Product Owner & Data Engineering Lead - Supply Chain & Manufacturing - RTX

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At RTX , the world largest aerospace and defense company, 185,000 great minds are united by purpose and inspired to make a difference solving the world’s most complex problems. With our three market leading businesses, world-class operations and investments in research and development, we offer capabilities and opportunity no one else can. Together, we push the boundaries of known science and find new ways to connect and protect our world. Join us and help shape the future of aerospace and defense.

RTX Corporation is an Aerospace and Defense company that provides advanced systems and services for commercial, military and government customers worldwide. It comprises three industry-leading businesses – Collins Aerospace Systems, Pratt & Whitney, and Raytheon. Its 185,000 employees enable the company to operate at the edge of known science as they imagine and deliver solutions that push the boundaries in quantum physics, electric propulsion, directed energy, hypersonics, avionics and cybersecurity. The company, formed in 2020 through the combination of Raytheon Company and the United Technologies Corporation aerospace businesses, is headquartered in Arlington, VA.

To realize our full potential, RTX is committed to creating a company where all employees are respected, valued and supported in the pursuit of their goals. We know companies that embrace diversity in all its forms not only deliver stronger business results, but also become a force for good, fueling stronger business performance and greater opportunity for employees, partners, investors and communities to succeed.

The following position is to join our RTX PST (Process & System Transformation) Team as a Product Owner & Data Engineering Lead for Supply Chain & Manufacturing.

What You Will Do

Technical Product Leadership

Design domain-aware data products aligned to the business process hierarchy (items/BOMs, routings, work orders, inventory movements, quality events, logistics flows).

Lead data engineering and integrations across ERP, MES, PLM with robust ELT, data quality, lineage, and governance.

Develop analytics solutions including inventory optimization, backlog health, margin insights, scrap reduction, and various products.

Advance capabilities from data modeling, reports and dashboards to GenBI while ensuring security and compliance.

Product Management & Delivery

Develop and communicate product roadmaps from reporting to AI-driven analytics.

Own the product backlog, driving sprint planning, prioritization, and iterative delivery.

Act as liaison betwee