1

Technology Program Manager Jobs in Akron, OH (NOW HIRING)

Job Title Large Capital Project Manager/Program Manager Collaborate with Innovative 3Mers Around ... With a wide variety of people, global locations, technologies and products, 3M is a place where you ...

Authorizes veterinary technology program staff and students to treat patients * Properly manages any dental, medical or surgical emergencies * Interprets radiographs and conducts radiographic ...

Student Assistant, Veterinary Technology

Parma, OH · On-site

$15.50 - $19.75/hr

Learn proper time management, organization, and workplace professionalism. * Build responsibility ... Provide positive interaction and enrichment for animals housed in the Veterinary Technology Program.

Showing results 41-60

Technology Program Manager information

See Akron, OH salary details

$21

$49

$75

How much do technology program manager jobs pay per hour?

As of Aug 6, 2026, the average hourly pay for technology program manager in Akron, OH is $49.35, according to ZipRecruiter salary data. Most workers in this role earn between $37.69 and $58.65 per hour, depending on experience, location, and employer.

What is the difference between Technology Program Manager vs Project Manager?

AspectTechnology Program ManagerProject Manager
CredentialsTypically requires PMP, PgMP, or similar certificationsOften requires PMP or CAPM certifications
Work EnvironmentManages multiple related projects within tech programsFocuses on individual projects with specific deliverables
Industry UsageCommon in tech companies, IT departments, and software firmsUsed across various industries including tech, construction, and healthcare

The main difference is that a Technology Program Manager oversees multiple related projects within a technology program, focusing on strategic alignment and long-term goals. In contrast, a Project Manager handles specific projects with defined scopes and deliverables. Both roles require similar certifications but differ in scope and responsibilities.

How does a technology program manager typically collaborate with cross-functional teams during a project lifecycle?

A Technology Program Manager works closely with cross-functional teams—including engineering, product management, quality assurance, and business stakeholders—throughout the entire project lifecycle. They facilitate regular meetings to align on project goals, timelines, and deliverables, ensuring transparent communication and quick issue resolution. By acting as a central point of coordination, they help balance conflicting priorities, manage dependencies, and keep all team members accountable for their contributions. This collaborative approach is vital for delivering complex technology initiatives on time and within scope.

What does a technology program manager do?

A Technology Program Manager oversees the planning, execution, and delivery of technology-related projects within an organization. They coordinate cross-functional teams, manage resources, set timelines, and ensure that programs align with business goals. Their role often involves risk management, stakeholder communication, and ensuring that projects are completed on time and within budget. Technology Program Managers play a key part in driving innovation and implementing new technologies to support business growth.

What are the key skills and qualifications needed to thrive as a technology program manager?

To thrive as a Technology Program Manager, you need a strong background in project management, technical expertise, and experience with software development lifecycles, often supported by a bachelor's degree in a related field. Familiarity with tools like Jira, Microsoft Project, and certifications such as PMP or Agile/Scrum Master are commonly required. Exceptional leadership, stakeholder management, and communication skills help drive cross-functional teams toward shared goals. These abilities are crucial for ensuring that complex technology projects are delivered successfully, on time, and within budget.
What job categories do people searching Technology Program Manager jobs in Akron, OH look for? The top searched job categories for Technology Program Manager jobs in Akron, OH are:
What cities near Akron, OH are hiring for Technology Program Manager jobs? Cities near Akron, OH with the most Technology Program Manager job openings:
Infographic showing various Technology Program Manager job openings in Akron, OH as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 20% Part Time, 1% Temporary, and 3% Contract. Highlights an 94% Physical, 3% Hybrid, and 3% Remote job distribution, with an average salary of $102,640 per year, or $49.3 per hour.

Program Manager AI and Data

Supply Technologies LLC

Cleveland, OH • On-site

$50.25 - $68/hr

Full-time, Contractor

Posted 3 days ago

New


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

Get the full story on Breakroom