Master Scheduler

Ingersoll Rand; Dublin; Hybrid; EUR 60,000 - 80,000; Full time

Benefits offered by this job

Holiday allowance

Pension scheme

Death in service

Cycle scheme

Health cover

Employee assistance program

Sick pay

LinkedIn Learning

Equity program

Job summary

Ingersoll Rand Ireland seeks a Master Scheduler to lead demand planning, inventory management, and data analytics across cross-functional teams. You will develop a rolling demand plan, balance service with working capital, and translate complex data into clear actions for leadership reviews.

The role emphasizes collaboration with Commercial, Operations, Finance, and Customer Service to strengthen planning discipline and improve forecast quality.

Qualifications

• 3 - 5 years of experience in production planning, master scheduling, supply planning, inventory management, or supply chain analytics.
• APICS CPIM certification preferred; candidates without certification must be willing to obtain it within 18 months of employment.
• Experience managing ERP planning systems, MRP processes, item master data, and inventory optimization initiatives.
• Experience developing reporting, dashboards, and performance metrics using BI tools (Power BI, Tableau, SQL, Excel, or equivalent).
• Experience utilizing AI-enabled analytical tools to improve planning effectiveness and business decision-making is preferred.

Responsibilities

• Lead the demand-planning cycle and develop a rolling 12–18 month demand plan by product family, item, customer, and market.
• Collaborate with Commercial, Finance, Customer Service, and Supply teams to capture market intelligence, promotions, new-product activity, risks, and opportunities.
• Analyse forecast accuracy, bias, demand volatility, backlog, and order trends; identify root causes and drive corrective actions.
• Develop and maintain inventory policies balancing service, availability, and working capital.
• Monitor inventory health including turns, days on hand, excess, and safety-stock performance.
• Coordinate cross-functional actions to reduce excess inventory and improve material availability.
• Create and maintain dashboards and reporting for demand, forecast performance, inventory, and planning execution.
• Translate data into actionable insights and recommendations for leadership reviews.
• Improve data quality and planning processes through standardisation and automation.
• Demonstrate AI-learning orientation by applying emerging AI capabilities to planning.

Skills

Demand planning

Inventory management

Data analytics

Cross-functional collaboration

ERP planning knowledge

Education

BS/BA in Business, Supply Chain, Operations, Engineering, or Data Analytics

Tools

Oracle ERP

Power BI

Excel

Tableau

Job description

Master Scheduler

Location

Hybrid

About Us

Ingersoll Rand is a Fortune 500 company with a passion for making lives better. We do this by living our values, and through a relentless focus on the success of our customers and partnering with our employees to think and act like owners. We believe in sustainability through the development and distribution of a broad range of global brands designed to meet the needs of our customers in both efficient and responsible ways. Ingersoll Rand is a diverse and inclusive environment. We are an equal opportunity employer, dedicated to hiring a diverse workforce.

Job Summary

This role is responsible for improving business performance through three core pillars: Demand Planning, Inventory Management, and Data Analytics. The position will develop and maintain a reliable demand plan, optimise inventory to balance customer service and working‑capital objectives, and translate complex data into clear insights and actions. Working cross‑functionally with Commercial, Operations, Finance, Customer Service, and Supply Planning teams, the role will strengthen planning discipline, improve forecast quality, reduce inventory risk, and support timely, fact‑based decisions.

