Principal Siop Optimization & AI Solutions Strategist

TAT Technologies ("TAT") is a fast-growing, profitable provider of aerospace thermal management, power and actuation products, and repair services. Established in 1969, TAT serves as a global partner to leading aerospace companies, delivering innovative solutions across commercial, defense, OEM, and MRO markets. With employees and operations in the U.S. and Israel, TAT is recognized for its flexibility, technical expertise, and commitment to customer success.

TAT Technologies' Tulsa site serves as the company's Center of Excellence for heat transfer manufacturing, MRO, and OEM solutions. Supporting commercial, regional, and military aircraft worldwide, the site delivers advanced thermal management solutions that enhance aircraft performance, improve reliability, and ensure operational and mission readiness.

We are seeking a Principal SIOP Optimization & AI Solutions Strategist to help drive TAT Tulsa's Sales, Inventory, and Operations Planning (SIOP) strategy while driving the adoption of AI tools, automation, and data-driven decision-making across the facility. This role serves as the key owner of SIOP execution and optimization, leveraging business analytics and emerging technologies to improve forecasting accuracy, operational performance, inventory management, and cross-functional alignment.

The ideal candidate combines deep expertise in SIOP and operational planning with strong analytical and AI capabilities. They can translate complex data into actionable business insights, communicate effectively with both technical and non-technical stakeholders, and champion a culture of continuous improvement through data, technology, and process excellence.

Responsibilities

SIOP & Operations Planning

• Lead the SIOP planning cycle including monthly and weekly meetings to review forecasts, inventory levels, and production schedules
• Collaborate with Sales, Supply Chain, and Operations to align supply and demand and develop effective planning strategies
• Analyze historical sales data and market trends to generate accurate forecasts and identify potential issues
• Monitor forecast accuracy and adjust strategies as necessary to keep the business aligned
• Work with production and procurement teams to develop and maintain production schedules that meet forecasted demand
• Optimize inventory levels to balance supply and demand while minimizing excess inventory and stockouts

Business Intelligence & Analytics

• Develop and maintain dashboards, KPI reporting, and data visualizations that give leadership real-time visibility into site performance across revenue, delivery, quality, and cost
• Partner with FP&A on financial modeling, variance analysis, and forecasting inputs that inform site P&L management
• Support Supply Chain with demand planning, material availability analysis, and inventory optimization
• Collaborate with Production to build data-driven insights around throughput, capacity utilization, and constraint identification
• Prepare and present performance reports including analysis of deviations from plan and actionable recommendations for senior leadership
• Utilize advanced data analysis techniques to identify trends, opportunities, and areas for improvement across the business

AI Integration & Transformation

• Serve as TAT Tulsa's internal AI champion, identifying, evaluating, piloting, and deploying AI tools that improve operational performance across Supply Chain, Finance, Production, and Quality
• Build the internal business case for AI investment, defining expected ROI and presenting recommendations to site and group leadership
• Connect and structure disparate data sources to create the clean, reliable data foundation that AI tools require to function effectively
• Drive automation of manual reporting and repetitive analytical processes, freeing the leadership team to focus on higher-value work
• Enable and train other functions to use AI tools effectively, building capability across the organization, not just within one team
• Monitor the AI landscape for tools and applications relevant to aerospace manufacturing and MRO, and bring forward recommendations proactively
• Partner with IT and Group resources to ensure AI tools are implemented securely and in alignment with company standards