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Data Modernization Jobs in Ohio (NOW HIRING)

Chipotle

Lead Engineer, Data Engineering

Columbus, OH

$116K - $162K/yr

Experience with MPP platform and data modernization initiatives using PaaS/SaaS services. * Experience with data models (relational, Star schema, Data vault, Document, etc.). * Experience working ...

MethodHub

$56.75 - $73.25/hr

Data Platform & Modernization Oversight Guide design and evolution of cloud/onprem/hybrid data platforms. Define patterns for ingestion, transformation, analytics, ML/AI, and data sharing. Ensure ...

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Data Modernization information

What jobs in the US pay 300,000 a year?

In the field of data modernization, senior roles such as Data Science Directors, Chief Data Officers, and Data Engineering Managers can earn $300,000 or more annually, especially with extensive experience, advanced skills in cloud platforms, and leadership responsibilities. These positions often require a strong background in data architecture, analytics, and strategic planning, and may include bonuses or stock options that contribute to total compensation.

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 jobs make $1,000,000 a year?

In the field of data modernization, high-paying roles such as Chief Data Officer, Data Science Director, or Chief Technology Officer can earn over $1 million annually, especially in large organizations or tech companies. These positions typically require extensive experience, advanced skills in data management, leadership, and strategic planning, along with strong industry reputation and sometimes equity compensation.

What is data modernization?

Data modernization is the process of updating and transforming legacy data systems and infrastructure to more current, scalable, and efficient technologies. It often involves migrating data to cloud platforms, implementing new data management tools, and adopting modern analytics practices to improve data accessibility and decision-making.

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 are the key skills and qualifications needed to thrive in Data Modernization, and why are they important?

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.

Which 3 jobs will survive AI?

Data modernization roles such as data engineers, data architects, and database administrators are likely to persist as they require specialized knowledge of data systems, architecture, and security that AI cannot fully replicate. These jobs involve designing, managing, and securing complex data environments, often requiring certifications and hands-on expertise. Skills in data governance, cloud platforms, and programming remain essential for these positions.
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:
Data Modernization jobs near you
Product Data Specialist

Product Data Specialist

Cleveland Steel Container

Hudson, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 28 days ago

Job description

Cleveland Steel Container, an Employee Owned and World Class Steel Pail Manufacturing company, is seeking an enthusiastic, responsible, and customer-oriented individual that has a positive attitude and shares the values of our company culture, which is built around teamwork, family, honest communication and producing desirable results for our Hudson, OH corporate office.
INDUSTRY LEADING BENEFIT PROGRAM THAT INCLUDES LOW EMPLOYEE PREMIUMS FOR MEDICAL INSURANCE, UNMATCHED RETIREMENT PROGRAMS AS AN EMPLOYEE OWNER. DENTAL, VISION, LIFE AND DISABILITY INSURANCES. NEW EMPLOYEES ARE ELIGIBLE FOR 15 DAYS OF PAID VACATION PER CALENDAR YEAR AND 11 PAID COMPANY HOLIDAYS.
Function:
The Product Data Specialist is responsible for ensuring the accuracy, completeness, and consistency of product information across our business systems. This position serves as the business-side owner of product data quality and supports the company's long-term Master Data Management (MDM) strategy by maintaining, enriching, and validating product information within the Product Information Management (PIM) system. This role collaborates closely with IT, Supply Chain, Marketing, and Supplier Partners to align business requirements, system data fields, and digital assets. The Product Data Specialist will play a key role in bridging business needs with technical execution, ensuring product information is fit for use across quoting, sourcing, sales, and e-commerce channels.
Essential Duties and Responsibilities:
Collaborate with:
  • The IT team on data mapping, governance, and system connectivity.
  • Supply Chain teams to capture and maintain supplier product catalogs, specifications, and digital assets.
  • Marketing and E-Commerce teams to ensure customer-facing product information is complete, accurate, and current.
  • Engineering to ensure completeness of technical digital assets are maintained
  • Finance and Operations stakeholders for consistency of product identifiers, units of measure, and hierarchy alignment.

Maintain Product Information Accuracy
  • Administer and update product attributes, specifications, and digital assets within the PIM (Salsify) and ERP environments.
  • Validate supplier-provided data for accuracy, completeness, and format consistency.
  • Monitor and report data completeness using dashboards and key performance indicators (KPIs).
  • Support the MDM Journey
  • Act as the business representative in data governance and MDM discussions.
  • Collaborate with IT to define and understand how data fields map between systems (ERP, PIM, CRM, e-commerce).
  • Identify and document gaps or misalignments in data flows and escalate corrective actions as needed.
  • Monitor Cross-System Data Integrity
  • Maintain awareness of how product data is created, transformed, and used across the business.
  • Partner with IT on data structure requirements, testing, and validation during integration projects.
  • Support controlled change management processes for product-related data updates.
  • Coordinate supplier data collection and onboarding for new or revised products.
    Work with suppliers to standardize digital catalog information and ensure alignment with Pipeline's PIM data model.
  • Develop and publish regular reports on data health, completeness, and progress against governance standards.
  • Serve as a subject matter expert for product information standards and data usage.

Qualifications and Skills:
  • Bachelor's degree in Supply Chain, Business, Data Management, or related discipline.
  • 3-5 years of experience in product information, data management, or supply chain systems administration within a distribution (preferred) or manufacturing environment.
  • Working knowledge of Product Information Management (PIM) tools such as Salsify or equivalent.
  • Strong understanding of data quality principles, data structures, and cross-system data mapping.
  • Experience with ERP and e-commerce data flows preferred.

Ability to:
  • Lead by influence and collaborate effectively across teams and levels in the organization
  • Detail-oriented with the ability to identify data inconsistencies and drive corrective actions.
  • Comfortable collaborating with IT teams, understanding data flows without directly managing integrations.
  • Proficient in Excel or BI tools for data analysis and reporting.
  • Excellent communication skills - able to translate business needs into clear data requirements.

Impact:
This position is foundational to our digital transformation and data modernization strategy. By establishing reliable, complete, and consistent product data, the Product Data Steward ensures confidence in business decisions, supplier collaboration, and customer-facing content - creating a scalable foundation for future MDM, automation, and e-commerce growth.
Cleveland Steel Container was founded in 1963 to provide customers with a dependable steel pail. Currently, we have four pail plants located strategically throughout the United States to support our customers. At our Streetsboro facility, we have a metal stamping plant to provide component parts for our pails. Our goal is to continuously provide our customers with quality pails through excellent service at an outstanding value. Finally, we make good pails and deliver them on time!
Cleveland Steel Container offers a competitive salary based on commensurate experience and a comprehensive benefits program that includes medical, dental, and vision insurance, flexible spending accounts, 401k with company contribution, profit sharing, paid holidays and vacations, life insurance and short & long-term disability coverages along with an Employee Stock Ownership Plan (ESOP).
#INDC
Equal Opportunity Employer
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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