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Remote Demand Planner Jobs in Ohio (NOW HIRING)

National Account Manager The Home Depot

Delaware, OH · Remote

$92K - $118K/yr

Location: Midland, MI or Wilmington, DE preferred; remote candidates will also be considered ... Leads demand planning, forecasting, and inventory alignment with internal teams to support service ...

Customer Senior Analyst

Mason, OH · Remote

$82K - $109K/yr

... Demand Planning, Analytic Insights, etc.) * Provides input into integrated customer plan and ... Lead Broker Assistant projects #LI-Remote What we look for: Experience * Typically requires 2-4 ...

Customer Senior Analyst

Mason, OH · Remote

$82K - $109K/yr

... Demand Planning, Analytic Insights, etc.) * Provides input into integrated customer plan and ... Lead Broker Assistant projects #LI-Remote What we look for: Experience * Typically requires 2-4 ...

Works with the Supply Planner to understand and communicate customer demand. * Customer: OTIF ... ASCM CPIM or CSCP Certification (preferred; can obtain on the job) #LI- remote We understand that ...

Client Service Representative

Cleveland, OH · Remote

$15.50 - $21/hr

Currently our needs demand representatives who possess skills using chat, email and telephone ... Provide remote assistance to Kurv merchants in the use of their equipment or gateway service.

Senior Scientist

Dayton, OH · On-site +1

$88K - $121K/yr

Experience supporting collection planning and requirements definition for remote sensing systems ... Why Choose GRVTY The toughest national security challenges demand vision and ingenuity, not just ...

Showing results 21-40

Remote Demand Planner information

What are some common challenges faced by remote demand planners and how are they addressed?

Remote Demand Planners often face challenges such as coordinating with cross-functional teams in different locations, adapting to rapidly changing market trends, and ensuring data accuracy across various systems. Successful planners use collaborative tools (like Slack, Teams, or Zoom) and robust forecasting software to maintain clear communication and data consistency. They also participate in regular virtual meetings to align with sales, supply chain, and production teams, and use analytical techniques to adjust forecasts as new information emerges. Being proactive and detail-oriented helps them stay ahead of potential issues and deliver reliable demand plans.

What is a remote demand planner?

A Remote Demand Planner is responsible for forecasting product demand, analyzing sales data, and ensuring inventory levels meet customer needs, all while working remotely. They use historical data, market trends, and collaboration with sales and supply chain teams to optimize stock levels and minimize shortages or excess inventory. This role requires strong analytical skills, proficiency in demand planning tools, and effective communication to coordinate with cross-functional teams. Working remotely, they utilize digital tools to manage forecasts, monitor trends, and make data-driven decisions to support business goals.

What are the key skills and qualifications needed to thrive in the remote demand planner position, and why are they important?

To thrive as a Remote Demand Planner, you need strong analytical skills, supply chain knowledge, and a relevant degree in business, logistics, or a related field. Proficiency in demand planning software (such as SAP APO, Oracle Demantra, or Kinaxis) and advanced Excel skills are typically required, and certifications like APICS CPIM are highly valued. Exceptional communication, problem-solving, and self-motivation are crucial soft skills, especially when working remotely. These capabilities enable accurate forecasts, effective cross-functional collaboration, and the ability to adapt quickly to shifting market dynamics.

What are the most commonly searched types of Demand Planner jobs in Ohio? The most popular types of Demand Planner jobs in Ohio are:
What cities in Ohio are hiring for Remote Demand Planner jobs? Cities in Ohio with the most Remote Demand Planner job openings:
Infographic showing various Remote Demand Planner job openings in Ohio as of August 2026, with employment types broken down into 60% Full Time, 35% Part Time, and 5% Contract. Highlights an 69% Physical, 1% Hybrid, and 30% Remote job distribution.

Lead Agentic AI Engineer-US Remote - US-OH,Columbus

Hexion, Inc.

