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Big Data Manager Jobs in Ohio (NOW HIRING)

ERP Analysts

Big Data Training and Placement

Franklin, OH · On-site

$48.75 - $63.25/hr

... Management solutions. We are currently hiring ambitious individuals who are passionate to make a career in IT and utilize the opportunity to work for our clients. We are looking to fill a Software ...

ERP Analysts

Big Data Training and Placement

Columbus, OH · On-site

$51.25 - $66.50/hr

... Management solutions. We are currently hiring ambitious individuals who are passionate to make a career in IT and utilize the opportunity to work for our clients. We are looking to fill a Software ...

Pwc

Data Strategy-Manager

Columbus, OH · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Pwc

Data Strategy-Manager

Cleveland, OH · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

Pwc

Data Strategy-Manager

Cincinnati, OH · On-site

$99K - $232K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Industry/Sector Not Applicable Specialism Data, Analytics & AI Management Level Manager & Summary ... big data engineering tools - Proficiency in SQL and data visualization tools - Experience in ...

J.P. Morgan

Data Owner Lead

Columbus, OH

  • Medical

  • Retirement

Technical knowledge of data management and governance, big data platforms, or data architecture. * Demonstrated ability to manage delivery timelines, and ensure our product and organization is on ...

PNC Bank

Software Engineer I, MLOps (Python/Big Data)

Cleveland, OH · On-site

$111K - $133K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

We encourage candidates to connect with their recruiter and hiring manager to understand workplace ... This is an excellent opportunity for an engineer with strong Python and big data experience who ...

Monitise

Senior Cybersecurity Data Engineer

Columbus, OH · On-site

$109K - $182K/yr

You will interface with security Big Data environments, aiding in their design and configuration to analyze and present findings. You will work independently with internal clients and management on ...

JPMorgan Chase & Co

Data Owner Lead

Columbus, OH · On-site

  • Medical

  • Retirement

Technical knowledge of data management and governance, big data platforms, or data architecture. * Demonstrated ability to manage delivery timelines, and ensure our product and organization is on ...

JPMorgan Chase & Co.

Data Owner Lead

Columbus, OH · On-site

  • Medical

  • Retirement

Technical knowledge of data management and governance, big data platforms, or data architecture. * Demonstrated ability to manage delivery timelines, and ensure our product and organization is on ...

JP Morgan Chase

Data Owner Lead

Columbus, OH · On-site

  • Medical

  • Retirement

Technical knowledge of data management and governance, big data platforms, or data architecture. * Demonstrated ability to manage delivery timelines, and ensure our product and organization is on ...

Path Robotics

Manager, Manipulation Data Farm

Columbus, OH · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Big, hard problems are our everyday work, and our team of intelligent, humble, and driven people ... Translate data collection requests into executable operational plans, balancing priorities ...

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All JobsBig Data JobsBig Data Manager JobsBig Data Manager Jobs in Ohio

Big Data Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do big data manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for big data manager in Ohio is $92,355.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,700.00 and $119,300.00 per year, depending on experience, location, and employer.

What are some common challenges big data managers face when leading cross-functional teams?

Big Data Managers often navigate challenges such as aligning diverse technical expertise, ensuring clear communication across departments, and managing competing priorities between data science, engineering, and business stakeholders. They must balance the strategic vision with practical constraints like data privacy, scalability, and project deadlines. Successful managers foster collaboration by setting clear expectations, facilitating regular check-ins, and promoting a shared understanding of project goals.

What are the key skills and qualifications needed to thrive as a big data manager?

To thrive as a Big Data Manager, you need expertise in data architecture, analytics, database management, and a strong background in computer science or a related field. Familiarity with big data platforms like Hadoop, Spark, and tools such as SQL, NoSQL databases, and relevant certifications (e.g., AWS Big Data Specialty) is highly beneficial. Exceptional leadership, problem-solving, and communication skills help in managing teams and translating business goals into technical solutions. These skills are crucial for efficiently overseeing large-scale data projects and ensuring data-driven decision-making aligns with organizational objectives.

