Business Intelligence & AI Integration Manager

TAT Technologies Ltd•Tulsa, OK

17h

About The Position

TAT Technologies (“TAT”) is a fast-growing, profitable provider of aerospace thermal management, power and actuation products, and repair services. With more than 60 years of industry experience, 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 and maintenance, repair, and overhaul (MRO) services. The site supports commercial, regional, rotary-wing, and military aircraft customers worldwide, providing high quality solutions that enhance aircraft performance, reliability, and mission readiness. We are seeking a Business Intelligence & AI Integration Manager to lead TAT Tulsa’s data intelligence strategy and driving the adoption of AI tools and automation across the facility. This role owns the intersection of AI integration, business analytics, and SIOP execution, turning data into decisions and technology into competitive advantage. The ideal candidate is a practitioner who understands AI tools deeply, communicates insights clearly to non-technical audiences, and has the drive to build a data-driven culture from the inside out.

Requirements

Bachelor’s degree in Supply Chain Management, Business Administration, Information Technology, Data Science, Engineering, or a related field
3 to 5 years of experience in analytics, SIOP, FP&A support, or operations planning preferably in a manufacturing or aerospace environment
Experience building AI platforms, automation tools, and machine learning applications relevant to manufacturing and supply chain
Proficiency in Microsoft platforms, Power BI, Power Automate, Copilot
Proficiency in ERP systems and SIOP tools (Pentagon 2000 experience a plus)
Proficiency in Python and SQL, with the ability to modernize legacy IT platforms and migrate them to modern technology solutions
Knowledge of defense contractor compliance requirements and processes (GCC High, CMMC, DFARS, ITAR, etc.)
Strong analytical and problem-solving skills with the ability to interpret and communicate complex data to non-technical audiences
Self-starter with the ability to manage multiple priorities independently and drive initiatives through to completion
Excellent communication and stakeholder management skills across all levels of the organization

Nice To Haves

Professional certification such as APICS CPIM, CSCP, CBAP, or PMI-PBA preferred

Responsibilities

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
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
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