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Associate Data Manager Jobs in Ohio (NOW HIRING)

Bread Financial

Data Scientist

Columbus, OH · On-site +1

$104K - $180K/yr

Associates have discretion in managing their time away from work through the Flexible Time Off (FTO ... Data and Analytics Job Type: Regular

JP Morgan Chase

Data Scientist Senior Associate

Columbus, OH · On-site

$57K - $57K/yr

As a Data Scientist Sr. Associate within the Consumer Bank Marketing Analytics team, you will ... Interpret results and present findings to stakeholders and senior management, including the CMO. * ...

YUSA

Data Entry Associate- Full Time

Washington Court House, OH · On-site

$15.25 - $19.75/hr

Data Entry Associate - Production Records We are seeking a detail-oriented and reliable Data Entry ... Generate daily reports for management based on entered data * Maintain organized records of all ...

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All JobsAssociate Data JobsAssociate Data Manager JobsAssociate Data Manager Jobs in Ohio

Associate Data Manager information

See Ohio salary details

$13

$31

$53

How much do associate data manager jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for associate data manager in Ohio is $31.44, according to ZipRecruiter salary data. Most workers in this role earn between $23.32 and $37.26 per hour, depending on experience, location, and employer.

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

To thrive as an Associate Data Manager, you need a solid background in data management principles, attention to detail, and a relevant degree such as in life sciences, computer science, or a related field. Familiarity with data management tools like EDC (Electronic Data Capture) systems, SQL, and knowledge of industry regulations (e.g., GCP, CDISC) or certifications like SCDM are typically required. Strong organizational skills, effective communication, and problem-solving abilities help you coordinate with cross-functional teams and ensure data integrity. These competencies are crucial for ensuring high-quality, compliant data collection and delivery in clinical trials or research environments.

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

AspectAssociate Data ManagerData Analyst
Required CredentialsBachelor's degree in data management, IT, or related field; certifications like CDMP are commonBachelor's degree in statistics, data science, or related field; certifications like CAP or Microsoft Data Analyst are common
Work EnvironmentTypically in data management teams within organizations, focusing on data integrity and database managementOften in business or research settings, analyzing data to generate reports and insights
Employer & Industry UsageUsed across industries like healthcare, finance, and tech for data governance rolesCommon in marketing, finance, and consulting for data-driven decision making

The main difference is that Associate Data Managers focus on maintaining and organizing data systems, while Data Analysts interpret data to provide insights. Both roles require strong analytical skills and familiarity with data tools, but their core responsibilities differ in scope and purpose.

What are some common challenges faced by an associate data manager when coordinating data collection across multiple sites?

Associate Data Managers often work with data from various clinical trial or research sites, which can present challenges such as ensuring data consistency, managing different site timelines, and addressing discrepancies in data entry. Effective communication and strong organizational skills are essential, as is familiarity with data management systems and regulatory requirements. Collaborating closely with site coordinators and senior data managers helps resolve issues quickly and maintain data integrity throughout the project.
What are the most commonly searched types of Data Manager jobs in Ohio? The most popular types of Data Manager jobs in Ohio are:
What are popular job titles related to Associate Data Manager jobs in Ohio? For Associate Data Manager jobs in Ohio, the most frequently searched job titles are:
What job categories do people searching Associate Data Manager jobs in Ohio look for? The top searched job categories for Associate Data Manager jobs in Ohio are:
What cities in Ohio are hiring for Associate Data Manager jobs? Cities in Ohio with the most Associate Data Manager job openings:
Associate Data Manager jobs near you
Infographic showing various Associate Data Manager job openings in Ohio as of August 2026, with employment types broken down into 80% Full Time, 19% Part Time, and 1% Contract. Highlights an 84% Physical, 3% Hybrid, and 13% Remote job distribution, with an average salary of $65,403 per year, or $31.4 per hour.

