Job Description

Job Description

See what you’re missing. Our employees work on the world’s most advanced electronics – from detecting threats for F-35 pilots to illuminating the night for soldiers. Spanning air, land, sea, and space, we are developing the technology of tomorrow, delivered today. Drawing strength from our differences, we’re innovating for the future. And you can, too. Our flexible work environment provides you a chance to change the world without giving up your personal life. We put our customers first – exemplified by our mission: “We Protect Those Who Protect Us®.” Sound like a team you want to be a part of? Come build your career with BAE Systems.

 We are seeking a highly motivated Operations Business Analytics & Digital Transformation Manager to lead the integration of Artificial Intelligence (AI) into our defense manufacturing operations. This role will be a key liaison, bridging the gap between innovative AI technologies and our critical business needs. You will be responsible for developing and executing a multi-year AI strategy, driving adoption across functions like predictive maintenance, supply chain optimization, and quality inspection, while ensuring adherence to ethical guidelines and stringent defense regulations. Additionally, you will support Quality and Supply Chain teams with data management and reporting for key business reviews.

Key Responsibilities:

• AI Strategy & Roadmap: Develop and execute a multi-year AI strategy aligned with operational goals and a “Factory of the Future” vision.
• Project Leadership: Champion AI initiatives, acting as the primary advocate and educating stakeholders on the return on investment (ROI) of AI technologies (machine learning (ML), computer vision, generative AI) in a manufacturing environment.
• Cross-Functional Collaboration: Lead and collaborate with multidisciplinary teams (Data Science, Engineering, IT, Supply Chain) to drive projects from proof-of-concept to full-scale production implementation.
• Performance Measurement: Define and track Key Performance Indicators (KPIs) to measure the success of AI initiatives, focusing on areas such as scrap rate reduction, uptime improvements, and lead-time optimization.
• Data Management & Reporting: Support the Quality and Supply Chain teams in maintaining and updating the C4ISR CARB, and provide data-driven charts and analysis for Business Area and Factory Leadership Quarterly Business Reviews (QBRs). Ensure data integrity and consistency across all Product Lines, from the factory floor to executive leadership.

About BAE Systems Electronic Systems

BAE Systems, Inc. is the U.S. subsidiary of BAE Systems plc, an international defense, aerospace and security company which delivers a full range of products and services for air, land and naval forces, as well as advanced electronics, security, information technology solutions and customer support services. Improving the future and protecting lives is an ambitious mission, but it’s what we do at BAE Systems. Working here means using your passion and ingenuity where it counts – defending national security with breakthrough technology, superior products, and intelligence solutions. As you develop the latest technology and defend national security, you will continually hone your skills on a team—making a big impact on a global scale. At BAE Systems, you’ll find a rewarding career that truly makes a difference. Electronic Systems (ES) is the global innovator behind BAE Systems’ game-changing defense and commercial electronics. Exploiting every electron, we push the limits of what is possible, giving our customers the edge and our employees opportunities to change the world. Our products and capabilities can be found everywhere – from the depths of the ocean to the far reaches of space. At our core are more than 14,000 highly talented Electronic Systems employees with the brightest minds in the industry, we make an impact – for our customers and the communities we serve.

This position will be posted for at least 5 calendar days. The posting will remain active until the position is filled, or a qualified pool of candidates is identified.

Required Skills and Education

• Experience: 5-8+ years of experience in a manufacturing environment.
• Education: Bachelor’s or Master’s degree in Engineering, Data Science, Operations Management, or a related technical field.
• Technical Skills: Strong understanding of AI/ML fundamentals (Neural Networks, LLMs, Computer Vision). Hands-on development experience is not required, but a solid grasp of these concepts is essential.

Preferred Skills and Education

• Leadership & Transformation: Proven track record of successfully leading digital transformation initiatives.
• Security Awareness: Familiarity with cybersecurity challenges related to deploying AI in secure environments, including air-gapped or classified systems.

Typical Education and Experience

Typically a Bachelor's Degree and 8 years work experience or equivalent experience