industry UsageFinancial technology companies, banks integrating AI solutionsFinancial services firms analyzing market data, risk, and client information

Ai In Finance focuses on developing and implementing AI solutions within finance, requiring technical and financial expertise. Data Analysts in Finance interpret financial data to support decision-making. While both roles work with financial data, Ai In Finance emphasizes AI development, whereas Data Analysts focus on data interpretation and reporting.

How do professionals in AI in finance typically collaborate with other departments within a financial institution?

Professionals working in AI in Finance often collaborate closely with teams such as risk management, compliance, and data engineering. They work together to define business requirements, ensure the quality and security of financial data, and interpret AI models’ results for practical decision-making. Effective communication is key, as AI specialists must translate complex technical findings into actionable insights for non-technical stakeholders. This collaborative environment fosters innovation and helps drive solutions that align with both regulatory standards and business goals.

What is AI in finance?

AI in finance refers to the use of artificial intelligence technologies and machine learning algorithms to automate, enhance, and optimize various financial services and processes. This includes applications such as fraud detection, algorithmic trading, credit risk assessment, customer service chatbots, and personalized financial advice. By leveraging large datasets and advanced analytics, AI can improve decision-making, reduce operational costs, and deliver more accurate and timely financial insights. Many financial institutions are increasingly adopting AI to stay competitive and comply with regulatory requirements.

What are the key skills and qualifications needed to thrive as an AI professional in finance?

To thrive as an AI professional in Finance, you need a strong background in data science, machine learning, quantitative analysis, and finance, often supported by degrees in computer science, mathematics, or finance. Familiarity with programming languages like Python or R, experience with AI/ML frameworks (such as TensorFlow or PyTorch), and understanding of financial systems or regulatory standards are typically required. Strong analytical thinking, attention to detail, and effective communication skills set top performers apart in this field. These skills are vital for developing robust AI solutions that drive financial insights, improve decision-making, and ensure regulatory compliance.

What are popular job titles related to Ai In Finance jobs in Ohio?

For Ai In Finance jobs in Ohio, the most frequently searched job titles are:

What cities in Ohio are hiring for Ai In Finance jobs?

Cities in Ohio with the most Ai In Finance job openings:

Infographic showing various Ai In Finance job openings in Ohio as of August 2026, with employment types broken down into 78% Full Time, 16% Part Time, and 6% Contract. Highlights an 67% Physical, 4% Hybrid, and 29% Remote job distribution, with an average salary of $88,064 per year, or $42.3 per hour.

Finance Transformation Specialist

Timken

North Canton, OH • On-site

Full-time

Posted 22 days ago


Timken rating

7.3

Company rating: 7.3 out of 10

Based on 82 frontline employees who took The Breakroom Quiz

307th of 489 rated machine equipment manufacturers


Job description

What Timken makes possible begins with you.
Those who came before us helped land a man on the moon, create the world's infrastructure, and introduce renewable energy alternatives. Now you can join the Timken team to write your own unique story and help drive what's next.

A career at Timken means you can have an immediate impact doing Work That Matters to the world- improving the efficiency of today's industrial equipment and preparing for the future of motion on our planet and beyond. New employees can start contributing right away, and there are many opportunities to advance your career at your own pace. Join our global team of 19,000 people in 45 countries, and start helping our customers push the limits of what's possible in their world of motion.

Purpose:

The Finance Transformation Specialist advances the global Finance organization's transformation strategy by connecting finance processes, data, systems, and technology. This role partners with Finance, IT, and business stakeholders to identify improvement opportunities, define business and data requirements, and deliver scalable analytics, automation, and technology-enabled solutions that improve decision-making, efficiency, governance, and business insight.

Essential Responsibilities: 

Technology Strategy

  • Partner with Finance leadership to identify and implement process improvement, automation, and digital transformation opportunities that improve efficiency, controls, and business outcomes.
  • Lead project workstreams and support enterprise initiatives involving ERP, consolidation, planning, reporting, and finance technologies.
  • Identify and implement opportunities to leverage AI, advanced analytics, and emerging technologies to improve business processes, decision making, and financial insights. 

Data & Technology Enablement

  • Partner with Finance, IT, and data teams to define finance data requirements, business data models, and reporting structures that support planning, forecasting, reporting, and analytics.
  • Collaborate with IT and automation teams to deliver scalable reporting, analytics, and technology solutions that improve data accessibility, governance, quality, consistency and decision making.

Project Management & Stakeholder Engagement

  • Lead project workstreams and collaborate with Finance, IT, and business stakeholders to deliver strategic transformation initiatives.
  • Manage project scope, deliverables, timelines, risks, dependencies, and stakeholder communications.
  • Facilitate workshops and requirements gathering sessions to document business needs, define future-state processes, and develop business requirements.

Center of Excellence

  • Promote knowledge sharing, continuous improvement, and adoption of emerging technologies across the Finance organization.
  • Serve as a trusted advisor on finance systems, analytics, data management, automation, AI, and transformation best practices.
  • Support change management, training, and adoption activities associated with new processes, systems, and technologies.

Technical/Functional Skills:

Required:

  • Experience working with ERP, financial consolidation, planning, reporting, or finance systems; examples may include SAP, OneStream, Blackline, Power BI, or similar platforms.
  • Strong understanding of finance processes, data flows, reporting requirements, and system-enabled process improvement.
  • Ability to translate business needs into clear requirements for data, analytics, reporting automation, and technology solutions.
  • Experience analyzing and leveraging data from multiple business systems to support reporting, planning, forecasting, and decision making.
  • Ability to lead workstreams or cross-functional initiatives involving Finance, IT, and business stakeholders.
  • Strong analytical, critical thinking, communication, and continuous improvement skills.

Preferred:

  • Working knowledge of data architecture, data modeling, data governance, cloud data platforms, data lakes, or semantic models and the ability to partner effectively with IT and data teams.
  • Exposure to AI, machine learning, predictive analytics, or advanced analytics use cases in a finance or business environment.
  • Experience supporting finance transformation, data modernization, reporting automation, digital finance, or process improvement initiatives.
  • Familiarity with Power BI, SQL, Azure, Databricks, or similar data and analytics platforms.

Basic Qualifications:

  • Bachelor's degree in Finance, Accounting, Information Systems, Data Analytics, Computer Science, or similar field. Preferred: Master's degree in Business Administration, Business/Finance, Information Systems, Data Analytics, Computer Science, or similar field.
  • 7 years of experience in supporting finance processes, reporting, analytics, process improvement, leading workstreams, or transformation initiatives. Preferred: 10 years of experience. 

This position may require access to United States export controlled technical data ("CTD") and hardware under the Departments of US State (ITAR) and/or Commerce (EAR).  Eligible candidates are; US Citizens, Green Card holders, Asylees or others eligible to receive US export license authorizations. Candidate must be authorized to work in the US.
 

All qualified applicants shall be treated equally according to their individual qualifications, abilities, experiences and other employment standards. There will be no discrimination due to gender or gender identity, race, religion, color, national origin, ancestry, age, disability, sexual orientation, veteran/military status or any other basis protected by applicable law.


What Timken employees say

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About Timken

Sourced by ZipRecruiter

The Timken Company designs a growing portfolio of engineered bearings and power transmission products that improve the reliability and efficiency of global machinery and equipment to move the world forward. Timken posted $3.8 billion in sales in 2019 and employs more than 17,000 people globally, operating from 42 countries. Why Choose Timken?

Industry

Industrial machinery manufacturing

Company size

10,000+ Employees

Headquarters location

North Canton, OH, US

Year founded

1899