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Data Governance Engineer Jobs in Ohio (NOW HIRING)

Pwc

Data Engineer - Senior Manager

Cleveland, OH

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Pwc

Data Engineer - Senior Manager

Columbus, OH

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Pwc

Data Engineer - Senior Manager

Toledo, OH

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

Pwc

Data Engineer - Senior Manager

Cincinnati, OH

$124K - $280K/yr

... data governance and data security policies, and collaborating with business stakeholders to ... Engineer, Google Professional Cloud Architect, GCP Data Engineer Microsoft Azure Solutions ...

The Scotts Miracle Gro Company

Data Steward

Marysville, OH · On-site +1

$87K - $103K/yr

Certified Data Management Professional - CDMP, Certified Data Governance Professional - CDGP * 2 - 4 Years of experience prefered * Programming experience (e.g., Python, SQL). * Experience with data ...

The Scotts Company LLC

Data Steward

Marysville, OH · On-site

$87K - $103K/yr

Certified Data Management Professional - CDMP, Certified Data Governance Professional - CDGP * 2 - 4 Years of experience prefered * Programming experience (e.g., Python, SQL). * Experience with data ...

Medpace, Inc.

Junior Data Governance Analyst

Cincinnati, OH · On-site +1

$25.50 - $34/hr

... governance of BI reports, Automated workflows, micro apps, and AI solutions ... As a Junior Business Systems Analyst, you will work with business partners and developers to define ...

Pwc

Data Engineer - Manager

Cincinnati, OH

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Manager you can lead the development of data models, support compliance with data governance ...

Pwc

Data Engineer - Manager

Columbus, OH

In data engineering at PwC, you will focus on designing and building data infrastructure and ... As a Manager you can lead the development of data models, support compliance with data governance ...

The Scotts Company LLC

Data Steward (SAP)

Marysville, OH · On-site

$87K - $103K/yr

Certified Data Management Professional - CDMP, Certified Data Governance Professional - CDGP * 2 - 4 Years of experience prefered * Programming experience (e.g., Python, SQL) * Experience with SAP ...

TPC Wire and Cable

Data Quality Engineer

Macedonia, OH · On-site

$103K - $124K/yr

Minimum of 3-5 years of experience in data quality, data engineering, data governance, or analytics roles. * Strong proficiency in SQL for data analysis and validation. * Experience working with data ...

CoverMyMeds

Data Engineer

Columbus, OH · Remote

$110K - $132K/yr

Support data governance initiatives through standardization, documentation, and quality controls ... Leverage modern engineering practices and AI-assisted development tools to improve solution ...

CoverMyMeds

Data Engineer

Columbus, OH · On-site +1

$110K - $132K/yr

Support data governance initiatives through standardization, documentation, and quality controls ... Leverage modern engineering practices and AI-assisted development tools to improve solution ...

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Showing results 41-60

All JobsData Governance Engineer JobsData Governance Engineer Jobs in Ohio

Data Governance Engineer information

See Ohio salary details

$42.3K

$123.3K

$168.7K

How much do data governance engineer jobs pay per year?

As of Aug 11, 2026, the average yearly pay for data governance engineer in Ohio is $123,321.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,900.00 and $130,700.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a data governance engineer?

To thrive as a Data Governance Engineer, you need a solid understanding of data management principles, metadata standards, data quality frameworks, and typically a degree in computer science, information systems, or a related field. Familiarity with data governance tools like Collibra, Informatica, or Alation, as well as proficiency in SQL, data modeling, and regulatory compliance frameworks such as GDPR, is essential. Strong analytical thinking, attention to detail, and effective communication skills are crucial for collaborating with stakeholders and ensuring adherence to data policies. These skills and qualities are vital to maintain data integrity, compliance, and support informed business decision-making.

What is a data governance engineer?

Data Governance Engineers are professionals responsible for designing, implementing, and maintaining systems and processes that ensure data is accurate, consistent, secure, and compliant with relevant regulations. They work closely with data stewards, IT teams, and business units to create data policies, manage metadata, and oversee data quality initiatives. Their role is crucial in helping organizations maximize the value of their data assets while minimizing risks related to data privacy and misuse.

How does a data governance engineer typically collaborate with data stewards and business units to ensure data quality?

A Data Governance Engineer works closely with data stewards and various business units to define, implement, and monitor data quality standards. This involves facilitating cross-functional meetings, translating business requirements into technical data policies, and creating automated processes to enforce those standards. Regular collaboration ensures that data assets are accurate, secure, and compliant with regulations, while also supporting business goals. By acting as a bridge between technical teams and business stakeholders, Data Governance Engineers help foster a culture of data accountability and transparency.

Is data governance a good career?

Data Governance Engineer is a growing role focused on managing data quality, security, and compliance within organizations. It requires knowledge of data management tools, policies, and regulations, making it a stable and in-demand career path with opportunities for advancement. The field offers a blend of technical and strategic work, suitable for those interested in data integrity and organizational compliance.
What are popular job titles related to Data Governance Engineer jobs in Ohio? For Data Governance Engineer jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Data Governance Engineer jobs in Ohio look for? The top searched job categories for Data Governance Engineer jobs in Ohio are:
What cities in Ohio are hiring for Data Governance Engineer jobs? Cities in Ohio with the most Data Governance Engineer job openings:
Data Governance Engineer jobs near you
Infographic showing various Data Governance Engineer job openings in Ohio as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $123,321 per year, or $59.3 per hour.

