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Data Privacy Manager Jobs in Ohio (NOW HIRING)

Knitwellgroup

Privacy Tools & Automation Analyst

Pataskala, OH · On-site +1

$79K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement automated Data Subject Access Request (DSAR) workflows across our brands ... Familiarity with cookie consent management, web and mobile privacy compliance, and tracking ...

KnitWell Group

Privacy Tools & Automation Analyst

Pataskala, OH · On-site

$79K - $94K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Design and implement automated Data Subject Access Request (DSAR) workflows across our brands ... Familiarity with cookie consent management, web and mobile privacy compliance, and tracking ...

Huntington

Data Catalog Delivery Lead

Columbus, OH

This role partners closely with Product Management, Metadata Governance, and Engagement teams to ... Proven experience in data governance, data privacy, and data protection * 2+ years hands-on ...

Huntington

Data Catalog Delivery Lead

Columbus, OH

This role partners closely with Product Management, Metadata Governance, and Engagement teams to ... Proven experience in data governance, data privacy, and data protection * 2+ years hands-on ...

EssilorLuxottica Group

Director Data Protection

Mason, OH

  • Medical

  • Retirement

  • PTO

Manages privacy complaints, breaches and investigations by regulatory authorities. * Interacts and ... In-depth experience with data privacy compliance and incident management, including implementation ...

EssilorLuxottica

Director Data Protection

Mason, OH · On-site

  • Medical

  • Retirement

  • PTO

Manages privacy complaints, breaches and investigations by regulatory authorities. * Interacts and ... In-depth experience with data privacy compliance and incident management, including implementation ...

Essilor

Director Data Protection

Mason, OH · On-site

  • Medical

  • Retirement

  • PTO

Manages privacy complaints, breaches and investigations by regulatory authorities. * Interacts and ... In-depth experience with data privacy compliance and incident management, including implementation ...

The Scotts Company LLC

Data Steward

Marysville, OH · On-site

$87K - $103K/yr

  • Medical

  • Dental

  • Retirement

Metadata Management: Manage and enhance metadata repositories, documenting data lineage ... Collaborate on Data Privacy Compliance: Support efforts to ensure compliance with data protection ...

The Scotts Miracle Gro Company

Data Steward

Marysville, OH · On-site +1

$87K - $103K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Metadata Management: Manage and enhance metadata repositories, documenting data lineage ... Collaborate on Data Privacy Compliance: Support efforts to ensure compliance with data protection ...

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Showing results 21-40

All JobsData Privacy JobsData Privacy Manager JobsData Privacy Manager Jobs in Ohio

Data Privacy Manager information

See Ohio salary details

$29.5K

$92.4K

$163.5K

How much do data privacy manager jobs pay per year?

As of Aug 14, 2026, the average yearly pay for data privacy 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.

How do you become a data privacy manager?

To become a data privacy manager, candidates typically need a bachelor's degree in fields like information technology, law, or cybersecurity, along with experience in data protection or compliance roles. Certifications such as CIPP (Certified Information Privacy Professional) or CIPM (Certified Information Privacy Manager) are often preferred. Strong knowledge of data privacy laws, risk management, and privacy tools is essential for success in this role.

What are the key skills and qualifications needed to thrive as a Data Privacy Manager?

To thrive as a Data Privacy Manager, you need a deep understanding of data protection laws (such as GDPR, CCPA), risk assessment, and information security principles, usually backed by a relevant degree and experience in data governance or compliance. Technical proficiency with data mapping, compliance management platforms, and certifications like CIPP or CIPM is often required. Strong communication, project management, and problem-solving skills help you effectively collaborate with stakeholders and lead regulatory initiatives. These competencies are essential to ensure organizational compliance, minimize legal risks, and build trust with clients and partners.

What does a Data Privacy Manager do?

A Data Privacy Manager is responsible for ensuring an organization complies with data protection regulations and best practices. They develop, implement, and oversee data privacy policies, conduct risk assessments, and work with legal and IT teams to safeguard sensitive information. Their role also includes training employees on data privacy, responding to data breaches, and staying updated on evolving privacy laws.

What are some typical challenges a Data Privacy Manager faces on the job?

