1

Data Integrity Jobs in Ohio (NOW HIRING)

Data Entry

Columbus, OH · On-site

$57K - $62K/yr

Data Entry At Captura Hall, we specialize in creating tailored business solutions designed to ... With a focus on innovation, integrity, and service excellence, we support companies in streamlining ...

Data Entry

Columbus, OH · On-site

$57K - $62K/yr

With a focus on innovation, integrity, and service excellence, we support companies in streamlining ... Captura Hall is seeking a detail-oriented and efficient Data Entry to join our Columbus, OH team.

Data Entry

Columbus, OH · On-site

$57K - $62K/yr

With a focus on innovation, integrity, and service excellence, we support companies in streamlining ... Captura Hall is seeking a detail-oriented and efficient Data Entry to join our Columbus, OH team.

With a focus on innovation, integrity, and service excellence, we support companies in streamlining ... Captura Hall is seeking a detail-oriented and efficient Data Entry to join our Columbus, OH team.

Integrity, relationships, and excellence are at the heart of everything we do. Our employees fully ... Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ...

Integrity, relationships, and excellence are at the heart of everything we do. Our employees fully ... Central Insurance is seeking a Data Analytics Manager to lead a highimpact team responsible for ...

Senior Data Analyst

Blue Ash, OH

$82K - $104K/yr

The analyst ensures data integrity across systems and helps drive improvements in patient access, financial outcomes, and operational efficiency. Key Responsibilities Reporting & Analytics * Develop ...

Collaborate with other team members to ensure data integrity. Skills, Knowledge and Expertise * High school diploma or equivalent; additional education is a plus. * Proven experience in data entry or ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

The Director leads high-performing teams to deliver scalable cloud solutions, ensures data integrity and security, provides operational excellence, and drives organizational impact through real-time ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

... Integrity & Collaboration Partner with Technology and Platform teams to maintain the customer database, ensuring accuracy, consistency, and growth across online and offline channels Ensure data ...

Ensure data integrity through validation, cleansing, and ongoing quality checks * Collaborate cross-functionally to support test-and-learn initiatives and continuous improvement REQUIRED EXPERIENCE ...

next page

Showing results 1-20

Data Integrity information

See Ohio salary details

$10

$31

$72

How much do data integrity jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for data integrity in Ohio is $31.89, according to ZipRecruiter salary data. Most workers in this role earn between $17.14 and $40.87 per hour, depending on experience, location, and employer.

What is the difference between Data Integrity vs Data Analyst?

AspectData IntegrityData Analyst
Required CredentialsKnowledge of data management, quality assurance certificationsDegree in statistics, data science, or related field
Work EnvironmentData management teams, IT departmentsBusiness units, analytics teams
Industry UsageEnsuring data accuracy and consistencyAnalyzing data to generate insights

Data Integrity focuses on maintaining the accuracy, consistency, and reliability of data across systems, ensuring data quality. Data Analysts interpret and analyze data to support decision-making. While Data Integrity ensures data is trustworthy, Data Analysts utilize that data to derive meaningful insights. Both roles are essential in data-driven organizations but serve different functions within the data lifecycle.

What are some common challenges faced by data integrity professionals, and how are they typically addressed within organizations?

Data integrity professionals often encounter challenges such as data inconsistencies, incomplete records, and ensuring compliance with data governance standards. These issues are typically addressed through regular audits, implementation of automated validation tools, and close collaboration with IT and data management teams. Maintaining clear documentation and establishing standardized procedures are also crucial for minimizing errors and maintaining high-quality data. Ongoing training and communication help teams stay aligned with evolving data policies and regulatory requirements.

What is data integrity work?

Data integrity work involves ensuring the accuracy, consistency, and reliability of data throughout its lifecycle. Professionals in this field implement validation processes, perform audits, and use tools like database management systems to prevent data corruption or errors, supporting effective decision-making and compliance.

What are the key skills and qualifications needed to thrive in a Data Integrity role, and why are they important?

To excel in a Data Integrity role, you need a solid understanding of data management principles, attention to detail, and often a degree in information technology, computer science, or a related field. Familiarity with database systems (such as SQL), data validation tools, and compliance frameworks like GDPR or HIPAA is typically required. Strong analytical thinking, problem-solving abilities, and effective communication are essential soft skills for ensuring data accuracy across teams. These skills are vital for maintaining trustworthy, compliant, and high-quality data that supports sound business decisions.

How much does a data integrity analyst make?

A data integrity analyst typically earns between $60,000 and $90,000 annually, depending on experience, location, and industry. Entry-level positions may start lower, while experienced analysts with certifications or specialized skills can earn higher salaries. The role often requires knowledge of database management and data validation tools.

What are the 4 types of data integrity?

In data integrity, the four main types are physical integrity, which ensures data is protected from physical damage; logical integrity, which maintains data accuracy and consistency; referential integrity, which ensures relationships between data are valid; and data integrity constraints, which enforce rules to prevent invalid data entry. Data integrity is crucial for roles like Data Integrity specialists to ensure reliable and accurate data management.

What is a data integrity job?

A data integrity job involves ensuring the accuracy, consistency, and reliability of data within an organization. Professionals in this role typically work with database management, data validation, and quality control tools to prevent data corruption and errors, supporting effective decision-making and compliance. Strong attention to detail and knowledge of data management systems are essential for this position.

What is data integrity and why is it important?

