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Data Modernization Jobs in Ohio (NOW HIRING)

Credence

Data Science Manager

Dayton, OH · On-site

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... This role is ideal for a data professional who enjoys transforming complex procurement, logistics ...

Credence

Data Science Manager

Dayton, OH · On-site

We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced ... This role is ideal for a data professional who enjoys transforming complex procurement, logistics ...

Impower.ai

Practice Lead - Data

Columbus, OH · On-site

... modernization, governance, scalability, and cost • Communicate complex technical concepts in a way that business and technology leaders can understand Architect Modern Data Platforms • Design and ...

A-TEK Inc.

Health IT Data Engineer

Continental, OH · On-site

$125K - $135K/yr

Support cloud-based analytics environments and data modernization initiatives. * Prepare technical documentation and data architecture diagrams. Minimum Qualifications * Bachelor's degree in Computer ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · On-site

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

Advanced Drainage Systems

Senior Data Engineer

Hilliard, OH · Hybrid

$100K - $136K/yr

This role will be a key contributor to ADS's data modernization initiative, enabling the transition to a cloud-based, scalable architecture that supports AI/ML, IoT data integration, and enterprise ...

AVI Foodsystems

Head of IT Security

Akron, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems, Inc

Head of IT Security

Warren, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems

Head of IT Security

Warren, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems

Head of IT Security

Youngstown, OH · Hybrid

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

Citizens

Martech Platform Data Lead

Columbus, OH · Hybrid

$140K - $183K/yr

Support platform data modernization across marketing automation, customer decisioning, CRM, and customer communications tools. * Partner with Risk, Legal, Compliance, and data governance teams to ...

AVI Foodsystems, Inc.

Head of IT Security

Akron, OH · On-site

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

AVI Foodsystems, Inc.

Head of IT Security

Warren, OH · On-site

Digital Transformation, Data Modernization, IT Operations and AI Position Overview We are seeking a visionary Security Leader to architect and lead a comprehensive security strategy for a privately ...

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All JobsData Modernization JobsData Modernization Jobs in Ohio

Data Modernization information

What are the key skills and qualifications needed to thrive in data modernization?

To thrive in Data Modernization, you need strong expertise in data architecture, cloud platforms, and data migration, often supported by a degree in computer science or information systems. Familiarity with tools like Azure, AWS, Snowflake, ETL frameworks, and certifications such as AWS Certified Data Analytics or Microsoft Azure Data Engineer are commonly required. Excellent problem-solving, project management, and communication skills help professionals effectively lead transformation initiatives and collaborate with stakeholders. These skills are crucial for ensuring seamless migration, maximizing data value, and driving innovation within organizations.

What are some common challenges faced by professionals working in data modernization projects?

Professionals in Data Modernization often encounter challenges such as integrating legacy systems with modern cloud-based solutions, ensuring data quality during migration, and managing data security and compliance. Additionally, they may need to collaborate closely with cross-functional teams to align business goals with technical requirements. Adaptability and strong communication skills are important, as priorities can shift rapidly in response to evolving business needs and technology updates.

What is the difference between Data Modernization vs Data Analyst?

AspectData ModernizationData Analyst
Primary FocusUpgrading and transforming data systems and infrastructureAnalyzing data to generate insights and reports
Skills RequiredData architecture, cloud platforms, database managementStatistical analysis, data visualization, SQL
Work EnvironmentIT departments, data engineering teamsBusiness units, analytics teams
CertificationsCloud certifications, data management certificationsData analysis, visualization certifications

Data Modernization involves upgrading data systems and infrastructure to improve efficiency and scalability, often requiring technical expertise in data architecture and cloud platforms. In contrast, Data Analysts focus on interpreting data, creating reports, and providing insights to support business decisions. While both roles work with data, their core responsibilities and skill sets differ significantly.

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

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

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

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

What cities in Ohio are hiring for Data Modernization jobs?

Cities in Ohio with the most Data Modernization job openings:

Data Modernization jobs near you
Infographic showing various Data Modernization 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.