What is a big data manager?

A Big Data Manager is a professional responsible for overseeing the collection, storage, analysis, and use of large and complex data sets within an organization. They manage teams of data engineers, analysts, and scientists to ensure data is processed efficiently and securely. Big Data Managers also develop strategies to leverage data for business insights, make technology decisions, and ensure compliance with data governance policies. Their role bridges the gap between business objectives and technical solutions in the realm of big data.

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

AspectBig Data ManagerData Analyst
Required CredentialsBachelor's/Master's in Computer Science, Data Science, or related fields; often certifications in big data toolsBachelor's in Statistics, Data Science, or related fields; certifications in data analysis tools
Work EnvironmentLeads teams, manages data infrastructure, oversees big data projectsAnalyzes data sets, creates reports, visualizations for insights
Employer & Industry UsageUsed in tech, finance, healthcare industries managing large-scale data systemsCommon across various industries for data-driven decision making

The Big Data Manager focuses on overseeing big data infrastructure, managing teams, and ensuring data systems operate efficiently. In contrast, Data Analysts primarily interpret data, generate reports, and provide insights. Both roles require strong technical skills, but their responsibilities and focus areas differ significantly.

What are the most commonly searched types of Big Data jobs in Ohio?

The most popular types of Big Data jobs in Ohio are:

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

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

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

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

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

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

Big Data Manager jobs near you
Infographic showing various Big Data Manager job openings in Ohio as of August 2026, with employment types broken down into 88% Full Time, and 12% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Big Data with Scala

Avani Technology Solutions, Inc.

Columbus, OH • On-site

$54 - $71.25/hr

Full-time

Re-posted 17 days ago

Job description

Please find the requirement below. let me know your interest with Updated resume
Top Three Skills:
1. SCALA Developer who has used Spark, and has a strong understanding of Kafka ... ***will consider strong JAVA
2. Data Engineering - moving data from source systems (SAP, WMS, Order Mgt., Oracle/DB2). This person would also need to engineer and stage it.
3. Hadoop - on prem., MapR distribution (would also look at experience w/HortonWorks or Cloudera)
4. Experience pulling data from Supply Chain systems
Job Description:
L Brands is looking for a Big Data Engineer responsible for supporting Big Data analytics. Work closely with business partners to translate complex functional and technical requirements into high performing Big Data systems. Work on multiple projects as a technical lead
to develop, test, and deliver Big Data solutions.
Additional Information:
-Conducts logical and physical database design
-Identifies unique opportunities to collect new data.
-Designs ETL processes and data pipelines to build large, complex data sets.
-Strategizes new uses for data and its interaction with data design.
-Finds new uses for existing data sources.
-Conducts statistical modeling and experiment design.
-Discovers "stories" told by the data and presents them to business partners
-Tests and validates predictive models.
-Builds data visualization prototypes.
-Implements automated processes for efficiently producing scale models.
-Designs, modifies and builds new dataprocesses.
-Implement, configure, administer, monitor Hadoop clusters
-Implements new or enhanced software designed to access and handle data more efficiently.
-Prepare and communicate status, issues, and opportunities to the business.
-Provides technical assistance to junior team members
-Create, refine and enforce data management standards, policies, and procedures.
-Evaluates emerging Big Data technologies to develops next-generation Big Data analytics framework
-Responsible for problem escalation to appropriate L Brands teams and third parties as appropriate.
-Provide 24x7 on-call support
Authority:
-Recommend expenditures as required to meet Big Data support requirements.
-Recommend the initiation of Big Data support activities and projects .
-Recommend Big Data standards/directions/technologies.
Qualifications:
Required:
-4 year degree in Information Systems or an equivalent combination of course work
and job experience
-4-6 years experience with Big Data technologies and analytics

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