Responsibilities

• Pillar 1 – Demand Planning
• Lead the demand‑planning cycle and develop a rolling 12–18 month demand plan by product family, item, customer, and market as appropriate.
• Collaborate with Commercial, Finance, Customer Service, and Supply teams to capture market intelligence, promotions, new‑product activity, risks, and opportunities.
• Analyse forecast accuracy, bias, demand volatility, backlog, and order trends; identify root causes and drive corrective actions.
• Prepare demand scenarios and recommendations for the SIOP process, clearly communicating assumptions, gaps, and business impacts.
• Pillar 2 – Inventory Management
• Develop and maintain inventory policies that balance service, availability, working capital, and operational risk.
• Monitor inventory health, including turns, days on hand, excess and obsolete exposure, slow‑moving stock, stock‑outs, and safety‑stock performance.
• Review and maintain ERP planning parameters, including lead times, lot sizes, safety stocks, order policies, and planning time fences.
• Coordinate cross‑functional actions to reduce excess inventory, prevent shortages, improve material availability, and achieve inventory targets.
• Pillar 3 – Data Analytics
• Create and maintain accurate dashboards and reporting for demand, forecast performance, inventory, service, backlog, and planning execution.
• Analyse large and complex data sets to identify trends, exceptions, constraints, and improvement opportunities.
• Convert analysis into clear insights, recommendations, and action plans for operational and leadership reviews.
• Improve data quality, reporting efficiency, and planning processes through standardisation, automation, and a continuous‑improvement mindset.
• Demonstrate a strong AI‑learning orientation by actively developing knowledge of emerging AI capabilities and identifying relevant applications within demand planning, inventory management, and analytics.
• Use approved AI tools to streamline processes, automate repeatable analysis and reporting, improve decision support, and deliver measurable productivity and quality improvements.

Basic Qualifications

• BS/BA degree in Business, Supply Chain, Operations, Engineering, Data Analytics, or a related discipline preferred.
• 3 - 5 years of experience in production planning, master scheduling, supply planning, inventory management, or supply chain analytics.
• APICS CPIM certification preferred; candidates without certification must be willing to obtain it within 18 months of employment.
• Experience managing ERP planning systems, MRP processes, item master data, and inventory optimization initiatives.
• Experience developing reporting, dashboards, and performance metrics using business intelligence and analytics tools (Power BI, Tableau, SQL, Excel, or equivalent).
• Experience utilizing AI‑enabled analytical tools and digital technologies to improve planning effectiveness and business decision‑making preferred.
• Proven experience driving service level improvements, inventory optimization, and cross‑functional supply chain performance initiatives.

Travel & Work Arrangements/Requirements

Hybrid

Key Competencies

• Strong analytical and problem‑solving skills with the ability to transform complex datasets into actionable business insights.
• Experience utilizing advanced reporting, visualization, and analytics tools (Power BI, Qlik, Snowflake, Excel Power Query, AI‑enabled analytics platforms, or similar).
• Strong understanding of inventory management principles, stocking strategy development, service level optimization, and supply chain performance metrics.
• Ability to effectively make complex decisions with limited information while balancing customer service, inventory, capacity, and financial objectives.
• Strong collaboration and influencing skills across Operations, Supply Chain, Commercial, Finance, and Customer Service functions.
• Highly proficient in ERP (Oracle R12) systems, MRP processes, planning data governance, and master data management.
• Excellent communication and stakeholder management skills with the ability to support, train and influence teams across multiple organizational levels.
• Continuous‑improvement mindset with the confidence to challenge assumptions and simplify or automate processes.

What We Offer

Salary Range

• 25 Days Holiday + Statutory Holidays (Option to purchase 5 days after probation period)
• Employer Pension Contribution scheme
• Death in Service Benefit of 4 x salary
• Cycle scheme (After probation period)
• VHI Health Cover
• Employee Assistance Program (EAP)
• Company Sick pay (After probation period)
• LinkedIn Learning (Full Free Access)
• Ownership Works equity program: we believe in the power of employee ownership. All full‑time permanent employees are eligible for a one‑time stock award after successfully completing one year of employment.

Ingersoll Rand Inc. (NYSE:IR), driven by an entrepreneurial spirit and ownership mindset, is dedicated to helping make life better for our employees, customers and communities. Customers lean on us for our technology‑driven excellence in mission‑critical flow creation and industrial solutions across 40+ respected brands where our products and services excel in the most complex and harsh conditions. Our employees develop customers for life through their daily commitment to expertise, productivity and efficiency. For more information, visit www.IRCO.com.