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Data Processing Manager Jobs in Canton, OH (NOW HIRING)

In-depth process knowledge of related manufacturing equipment/processes and/or operations processes. - Ability to manage multiple priorities. * Ability to analyze and interpret data and Key ...

Manage truck inventory cycle counting process. * Manage new truck inventory set up process ... Strong attention to detail, especially when dealing with data. * High degree of financial acumen.

Improve workflows by documenting repeatable processes and tightening handoffs Risk, Issue, and Quality Management * Escalate title issues, data gaps, or delays and coordinate with legal and curative ...

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Data Processing Manager information

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$32.2K

$49.1K

$64K

How much do data processing manager jobs pay per year?

As of Aug 19, 2026, the average yearly pay for data processing manager in Canton, OH is $49,057.00, according to ZipRecruiter salary data. Most workers in this role earn between $39,700.00 and $58,400.00 per year, depending on experience, location, and employer.

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

To thrive as a Data Processing Manager, you need expertise in data management, analysis, and process optimization, typically supported by a degree in computer science, information systems, or a related field. Familiarity with database management systems (DBMS), ETL tools, and data governance frameworks, along with certifications like Certified Data Management Professional (CDMP), is often required. Strong leadership, problem-solving, and communication skills help you effectively lead teams and collaborate across departments. These skills are crucial for ensuring data integrity, efficient workflows, and informed decision-making within an organization.

What are the typical challenges faced by a data processing manager when overseeing large-scale data projects?

Data Processing Managers often encounter challenges such as ensuring data quality and consistency across multiple sources, managing tight project deadlines, and coordinating with cross-functional teams like IT, analytics, and compliance. They must stay updated on evolving data processing technologies while maintaining security and privacy standards. Effective communication and adaptability are essential, as priorities may shift quickly based on organizational needs or data integrity issues.

What does a data processing manager do?

A data processing manager oversees the collection, organization, and analysis of data within an organization. They coordinate data workflows, ensure data quality, and implement processing systems using tools like SQL, Python, or data management software. Strong leadership, technical skills, and understanding of data security are essential for this role.

What cities near Canton, OH are hiring for Data Processing Manager jobs?

Cities near Canton, OH with the most Data Processing Manager job openings:

Infographic showing various Data Processing Manager job openings in Canton, OH as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 14% Part Time, and 1% Contract. Highlights an 93% Physical, 2% Hybrid, and 5% Remote job distribution, with an average salary of $49,057 per year, or $23.6 per hour.

Head of Data & Analytics

AVI Foodsystems, Inc.

Akron, OH • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 26 days ago


AVI Foodsystems rating

6.2

Company rating: 6.2 out of 10

Based on 171 frontline employees who took The Breakroom Quiz

34th of 68 rated caterers


Job description

AVI Foodsystems is looking for an energetic and optimistic team member to fill the role of Head of Data & Analytics.
Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.
The Mission:
Transform the company's data from a "back-office cost center" into a "strategic enterprise asset." This leader will oversee the decommissioning of legacy financial systems, the stabilization of the modern Cloud ERP ecosystem, and the orchestration of a unified Data Lakehouse across high-scale engineering and business intelligence platforms.
Executive & Strategic Responsibilities
  • C-Suite Advisory: Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. You will provide the technical clarity needed for executive decision-making and long-term investment planning.
  • Sales & Account Partnership: Act as a "Technical Executive" in the field, supporting Account Executives during high-stakes negotiations with major customers. You will demonstrate the value of the organization's data maturity and security posture to win and retain key enterprise accounts.
  • Customer-Centric Innovation: Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real-world customer needs.
  • Enterprise Data Model (EDM) Leadership: Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. You will ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.
  • Team Scaling (1 to Many): Lead the evolution of the data organization from its current state to a full-service department. You are responsible for hiring, onboarding, and scaling a high-performing team while fostering a culture of excellence.
  • The "Player-Coach" Approach: Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. You will lead by example, providing hands-on technical guidance while coaching the team toward self-sufficiency.

Ideal Candidate Profile
  • Executive Presence: Proven track record of working alongside C-Suite leaders and presenting to external enterprise-level stakeholders.
  • Experience: 10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer-facing or sales-support capacity is highly preferred.
  • Technical Mastery: Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"�deep enough to review architecture, yet broad enough to lead AI/ML strategy.
  • Leadership Style: A natural Player-Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.

Initial 90-Day Priorities
  1. Strategic Alignment: Meet with the C-Suite and top Account Executives to identify the data points most critical to customer satisfaction and revenue growth.
  1. Architecture & Model Audit: Review the state of the 100+ internal apps and the existing data model to identify gaps against industry standards.
  1. Hiring & Capacity Planning: Assess current team capabilities and begin the recruitment process to scale the department.

Benefits:
  • A family culture and atmosphere
  • Competitive compensation
  • Health, dental, vision, and life insurance for full-time team members
  • 401(k) with generous company match
  • Paid vacations and holidays
  • Immense training and growth opportunities

We conduct pre-employment drug testing. EOE
#LI-DP1

What AVI Foodsystems employees say

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About AVI Foodsystems

Sourced by ZipRecruiter

Founded in 1960, AVI Foodsystems has evolved into one of the most respected and trusted food service companies in the nation. Providing comprehensive food services with a focus on the highest quality and freshest ingredients, impeccable service and total value is the reputation we have earned and live up to everyday.

Industry

Food services and drinking places

Company size

5,001 - 10,000 Employees

Headquarters location

Warren, OH, US

Year founded

1960

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