Sr. Manager, Data Engineering

Park Place Technologies

Highland Heights, OH • On-site

Full-time

Re-posted 15 days ago

Park Place Technologies rating

7.8

Company rating: 7.8 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

88th of 223 rated it services

Job description

Sr. Manager, Data Engineering
The Sr. Manager, Data Engineering is a key senior leader responsible for the strategy, architecture, and execution of the enterprise data engineering function. This leader will build and scale a high-performing team, drive strategy and design of the data engineering framework for reporting needs, facilitates strategy around the data warehouse, partners with other IT leaders to provide availability of data for AI/ML initiatives, assists with business intelligence, and core operational systems for seamless reporting. Reporting to senior technology leadership, this role serves as a strategic partner to IT, Analytics, and business stakeholders to ensure data is reliable, governed [in partnership with master data management], and accessible at scale.
This is a high-impact opportunity for a technically grounded, people-first leader who thrives in a fast-paced environment and is energized by building scalable systems during a period of significant growth, including M&A integration and cloud transformation.
Responsibilities:
  • Leadership & Strategy
    • Define and drive the enterprise data engineering roadmap, aligned to business and technology goals
    • Build, lead, and mentor a multi-disciplinary team of data engineers (10-15) and product owner(s) (1-2)
    • Partner with the CIO, Analytics, AI, and business leadership to prioritize and deliver data capabilities
    • Establish engineering standards, best practices, and an operational excellence framework across the data organization
    • Champion a culture of data quality, engineering rigor, and continuous improvement
  • Platform & Architecture
    • Architect and oversee scalable data pipelines, data lakes, warehouses, and real-time streaming infrastructure
    • Lead cloud-native data platform strategy and adoption across Azure, AWS, or GCP environments
    • Own the selection, implementation, and lifecycle management of data engineering tools and platforms
    • Ensure data platform reliability, performance, and cost efficiency at scale
    • Partner with Platform Development Architects and leadership on integration patterns across key enterprise systems, including ERP, ServiceNow, and supply chain platforms
  • Data Governance & Quality
    • Own and evolve the enterprise data governance framework, including data lineage, cataloging, and access controls
    • Define and enforce data quality standards, measurement, and remediation processes
    • Partner with Security and Legal to ensure compliance with data privacy regulations and policies
    • In partnership with the Director of Development and AI, drive adoption of clean, governed, AI-ready data as a core organizational asset.
  • Delivery & Operations
    • Manage team delivery across multiple concurrent programs, including integration workstreams from M&A activity
    • Lead data engineering support for AI/ML platform enablement
    • Oversee vendor relationships, contracts, and budget for data infrastructure and tooling
    • Establish SLAs, incident management, and monitoring for data platform operations

Basic Qualifications:
  • 10+ years of progressive experience in data engineering, data architecture, or a related technical discipline
  • 5+ years of people leadership experience, including managing and developing senior engineers and managers; Communication is a critical facet for this role with an ability to manage up, to the side or down.
  • Proven track record of architecting and delivering enterprise-scale data platforms in production
  • Deep expertise in modern data stack tooling (e.g., Azure SQL, Azure Fabric, Kafka, Snowflake, Databricks, or equivalents)
  • Strong cloud data platform experience on Azure, AWS, or GCP
  • Demonstrated experience in data governance programs and data quality frameworks
  • Ability to translate complex business requirements into pragmatic technical strategy and roadmaps
  • Strong executive communication skills; comfortable presenting to C-suite and board-level audiences
  • Experience operating in dynamic, growth-stage environments, including M&A integration preferred
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or related field; Master's preferred

Preferred Qualifications:
  • Experience in IT services, managed services, or enterprise technology industries
  • Familiarity with ERP, ServiceNow, or supply chain data ecosystems
  • Experience leading data strategy and integration through M&A events
  • Exposure to data mesh, data product, or federated governance models
  • Relevant certifications in cloud data platforms (e.g., AWS Certified Data Analytics, Azure Data Engineer Associate)
  • A strategic mindset paired with a bias for action and hands-on delivery
  • Passion for building reliable, scalable, and well-governed data systems
  • A collaborative and inclusive leadership style with the ability to influence across levels
  • Intellectual curiosity and a continuous improvement mindset
  • High standards for data quality and a commitment to engineering excellence

Travel:
  • 15%

Equal Opportunity Employer/Protected Veterans/Individuals with Disabilities
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.

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