Columbus, OH • On-site, Remote

$99K - $130K/yr

Full-time

Re-posted 17 days ago


Hexion rating

7.0

Company rating: 7.0 out of 10

Based on 6 frontline employees who took The Breakroom Quiz

75th of 100 rated chemical manufacturers


Job description

Company Overview
Imagine Everything. Build the Future with Hexion.
At Hexion, we push boundaries, rethink possibilities, and create real impact. We activate science to deliver progress-developing breakthrough solutions that strengthen industries, protect communities, and drive a more sustainable future.
This is where bold thinkers, problem-solvers, and innovators come together to shape what's next. Whether you're engineering advanced materials, transforming manufacturing technologies, or leading strategic innovation, your ideas and actions leave a lasting mark. We cultivate an inclusive culture of growth, collaboration, and accountability, ensuring every contribution propels us forward.
We don't follow the status quo-we challenge it, disrupt it, and improve it. Every role at Hexion is part of something bigger.
We invest in innovation, sustainability, and continuous development-equipping you with the tools, training, and opportunities to excel. With an unwavering commitment to safety, partnership, belonging, and impact, we empower you to lead change and strengthen industries worldwide.
Your Future Starts Here.
If you're ready to push limits, reimagine what's possible, and create the extraordinary, Hexion is where you belong.
Anything is possible when you imagine everything.
Job Responsibilities
  • Serve as the engineering lead for Agentic AI delivery across Supply Planning and Manufacturing - owning the design, development, and deployment of production-grade AI agent solutions.
  • Architect and build multi-agent AI systems using Azure AI Agent Service, AutoGen, Semantic Kernel, and/or LangChain/LangGraph - including orchestrator-executor patterns, tool calling, memory management, and agent coordination.
  • Implement the MCP to surface enterprise data as structured context for AI agents operating in supply chain and manufacturing workflows.
  • Build and deploy generative AI solutions on Azure AI Foundry - RAG-based knowledge agents, decision support for forecasting and capacity planning, and document intelligence for maintenance work orders and recipes.
  • Design and deliver AI copilots and topic-based agents using Microsoft Copilot Studio - enabling Supply Planning and Manufacturing teams to access insights and take action directly from Teams and Outlook.
  • Act as the AI delivery owner for agentic use cases - scoping business problems with stakeholders, defining agent capabilities and tool surfaces, prioritizing the roadmap, and driving adoption.
  • Apply emerging agentic AI patterns - including ReAct, Plan-and-Execute, reflection, and human-in-the-loop - for supply chain and operational use cases.
  • Partner with Supply Chain leadership, Demand Planning, Process Engineering, Maintenance Ops, and Plant teams to identify, scope, and deliver AI use cases that influence operational decisions.
  • Define and maintain AI agent governance - prompt versioning, tool auditing, evaluation frameworks, observability, and safety guardrails for production deployments.
  • Develop on Azure Databricks - PySpark and SQL against gold/platinum Delta tables, notebooks for transformation and feature work, and orchestration via Workflows.
  • Build and maintain Power BI reports and semantic models that serve as grounding data for AI agents and executive dashboards across Supply Planning and Manufacturing.
  • Own Supply Chain AI metrics alignment cadence - keeping priorities, status, and roadblocks visible to Supply Chain and Manufacturing leadership.
  • Mentor analysts and engineers on agentic AI design patterns, MCP, and AI delivery best practices.

Minimum Qualifications
Education & Experience (one of the following):
  • Master's degree in Mathematics, Computer Science, Data Science, Information Systems, Engineering, or a related field with 5+ years of relevant analytics / AI experience, OR
  • Bachelor's degree in Chemical, Industrial, Computer Science, or related fields with 8+ years of relevant analytics / AI experience.

Technical:
  • Hands-on experience with the MCP - building or consuming MCP servers/clients; ability to expose enterprise data sources (databases, APIs, SharePoint, ERP) as MCP tools for AI agents.
  • Hands-on experience with multi-agent system design - designing and implementing multi-agent architectures; orchestrator-executor patterns, tool calling, memory management, and agent coordination using AutoGen, Semantic Kernel, LangChain/LangGraph, or Azure AI Agent Service.
  • Strong Python engineering skills - building production-grade AI agents and pipelines, including REST API integration, prompt versioning, evaluation frameworks, and observability for LLM-based systems.
  • Compulsory - must have hands-on experience with two or more of the following:
  • Azure AI Foundry (RAG pipelines, prompt flows, agent service)
  • Microsoft Copilot Studio (agents, topics, actions, Power Automate integration)
  • Microsoft 365 Copilot extensibility (plugins, connectors, Graph APIs)
  • Microsoft Power BI (DAX, semantic modeling, performance tuning)
  • Strong proficiency in Databricks (Python, SQL, Delta Lake, PySpark, notebooks).
  • Strong functional understanding of Supply Planning (S&OP, demand/supply planning, inventory, order management) and/or Manufacturing (plant maintenance, capacity planning, OEE).
  • Experience with SAP ECC / S/4HANA supply chain and manufacturing modules (MM, PP, SD, PM).
  • Ability to translate business problems into agentic AI solutions and communicate clearly to technical and executive audiences.
  • Strong collaboration and stakeholder management skills in cross-functional environments.

Preferred Qualifications
  • Experience deploying AI agents in production - evaluation frameworks, safety guardrails, logging, and human-in-the-loop workflows.
  • Familiarity with agentic design patterns (ReAct, Plan-and-Execute, reflection, structured tool outputs).
  • Familiarity with knowledge graphs or graph databases (e.g., Neo4j) for agent reasoning and grounding.
  • Strong Power BI experience - semantic modeling, performance optimization, executive dashboard design.
  • Experience in chemicals, manufacturing, or process industries.
  • Experience with Palantir Foundry (pipelines, ontology, Workshop, AIP).
  • Exposure to MLOps on Azure (Azure ML, MLflow, Databricks Asset Bundles, CI/CD for analytics).
  • Experience designing operational KPI frameworks (MAPE, OTIF, service level, OEE, downtime).
  • Experience with containerization (Docker), version control (Git), and modern software engineering practices.

Other
We are an Equal Opportunity, Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to gender, pregnancy, race, national origin, religion, age, sexual orientation, gender identity, veteran or military status, status as a qualified individual with a disability or any other characteristic protected by law.
To be considered for this position candidates are required to submit an application for employment through our career site and, be at least 18 years of age. Any offer of employment will be conditioned upon successful completion of a drug test and background investigation, as well as authorization for the Company to conduct additional periodic background checks as required by the Chemical Facility Anti-Terrorism Standards (CFATS) or regulations adopted by the department of Homeland Security or other regulatory agencies. A prior criminal record is not an automatic bar to employment, and the Company will conduct an individualized assessment and reassessment, consistent with applicable law, prior to making any final employment decision.

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