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Senior Data Manager Jobs in Ohio (NOW HIRING)

Stantec

Senior Data Architect

Columbus, OH · On-site

$65 - $87/hr

They are seeking a Senior Data Architect to design and implement data architecture strategies for the PM2PA application, focusing on optimizing collaboration between project managers and accountants ...

Stantec

Senior Data Architect

Columbus, OH · On-site

$65 - $86.75/hr

Senior Data Architect We are seeking a Senior Data Architect to join a project team that will be ... Data Management & Governance: Familiarity with enterprise data management tools and practices.

USM

Urgent Need SR Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

Title: Sr. Data Analyst - SQL Location: Dayton, OH Duration: 9 to 12 months+ Top Desired Skills ... Support regular data management processes and ad hoc user requests. Monitor the quality of data ...

RAKS Group LLC

Senior Data Analyst

Columbus Grove, OH

$78K - $99K/yr

Senior Data Analyst Type: Contract / C2C (temporary) Senior Data Analyst. Our client has a contract ... Manage the data elementsâ drafting process and the approval process by designated data stewards.

Modern Technology Solutions, Inc.

MTSI is seeking a Senior Configuration & Data Manager to support the Collaborative Combat Aircraft (CCA) Program Office at Wright-Patterson AFB, Ohio . This role requires leadership capability ...

A/V Services LLC

Senior Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

... with Senior Manager, Finance Systems to align data conversion schedules with functional ... configuration timelines and testing cycles Evangelize AI/LLM capabilities across Finance ...

A/V Services LLC

Senior Data Analyst

Dayton, OH · On-site

$83K - $105K/yr

... with Senior Manager, Finance Systems to align data conversion schedules with functional ... configuration timelines and testing cycles Evangelize AI/LLM capabilities across Finance ...

reeeliance IM GmbH

$120 - $150/hr

About the role We are looking for a Senior Data & AI Architect to design, build, and manage the end-to-end data infrastructure that powers intelligent AI applications. In this role, you will act as a ...

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Senior Data Manager information

See Ohio salary details

$75.1K

$117K

$175.4K

How much do senior data manager jobs pay per year?

As of Aug 29, 2026, the average yearly pay for senior data manager in Ohio is $116,988.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,300.00 and $130,700.00 per year, depending on experience, location, and employer.

What is a senior data manager?

A Senior Data Manager is a professional responsible for overseeing the collection, management, and analysis of large sets of data within an organization. They ensure data quality, integrity, and security, and often lead a team of data professionals such as analysts and data engineers. Senior Data Managers collaborate with IT, business, and analytics teams to support data-driven decision-making and compliance with data regulations. They typically have several years of experience in data management, strong technical skills, and leadership abilities.

What are the key skills and qualifications needed to thrive as a senior data manager, and why are they important?

To thrive as a Senior Data Manager, you need expertise in data management principles, database design, and statistical analysis, usually backed by a degree in computer science, information systems, or a related field. Familiarity with database management systems (e.g., SQL, Oracle), data integration tools, and certifications like CDMP or DAMA are highly valued. Leadership, problem-solving, and effective communication are critical soft skills for managing teams and collaborating across departments. These skills ensure accurate data governance, efficient project execution, and the alignment of data strategy with business goals.

What are some typical challenges faced by senior data managers when implementing new data governance policies?

Senior Data Managers often encounter challenges such as resistance to change from stakeholders, integrating new policies with existing legacy systems, and ensuring consistent data quality across departments. Effective communication and cross-team collaboration are crucial to overcome these hurdles, as is providing ongoing training to staff. Additionally, Senior Data Managers need to balance compliance requirements with business objectives to ensure that new policies are both practical and sustainable.

What is the difference between Senior Data Manager vs Data Analyst?

AspectSenior Data ManagerData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data managementBachelor's in Statistics, Data Science, or related field; proficiency in data analysis tools
Work EnvironmentOversees data teams, manages data systems, and ensures data qualityAnalyzes data sets, creates reports, and supports decision-making
Employer & Industry UsageUsed in corporate, healthcare, finance sectors for data governanceCommon in marketing, research, and business intelligence roles

The main difference is that Senior Data Managers focus on overseeing data operations and strategy, while Data Analysts primarily analyze data to generate insights. Senior Data Managers have broader responsibilities in data governance and team management, whereas Data Analysts concentrate on data interpretation and reporting.