AI Insights & Governance Analyst

Vertiv Group Corp.

Westerville, OH • On-site

Full-time

Posted 28 days ago

Vertiv rating

6.7

Company rating: 6.7 out of 10

Based on 64 frontline employees who took The Breakroom Quiz

376th of 487 rated machine equipment manufacturers

Job description


Position Summary
The AI Insights & Governance Analyst will drive visibility and measurable value realization across Vertiv's AI portfolio. This role owns the analytics layer for enterprise AI-tracking use case value, tool adoption, usage and proficiency, and governance compliance-and translates it into executive-ready insight that informs investment and prioritization decisions. The ideal candidate is fluent in the AI landscape and AI lifecycle, strong in analytics and stakeholder communication, but need not be a deep technical/engineering practitioner.
Key Responsibilities
  • Track and quantify business value delivered by AI use cases-cost savings, productivity gains, revenue impact-across Vertiv's global processes (SIOP, NPDI, OTO, OTC) and functions.
  • Build and maintain centralized dashboards covering: AI use case portfolio, enterprise AI tool adoption, and user engagement/usage trends/proficiency levels.
  • Monitor and report KPIs for the Enterprise AI Tool, including adoption, usage frequency, response quality, and business outcomes.
  • Analyze enterprise usage of internal and external AI tools and surface optimization opportunities.
  • Define and track AI governance metrics: compliance, approved-model usage, and adherence to enterprise AI policies.
  • Partner with business, IT, and AI teams to standardize value-measurement frameworks and reporting structures.
  • Produce executive-level scorecards, summaries, and insights for the ELT/leadership audience.
  • Support intake and prioritization of new AI use cases with analytics on expected value and impact.
  • Identify gaps in adoption, training, or tooling and recommend data-driven improvements.

Requirements
  • Bachelor's degree in business Analytics, Information Systems, Data Analytics, or a related field.
  • 2-4 years in business analytics, reporting, or data analysis roles, including hands-on work within AI/GenAI initiatives.
  • Solid working knowledge of the AI/GenAI landscape, tools, and vendors-able to speak credibly with both business and technical stakeholders without requiring a deep engineering background.
  • Strong analytical skills with proven experience in data visualization and reporting tools (Power BI, QuickSight, or equivalent).
  • Ability to translate business metrics into structured reporting and insight.
  • Experience working across cross-functional teams (business, IT, product).
  • Strong communication skills for executive-facing reporting.

Preferred Qualifications
  • Direct experience supporting AI/GenAI programs or enterprise AI initiatives.
  • Familiarity with the AI lifecycle (use case intake, deployment, governance, monitoring).
  • Knowledge of enterprise AI platforms and ecosystems (e.g., AWS AI services, internal AI platforms).
  • Experience defining KPIs and performance-measurement frameworks.
  • Exposure to data platforms (e.g., Snowflake or similar).

Core Skills
  • Business analytics and KPI development
  • Data visualization and dashboarding
  • AI adoption, usage, and proficiency analysis
  • Stakeholder communication and executive reporting
  • Governance tracking and compliance awareness

Performance Measures
  • Accuracy and completeness of AI value tracking across use cases
  • Adoption, engagement, and proficiency metrics across Enterprise AI Tools
  • Quality and usability of dashboards and executive reports
  • Improvement in visibility of AI portfolio performance
  • Contribution to governance maturity and compliance reporting

OUR CORE PRINCIPALS: Safety. Integrity. Respect. Teamwork. Inclusion.
OUR STRATEGIC PRIORITIES
• High-Performance Culture
• Customer Focus
• Operational Excellence
• Innovation
• Financial Strength
VERTIV BEHAVIORS
  • Own it
  • Act with urgency
  • Foster a customer-first mindset
  • Think big and execute
  • Lead by example
  • Drive continuous improvement
  • Learn and seek out development
  • Promote transparent & open communication

About Vertiv
Vertiv (NYSE: VRT) brings together hardware, software, analytics and ongoing services to enable its customers' vital applications to run continuously, perform optimally and grow with their business needs. Vertiv solves the most important challenges facing today's data centers, communication networks and commercial and industrial facilities with a portfolio of power, cooling and IT infrastructure solutions and services that extend from the cloud to the edge of the network. Headquartered in Westerville, Ohio, USA, Vertiv employs around 34,000 people and does business in more than 130 countries. Visit Vertiv.com to learn more.
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
Vertiv is an Equal Opportunity/Affirmative Action employer. We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability. If you have a disability and are having difficulty accessing or using this website to apply for a position, you can request help by sending an email to help.join@vertiv.com.
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About the Team
Work Authorization
No calls or agencies please. Vertiv will only employ those who are legally authorized to work in the United States. This is not a position for which sponsorship will be provided. Individuals with temporary visas such as E, F-1, H-1, H-2, L, B, J, or TN or who need sponsorship for work authorization now or in the future, are not eligible for hire.
Equal Opportunity Employer
We promote equal opportunities for all with respect to hiring, terms of employment, mobility, training, compensation, and occupational health, without discrimination as to age, race, color, religion, creed, sex, pregnancy status (including childbirth, breastfeeding, or related medical conditions), marital status, sexual orientation, gender identity / expression (including transgender status or sexual stereotypes), genetic information, citizenship status, national origin, protected veteran status, political affiliation, or disability.

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