Data Privacy Managers often encounter the challenge of keeping up with rapidly evolving privacy regulations and ensuring ongoing compliance across multiple jurisdictions. They must balance business needs with stringent privacy requirements, which can involve negotiating with various departments to implement necessary data protection measures. Additionally, responding to data breaches or privacy incidents quickly and effectively is a key part of the role. Overcoming these challenges requires strong attention to detail, ongoing training, and a collaborative approach to working with legal, IT, and business teams.

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

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

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

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

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

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

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

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

Data Privacy Manager jobs near you
Infographic showing various Data Privacy Manager job openings in Ohio as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% In-person job distribution, with an average salary of $92,355 per year, or $44.4 per hour.

Program Manager AI and Data

Supply Technologies LLC

Cleveland, OH

$50.25 - $68/hr

Full-time, Contractor

Posted 11 days ago

Supply Technologies rating

4.7

Company rating: 4.7 out of 10

Based on 13 frontline employees who took The Breakroom Quiz

Job description

Position Overview

We are seeking an execution-focused Program Manager for Data and AI to lead the digital transformation of our hybrid global supply chain network. In this role, you will bridge the gap between legacy operations, our modern SAP S/4HANA digital core, and advanced data science. You will orchestrate cross-functional teams to build scalable machine learning models and intelligent automation that consume and harmonize data across a fragmented ERP landscape. Your work will directly unlock the power of multi-system data to optimize inventory, embed predictive forecasting, and drive autonomous decision-making across our end-to-end supply chain.

Department: Information Technology / Data Science / Innovation

  • Reports To: Director of Data, Analytics and Development
  • Employment Type: Full-time or Contract to Hire
  • Location: On-Site
Key Responsibilities

Multi-ERP AI Strategy & Program Execution

  • Lead the end-to-end delivery roadmap for AI, machine learning, and advanced analytics initiatives across a hybrid ecosystem of modern SAP S/4HANA and legacy ERP systems
  • Manage schedules, milestones, dependencies, and resources for embedding intelligent technologies (e.g., SAP Business AI, custom cloud ML models) into diverse logistics and manufacturing workflows.
  • Orchestrate the deployment of predictive and generative AI models that harmonize data across fragmented systems to transform reactive workflows into unified, predictive operations.
  • Define and track program governance, agile delivery standards, and business ROI metrics for all data and AI deployments.

Data Harmonization & Integration Governance

  • Oversee the architectural orchestration of massive data volumes extracted from siloed legacy databases and SAP S/4HANA into unified cloud data platforms (e.g., SAP Datasphere, Snowflake, Databricks, AWS, or Azure).
  • Partner with data engineering teams to establish robust data cleansing, mapping, and harmonization pipelines, ensuring clean master data (materials, vendors, customers) across mismatched ERP platforms for AI model training.
  • Coordinate data extraction and ETL workflows across standard modules (e.g., SAP S/4HANA MM/SD/PP, legacy WMS, legacy TMS, and external IoT feeds).
  • Ensure hybrid data handling workflows comply with international logistics regulations, enterprise security policies, and global data privacy laws.

Stakeholder Alignment & Change Management

  • Serve as the central communication hub between executive supply chain leadership, legacy system technical teams, SAP functional analysts, and data science groups.
  • Translate highly complex data mapping, algorithmic methodologies, and hybrid architectural strategies into clear, value-driven business narratives for executive leadership.
  • Drive comprehensive change management and user-adoption frameworks to ensure plant, warehouse, and purchasing managers trust and adopt AI-driven recommendations despite underlying data fragmentation.
Technical Skills
  • ERP Landscape Expertise: Strong functional or technical familiarity with SAP S/4HANA core supply chain modules (MM, SD, PP) alongside an understanding of legacy transactional tables and relational databases.
  • Data Integration & Harmonization: Working knowledge of middleware, ETL/ELT pipelines, API frameworks, and cloud data ecosystems used to merge disparate data streams.
  • AI & Machine Learning: Foundational understanding of the machine learning lifecycle, predictive modeling, demand forecasting algorithms, or generative AI extensions for automated procurement and sourcing.
  • Methodologies: Expert mastery of Agile, Scrum, and SAP Activate or hybrid project deployment methodologies alongside delivery applications like Jira or Azure DevOps.

What Supply Technologies employees say

Pay

Benefits

Hours and flexibility

Workplace

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