Data Science Manager

Credence

Dayton, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 6 days ago

Job description

Overview
At Credence, we support our clients' mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.
We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 13 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.
Position Summary
Credence has an immediate need for a Data Science Manager at the journeyman level to support HQ AFMC A4/10 at Wright Patterson AFB, OH. . This role is ideal for a data professional who enjoys transforming complex procurement, logistics, and enterprise systems data into actionable insights through analytics, automation, dashboards, data modeling, and decision-support solutions for Air Force stakeholders.
The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations...resulting in war-winning expeditionary capabilities.
In this position, the selected candidate will support enterprise data modernization efforts by helping connect data across systems, improve data quality, identify trends, develop meaningful visualizations, and translate business needs into scalable analytics and business intelligence solutions.
Responsibilities include, but are not limited to the duties listed below:
  • Provide professional services in support of the Digital Materiel Management (DMM) initiative as defined in the PWS.
  • Support DMM modernization efforts by providing integrated tools for contract data normalization, analysis, and analytics to facilitate Air Force-wide insight into procurement data.
  • Utilize current and future DoD and Air Force IT systems to connect procurement data and generate tools and visualizations for the procurement community.
  • Perform professional and administrative tasks in support of the contracting functional community's DMM efforts.
  • Gather business requirements, analyze source systems, define underlying data sources and transformation requirements, design data models, and develop metadata for data analysis and visualization.
  • Acquire and analyze data and metrics across the enterprise to determine how they can be incorporated into data visualizations and dashboards.
  • Conduct exploratory data analysis, trend analysis, and data quality assessments to uncover patterns, risks, opportunities, and actionable insights that support operational and strategic decision-making.
  • Collaborate with business areas and project teams to elicit, identify, prioritize, and document data visualization and business intelligence requirements.
  • Translate complex data findings into clear narratives, dashboards, and data stories that enable non-technical stakeholders to understand key insights and make informed decisions.
  • Serve as a functional and technical data visualization and business intelligence subject matter expert.
  • Translate business analysis and business needs into prototype concepts for reports and dashboards and contribute to design and visualization best practices.
  • Utilize business intelligence tools to take dashboard requirements and develop deliverable solutions.
  • Create and update Python scripts for data translation from multiple sources.
  • Support data pipeline, data integration, and automation activities by working with structured and unstructured data from multiple enterprise systems and applying repeatable, scalable approaches to data transformation.
  • Serve as a functional and technical Robotic Process Automation (RPA) subject matter expert.
  • Document data acquisition, data management, and data governance processes.
  • Promote data governance, metadata management, data lineage, and standardization practices to improve consistency, usability, and trust in enterprise data assets.
  • Make and implement process improvements and efficiencies.
  • Create training materials and user guides.
  • Conduct group and one-on-one training sessions with end users.

Requirements
Education, Requirements and Qualifications:
  • Must have an active or current Secret security clearance, or higher.
  • BA/BS degree and at least three (3) years of experience in the respective technical/professional discipline being performed, with proper certifications required in the labor category performance requirements
  • OR six (6) years of directly related experience.
  • Knowledgeable in enterprise software development and the acquisition life cycle, with applied knowledge of Government program management skills and document preparation.
  • Ability to use Government-provided office automation tools.
  • Knowledge of federal and Department e-business and contracting systems, analytics platforms, and data tools, including but not limited to Conwrite, Automated Contract Preparation System (ACPS), CON-IT, Advana, CDO-VALT, Program Management Resource Tools (PMRT), Federal Procurement Data System-Next Generation (FPDS-NG), Procurement Integrated Enterprise Environment (PIEE) suite, Electronic Document Access (EDA), Wide Area Workflow (WAWF), ABSS, ERP systems, SQL, Python, UiPath, Qlik Sense, QlikView, Tableau, Power BI, Power Apps, and • Power Automate, data modeling, dashboard development, data visualization, data transformation, and business intelligence reporting.
  • Extensive knowledge of the federal acquisition process, including in-depth experience with the Federal Acquisition Regulation (FAR), Defense Federal Acquisition Regulation Supplement (DFARS), Department of the Air Force Federal Acquisition Regulation Supplement (DAFFARS), and DoD and Air Force acquisition instructions.

Preferred Experience:
  • Hands-on experience with Python, SQL, Power BI, Tableau, Qlik, Power Apps, Power Automate, UiPath, or similar tools for dashboards, reporting, automation, and data-driven solutions.
  • Experience leveraging AI/ML, Generative AI, predictive analytics, or automation technologies to improve data-driven decision-making, business process efficiency, and operational outcomes within DoD, Air Force, or federal environments.
  • Experience with data pipelines, integration, transformation, cleansing, validation, data modeling, governance, metadata, or data lineage.
  • Ability to apply exploration analysis, trend analysis, statistical analysis, predictive analytics, or machine learning concepts to support business insights and decision-making.
  • Strong ability to present complex data insights through clear dashboards, visualizations, narratives, and recommendations for technical and non-technical stakeholders.

Benefits
  • Health Care Plan (Medical, Dental & Vision)
  • Retirement Plan (401k, IRA)
  • Life Insurance (Basic, Voluntary & AD&D)
  • Paid Time Off (Vacation, Sick & Public Holidays)
  • Family Leave (Maternity, Paternity)
  • Short Term & Long Term Disability
  • Training & Development

Apply