Sr. Principal Engineer; Data Readiness Agile Product Owner (Onsite)

Date Posted:

2026-07-17

Country:

United States of America

Location:

US-CT-EAST HARTFORD-ETC ~ 400 Main St ~ BLDG ETC

Position Role Type:

Onsite

U.S. Citizen, U.S. Person, or Immigration Status Requirements:

U.S. citizenship is required, as only U.S. citizens are authorized to access information under this program/contract.

Security Clearance Type:

None/Not Required

Security Clearance Status:

Not Required

At RTX, the world's 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. 

Pratt & Whitney is a world leader in the design, manufacture and service of aircraft engines and auxiliary power systems and has been revolutionizing modern flight for over 100 years. Join us and help shape the future of aerospace and defense.

What You Will Do:

The Data Readiness Agile Product Owner will lead an Agile team responsible for preparing, standardizing, and enabling business process data to support advanced Digital/Artificial Intelligence (AI) capabilities across Military Engine Sustainment Operations. This role is central to defining and maturing Data‑as‑a‑Product practices to ensure data is high‑quality, trusted, reuseable and ready for enterprise AI integration.

As a P5‑level senior professional, the role requires expert domain leadership, the ability to influence across functional boundaries, and mastery of data, digital, and business processes. The position will drive strategic data readiness outcomes, manage complex and ambiguous problem spaces, and collaborate closely with Engineering, Sustainment Strategy, Digital Technology, Enterprise Data organizations, and business leaders.

• Serve as the Product Owner for an Agile team focused on preparing operational and sustainment data for digital and AI use cases, defining the product vision, roadmap, and value delivery. Manage and prioritize the backlog
• Lead development and implementation of Data‑as‑a‑Product frameworks, including ownership models, data quality expectations, metadata standards, and lifecycle management.
• Partner with cross‑functional stakeholders to identify business processes and data sets critical to AI readiness, including data profiling, gap assessment, cleansing, and transformation requirements. Be the voice of the business, gathering requirements, translating stakeholder needs into data requirements, and ensuring data solutions meet user and regulatory needs
• Translate business needs into prioritized user stories, acceptance criteria, and sprint objectives; ensure consistent delivery of measurable value aligned to business and sustainment strategies.
• Champion data quality, lineage, governance, and accessibility across sustainment operations; drive adoption of enterprise data platforms and standards.
• Collaborate with AI and digital engineering teams to ensure data products support machine learning, predictive analytics, automation, and digital workflow modernization.
• Work closely with data architects, data engineers, data scientists, analysts, and other product owners to ensure data is fit for purpose before it enters analytics or product pipelines
• Apply advanced problem‑solving and analytical skills to ambiguous, multi‑disciplinary data challenges, providing innovative and scalable solutions consistent with P5 expectations.
• Communicate program status, risks, and strategic impacts to senior leadership and external stakeholders; influence decisions that affect operations and long‑term data strategy.
• Participate in Sprint Planning, Stand-ups, Sprint Reviews, and Retrospectives, clarifying backlog items, resolving conflicts, and ensuring alignment between data readiness and product
• Analyze feedback and sprint outcomes to refines data readiness processes, improves backlog grooming, and adapts to changing business or data landscapes
• Coach and mentor team members, fostering a high‑performing and collaborative data‑driven culture.

Qualifications You Must Have :

• Bachelor’s degree with 10+ years of relevant experience, or an Advanced Degree with 7+ years of experience in engineering, digital technology, analytics, data management, or related discipline.
• Demonstrated experience as a Product Owner, Agile Lead, Scrum Master, or equivalent leadership role.
• Strong knowledge of Data as a Product, dat