How much does a senior data manager get paid?

The average salary for a senior data manager typically ranges from $90,000 to $130,000 annually, depending on experience, industry, and location. They often require strong skills in data analysis, database management, and familiarity with tools like SQL and data visualization software.

What does a senior data manager do?

A senior data manager oversees the collection, organization, and analysis of data within an organization. They develop data management strategies, ensure data quality and security, and often use tools like SQL and data visualization software to support decision-making. This role typically requires strong leadership skills and experience in data governance and analytics.

What are popular job titles related to Senior Data Manager jobs in Ohio?

For Senior Data Manager jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Senior Data Manager jobs in Ohio look for?

The top searched job categories for Senior Data Manager jobs in Ohio are:

What cities in Ohio are hiring for Senior Data Manager jobs?

Cities in Ohio with the most Senior Data Manager job openings:

Senior Data Manager jobs near you
Infographic showing various Senior Data Manager job openings in Ohio as of August 2026, with employment types broken down into 81% Full Time, 15% Part Time, and 4% Contract. Highlights an 78% Physical, 2% Hybrid, and 20% Remote job distribution, with an average salary of $116,988 per year, or $56.2 per hour.

Data Modeler or Senior Data Modeler

The University of Dayton

Dayton, OH • On-site

$53.25 - $69/hr

Full-time

Re-posted 9 days ago

University Of Dayton rating

8.4

Company rating: 8.4 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

104th of 627 rated colleges and universities

Job description

Data Modeler or Senior Data Modeler

Apply now Job No: 503647
Work Type: Staff Full Time (1500 hours or greater)
Location: Dayton, OH
Category: University Staff
Department: Entpr Data Mgmt & Dec Sppt - 804420
Pay Grade: B - Exempt
Advertised: June 22, 2026
Applications close:

Position Summary:

The Data Modeler plays a critical role in the development and implementation of a data management strategy that supports the organization's strategic goals and operational needs. This individual will be responsible for ensuring data integrity, creating physical data models, and optimizing data storage and retrieval processes.

In addition to the responsibilities of the Data Modeler position, the Senior Data Modeler role takes on greater responsibilities for shaping data management. This includes working with cross-functional teams to gather business requirements and translate them into efficient and scalable data architectures; designing conceptual and logical data models; and informing, defining, and documenting data governance standards.

Minimum Qualifications:

Minimum requirements for the Data Modeler
High school diploma or equivalent.
At least two years professional experience in a data management related field.
At least two years experience writing SQL.
Relational and dimensional data modeling, database design, and performance tuning skills.
Demonstrated communication skills and the ability to work collaboratively in a dynamic environment.
Ability to work well under pressure and meet deadlines.

A Senior Data Modeler must meet all Data Modeler minimum qualifications in addition to the qualifications listed below.
At least five years professional experience in a data management related field.
At least five years experience writing SQL.
Understanding of source and target data structures, ETL processes, and products.
Experience with systems analysis functions with emphasis on translating business needs into technical solutions.

Preferred Qualifications:

While not everyone may possess all of the preferred qualifications, the ideal candidate will bring many of the following:

An understanding of data governance princiiples and standards, e.g. Educause's HERM.
Working knowledge of data warehousing design principles.
Experience working with data in the Higher Education industry.
Experience working with Ellucian Banner, Salesforce, and/or Canvas data.
Experience working with a CI/CD environment and tools, particularly Git.
Ability to work with users at all levels of the organization.

Special Instructions to Applicants:

To apply please submit a cover letter addressing each minimum qualification and any applicable preferred qualifications that you meet.

Applicants must be currently authorized to work in the United States on a full-time basis. The University does not provide work visa sponsorship for this position.

Closing Statement:

Informed by its Catholic and Marianist mission, the University is committed to the dignity of every human being. Informed by this commitment, we seek to increase diversity in all of its forms, achieve fair outcomes, and model inclusion across our campus community. The University is committed to policies of affirmative action designed to increase the employment opportunities of individuals with disabilities and protected veterans in compliance with the Rehabilitation Act of 1973 and Vietnam Era Veterans' Readjustment Assistance Act of 1973.

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