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Ai Program Manager Jobs in Cleveland, OH (NOW HIRING)

Senior Program Manager

Cleveland, OH · Hybrid

$112K - $113K/yr

Further is a data, cloud, and AI company whose focus is helping companies turn raw data into the ... SENIOR PROGRAM MANAGER What experience should you have: * 10+ years proven history of managing ...

SAP Program Manager Avon Lake, OH-Hybrid Contract-6 Months+ Skills Mandatory Skills : Project ... Champion adoption of SAP BTP, Embedded AI/Joule capabilities, and future-state digital ...

... AI/Joule capabilities, and future-state digital transformation. • Govern data migration, cutover planning, change management, business readiness, and benefit realization. • Own program financials ...

The AI Enablement Manager owns the delivery of Crowe's firmwide AI Enablement strategy within our ... This role leads the programs, learning, content, and measurement that drive adoption and effective ...

AI Strategist (CLE)

Cleveland, OH · On-site

$117K - $152K/yr

Expertise in change management processes and a deep appreciation for its value in enterprise ... Our total rewards program is designed for your protection, peace of mind, and overall well-being.

AI Strategist (CLE)

Cleveland, OH · On-site

$117K - $152K/yr

Expertise in change management processes and a deep appreciation for its value in enterprise ... Our total rewards program is designed for your protection, peace of mind, and overall well-being.

AI Strategist (CLE)

Cleveland, OH

$117K - $152K/yr

Expertise in change management processes and a deep appreciation for its value in enterprise ... Our total rewards program is designed for your protection, peace of mind, and overall well-being.

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Ai Program Manager information

See Cleveland, OH salary details

$37.4K

$104.3K

$152.3K

How much do ai program manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for ai program manager in Cleveland, OH is $104,250.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,100.00 and $128,500.00 per year, depending on experience, location, and employer.

What is an AI program manager?

An AI Program Manager is a professional responsible for overseeing and coordinating the planning, execution, and delivery of artificial intelligence projects within an organization. They work closely with data scientists, engineers, stakeholders, and business leaders to ensure AI initiatives align with business goals and are delivered on time and within budget. Their role often includes managing project timelines, resources, communication, and risk, while also keeping up with industry advancements and ensuring ethical AI practices. AI Program Managers bridge the gap between technical teams and business objectives, ensuring successful implementation of AI solutions.

What are some common challenges faced by AI program managers when coordinating cross-functional teams?

AI Program Managers often encounter challenges in aligning diverse teams—such as data scientists, engineers, product managers, and business stakeholders—toward shared project goals. Differences in technical backgrounds, communication styles, and priorities can lead to misunderstandings or delays. Successful AI Program Managers proactively facilitate clear communication, set well-defined milestones, and ensure that all team members understand the project's objectives and constraints. Building strong relationships across departments and maintaining adaptability are key strategies for overcoming these challenges.

What are the key skills and qualifications needed to thrive as an AI program manager, and why are they important?

To thrive as an AI Program Manager, you need expertise in project management, a strong understanding of AI concepts, and experience leading cross-functional teams, often supported by a degree in computer science or a related field. Familiarity with machine learning frameworks, cloud platforms, agile methodologies, and certifications such as PMP or Scrum Master are highly valuable. Excellent communication, problem-solving, and stakeholder management skills set standout professionals apart in this role. These abilities ensure projects are delivered on time, align with business goals, and effectively bridge the gap between technical and non-technical teams.

What is the difference between Ai Program Manager vs Data Scientist?

AspectAi Program ManagerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience in AI projectsBachelor's/Master's/PhD in CS, Statistics, or related; strong programming and statistical skills
Work EnvironmentOversees AI projects, collaborates with cross-functional teams, manages timelinesAnalyzes data, develops models, interprets complex datasets
Employer & Industry UsageTech companies, AI startups, R&D departmentsTech firms, finance, healthcare, research institutions

While both roles require technical expertise, the Ai Program Manager focuses on overseeing AI initiatives and project management, whereas the Data Scientist concentrates on data analysis and model development. The roles often collaborate but serve different functions within AI projects.

How much does an AI program manager make?

An AI program manager's salary typically ranges from $100,000 to $160,000 annually, depending on experience, location, and industry. Senior roles or those in high-demand areas can earn higher compensation, often including bonuses and stock options. Strong project management skills and knowledge of AI tools are important for this role.

What are popular job titles related to Ai Program Manager jobs in Cleveland, OH?

For Ai Program Manager jobs in Cleveland, OH, the most frequently searched job titles are:

What job categories do people searching Ai Program Manager jobs in Cleveland, OH look for?

The top searched job categories for Ai Program Manager jobs in Cleveland, OH are:

What cities near Cleveland, OH are hiring for Ai Program Manager jobs?

Cities near Cleveland, OH with the most Ai Program Manager job openings:

Infographic showing various Ai Program Manager job openings in Cleveland, OH as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 17% Part Time, and 5% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $104,250 per year, or $50.1 per hour.

Program Manager AI and Data

Supply Technologies LLC

Cleveland, OH

$50.25 - $68/hr

Full-time, Contractor

Posted 20 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

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