Data integrity refers to the accuracy, consistency, and reliability of data throughout its lifecycle. It ensures that information is not altered or tampered with during storage, transmission, or retrieval. Maintaining data integrity is critical for making informed business decisions, complying with regulatory requirements, and protecting sensitive information from corruption or unauthorized access.
What are popular job titles related to Data Integrity jobs in Ohio? For Data Integrity jobs in Ohio, the most frequently searched job titles are:
Infographic showing various Data Integrity job openings in Ohio as of July 2026, with employment types broken down into 1% As Needed, 82% Full Time, 15% Part Time, and 2% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $66,332 per year, or $31.9 per hour.
Enterprise Data & AI Strategy Manager

Enterprise Data & AI Strategy Manager

Installed Building Products

Columbus, OH • On-site

$115K - $140K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 13 days ago


Installed Building Products rating

7.0

Company rating: 7.0 out of 10

Based on 20 frontline employees who took The Breakroom Quiz

22nd of 50 rated home improvement suppliers and fitters


Job description

IBP is seeking an Enterprise Data & AI Strategy Manager to accelerate our digital evolution. Reporting to the VP of Internal Audit, this role serves as a strategic connector-aligning business units, PMO, IT, and leadership to deliver scalable data solutions, AI-enabled insights, and enterprise automation.
You'll play a pivotal role in modernizing our data environment and operationalizing AI across a decentralized organization.
Key responsibilities:
  • Build strong relationships with cross-functional partners, regularly communicating progress, insights, and alignment between data strategies and business goals
  • Ability to operate in a highly decentralized environment
  • Partner with IT, data stewards, and business unit leaders to define evolving data requirements
  • Enforce data governance frameworks, standards, and policies to ensure consistency, compliance, and data integrity
  • Monitor and promote data integrity across systems
  • Support data remediation by leveraging AI-driven tools for gap-filling, correcting, matching, and auditing data, ensuring data quality and consistency across systems

Preferred Experience & Qualifications
  • 8+ years of experience in data, analytics, and enterprise transformation roles
  • Demonstrable experience in creating & modernizing enterprise data reporting frameworks & supporting departments
  • Experience working on hyperscalers (Azure, AWS) and with cloud data warehousing platforms (Fabric, Databricks, Snowflake etc.) Experience transitioning from a fragmented legacy data environment to cloud-based medallion architecture
  • Experience with ERP, AP, and CRM systems (such as Sage 100, QuickBooks, Acumatica, MuleSoft, Salesforce)
  • Experience with data governance frameworks
    • Familiarity with Purview or Unity Catalog a plus
  • Create and scale intelligent autonomous agents that provide value-add, goal-driven automation experiences
  • Enable and execute multi-agent workflows across systems, enhancing decision-making and workflow adaptability
    • Strong preference for successful AI rollouts to production
  • Support data remediation by leveraging AI-driven tools for gap-filling, correcting, matching, and auditing data, ensuring data quality and consistency across systems.

Required Skills:
  • Analytical & problem-solving abilities - strong analytical skills to identify trends, solve complex issues, and translate insights into actionable strategies
  • Communication skills - strong verbal and written communication skills, with the ability to clearly convey complex data concepts to non-technical audiences
  • Relationship building & business engagement - strong interpersonal skills to effectively collaborate with cross-functional teams, influence decision-making, and drive alignment/adoption of solutions across a decentralized branch network
  • Data Governance development & adoption - including:
    • Knowledge of data governance frameworks, data quality management, and compliance practices to ensure data integrity and security
    • Implement data standards practices and enforcement
    • Establish clear data classification and access controls
    • Lead overall data stewardship including defining roles and responsibilities across the organization
    • Ensure traceability, transparency, and consistency of enterprise data outputs
  • Enterprise Data Platform technical proficiency - including:
    • Own the Enterprise Data Roadmap, order and prioritization, dependencies, and timelines easily accessible by stakeholders
    • Create & implement framework to prioritize ingestion, transformation, and reporting of data sources
    • Retire legacy systems and data transformation workflows and ensure complete and accurate transition to new data environment
    • Oversee testing and QA
    • Create and monitor the automation of alerts, logs, and Lakehouse availability reporting
  • AI Strategy & Execution proficiency - including:
    • Systems-based thinking and focus on value creation
    • Establish Enterprise AI frameworks, approach, and guardrails
    • Translate enterprise AI strategy into executable use cases and initiatives
    • Assist leadership to prioritize AI investments and manage delivery
    • Partner with IT in testing and exploration in sandbox environments
    • Evaluate and mitigate risks associated with the use of 'Shadow AI' across the Enterprise

Schedule: Hybrid
Compensation: $115k-$140k base + manager bonus
Physical Demands:
Reasonable accommodations may be made to enable individuals with disabilities to perform essential job functions. The ability to lift light to moderate weight and engage in activities such as sitting for extended periods to complete computer tasks, as well as occasional lifting, standing, bending, or reaching, is required.
Why we love it here
At IBP, we invest in all of our employees. That means robust benefits (medical, dental, vision, short- and long-term disability, accident, and critical illness, company-paid life, and retirement plans), paid time off, and the IBP Foundation, which offers scholarships, emergency assistance, and volunteer matching for everyone in the IBP family. We pride ourselves on supporting our teammates' quest for additional training and certifications outside of what we provide by paying for those opportunities.
EEO Statement
We are an Equal Opportunity Employer and consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veterns.
Equal Opportunity Employer
This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

What Installed Building Products employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom