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Associate Data Manager Jobs in Ohio (NOW HIRING)

Delaware Nation Industries

The Data Integration Specialist provides technical support for data integration, data management ... Associate's or Bachelor's degree in Information Technology, Information Systems, Business, or a ...

Bechtel

Data & Communications Analyst

New Albany, OH · On-site

... to data management, analytics or computer science with 2 years of relevant technical experience; or an Associate's degree related to ES&H with 4 or more years of relevant technical experience.

Pwc

Data Engineer - Senior Associate

Cincinnati, OH · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Cleveland, OH · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Columbus, OH · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

Pwc

Data Engineer - Senior Associate

Toledo, OH · On-site

$77K - $202K/yr

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary At PwC, our people in data and analytics engineering focus on leveraging advanced ...

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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.

Business Banking Data Owner Senior Associate - Insurance

JPMorgan Chase & Co.

Columbus, OH • On-site

$92K - $140K/yr

Full-time

Medical, Retirement

Posted 8 days ago

JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 493 frontline employees who took The Breakroom Quiz

73rd of 170 rated banks

Job description


Job Description
As a Data Owner Senior Associate within Business Banking, you will be accountable for data created, provisioned, or consumed across Business Banking products and applications in support of business objectives, advanced analytics, operations, regulatory obligations, and reporting. You will partner with Product, Technology, Analytics, Operations, Risk, Control, and Data Management teams to ensure critical data is clearly defined, properly classified, well-documented, high quality, and protected throughout its lifecycle.
In this role, you will help advance Business Banking's data strategy by defining data requirements, uplifting metadata, supporting data integration into analytics platforms, and executing processes that identify, monitor, and mitigate data risks. You will also help translate business needs into clear data specifications, support remediation of data issues, and maintain documentation that improves data understanding, control, and reuse across the organization.
Job Responsibilities
  • Define and document the scope, meaning, purpose, ownership, and classification of critical Business Banking data.
  • Create plans for the development and delivery of product data to support strategic objectives, operations, analytics, AI/ML use cases, and reporting.
  • Document requirements for data accuracy, completeness, timeliness, lineage, metadata, and consumption across business and technology stakeholders.
  • Execute processes to identify, monitor, and mitigate data risks, including risks related to protection, retention and destruction, storage, use, access, and quality.
  • Partner with Technology, Product, Analytics, Operations, Risk, and Control teams to investigate data issues, identify root causes, and support timely remediation.
  • Support integration of Business Banking data into approved analytics and reporting platforms while maintaining data governance and control expectations.
  • Track workstreams, issues, KPIs, and deliverables to support transparent execution of data initiatives.
  • Maintain comprehensive documentation of data models, data structures, business rules, metadata, and data delivery processes.

Required Qualifications, Capabilities, and Skills
  • Bachelor's degree required.
  • 4+ years of experience in a data-related field, such as data management, data governance, data analytics, data engineering, product data, business analysis, or data quality.
  • Experience working with business or product data, including requirements definition, data documentation, issue analysis, or data controls.
  • Working knowledge of data management, metadata, data quality, privacy/security, retention, and governance concepts.
  • Ability to translate business needs into clear data requirements and partner with technology teams on implementation.
  • Strong analytical, problem-solving, communication, and stakeholder-management skills.
  • Proven ability to manage multiple workstreams and deliver through cross-functional partnerships.
  • Familiarity with SQL, database concepts, cloud or big-data platforms, or data modeling concepts.

Preferred Qualifications, Capabilities, and Skills
  • Business Banking, lending, deposits, servicing, payments, or small business financial services experience.
  • Experience with Snowflake, AWS, Databricks, Hadoop/Spark, Alteryx, Tableau, or similar data platforms/tools.
  • Experience with data governance frameworks, metadata repositories, data catalogs, lineage, data quality rules, or issue management.
  • Familiarity with Agile delivery, JIRA, user stories, technical specifications, or product/data operating models.
  • Experience supporting regulatory reporting, risk management, operational controls, or AI/ML data readiness.

About Us
Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals through a broad range of financial products. Our mission is to create engaged, lifelong relationships and put our customers at the heart of everything we do. We also help small businesses, nonprofits and cities grow, delivering solutions to solve all their financial needs.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
Equal Opportunity Employer/Disability/Veterans
About the Team
Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.
The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.

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