Data Engineer Manager

• Bachelor’s degree in Industrial Engineering, Data Science, Computer Science, Statistics, or related field (Master’s preferred).
• 7+ years of experience in data analytics, with ≥3 years in a leadership role preferred.
• Demonstrated success delivering analytics solutions in a manufacturing or heavy industry environment.
• Proficiency in SQL, Python/R, statistical modeling, and data visualization tools (Power BI, Tableau, Spotfire).
• Strong understanding of industrial engineering concepts (process mapping, lean, Six Sigma) and operational metrics.

WHAT WE'RE DOING

At Sikorsky, we’re driving innovation and operational excellence across Rotary Operations and Quality. We’re committed to equipping our teams with the best training and resources to deliver top-notch manufacturing performance. This includes creating, delivering, and continuously improving technical training programs that empower our workforce to excel, from new hires to seasoned professionals.

THE WORK

• Strategic Leadership
• Define and execute an analytics roadmap aligned with IE and operations priorities (capacity planning, productivity, cost reduction, quality improvement).
• Partner with IE, Operations, Quality and Supply Chain and Finance leaders to translate business challenges into analytical solutions.
• Team Management
• Recruit, mentor, and develop a team of data engineers and analysts.
• Set performance metrics, career development plans, and promote a collaborative, innovative team culture.
• Analytics Delivery
• Oversee end to end projects: data acquisition, cleaning, modeling, validation, and visualization.
• Deliver dashboards, KPI reports, predictive models, and optimization tools on schedule.
• Technical Governance
• Champion data governance, security, and compliance best practices.
• Standardize data pipelines, documentation, and version control processes.
• Continuous Improvement
• Evaluate emerging analytics technologies (ML/AI, advanced simulation) for relevance to manufacturing.
• Foster a culture of rapid prototyping, experimentation, and iterative learning.

We are a team that thrives on precision, quality, and innovation. We’re committed to creating a culture of continuous improvement where learning is at the forefront. At Sikorsky, we leverage cutting-edge technology and deep industry expertise to push the boundaries of what’s possible in aerospace manufacturing. Collaboration and leadership are embedded in everything we do, and we are proud to be part of a company that values growth and development at all levels.

Who You Are

Sikorsky Operations at Lockheed Martin is seeking an experienced analytics leader to head a high performing Data Analytics team that partners with Industrial Engineering and Operations leadership supporting all Product Centers at Sikorsky. The Manager will shape the analytics strategy, deliver data driven solutions that improve productivity, reduce cost, enhance quality, and cultivate a culture of data enabled decision making across manufacturing and operational functions.

WHY JOIN US

At Sikorsky, you’ll be joining a company that values innovation, collaboration, and continuous learning. In this role, you’ll have the opportunity to shape the future of our workforce by driving critical training initiatives that impact the entire organization. We offer a dynamic environment where your leadership will play a pivotal role in supporting both individual and organizational growth. If you’re ready to make a meaningful impact and be part of a team that’s pushing the aerospace industry forward, this is the role for you.

Desired Skills

• Excellent communication skills; ability to convey complex technical ideas to non technical audiences.
• Familiarity with MES / ERP (SAP, Oracle) data structures.
• Lean Six Sigma certification (Green Belt or higher) or equivalent continuous improvement expertise.
• Proven problem solving mindset, proactive ownership, and strategic thinking.
• Ability to influence senior leadership and drive organization wide change.

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.