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

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, data governance, data lifecycle management, and data quality principles.
• Working knowledge of AI, machine learning concepts, and digital technologies.
• U.S. citizenship required due to government/DoD program access requirements.

Qualifications We Prefer:

• Experience in Aerospace, Military Engines, Sustainment Operations, or related high-reliability engineering environments.
• Hands-on experience with enterprise data platforms, data cataloging, data lineage tooling, or cloud-based analytics ecosystems.
• Background in process modeling, system integration, digital transformation, or AI/ML model enablement.
• Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or equivalent Agile certification.
• Experience translating business strategy into data-centric product roadmaps and measurable execution plans.
• Demonstrated ability to create new processes, standards, and solutions using industry best practices - aligned to P5 expectations for innovation and strategic impact.
• A degree in a data- or analytics-related field

What You Will Influence:

In this role, you will shape the way sustainment data is structured, governed, and leveraged across the enterprise - enabling AI-driven insights that improve readiness, reliability, and decision-making across Military Engine sustainment. Consistent with P5-level impact, your work will directly influence operational performance, data strategy, cross-functional integration, and the future of digital sustainment.

Learn More & Apply Now!

In addition to transforming the future of flight, we are also transforming how and where we work. We've introduced role types to help you understand how you will operate in our blended work environment. This role is:

Onsite: Employees who are working in Onsite roles will work primarily onsite. This includes all production and maintenance workers, as they are essential to the development of our engines.

Candidates will learn more about role type and current site status throughout the recruiting process. For onsite and hybrid roles, commuting to and from the assigned site is the employee's personal responsibility.

As part of our commitment to maintaining a secure hiring process, candidates may be asked to attend select steps of the interview process in-person at one of our office locations, regardless of whether the role is designated as on-site, hybrid or remote.

The salary range for this role is 132,400 USD - 251,600 USD. The salary range provided is a good faith estimate representative of all experience levels. RTX considers several factors when extending an offer, including but not limited to, the role, function and associated responsibilities, a candidate's work experience, location, education/training, and key skills.

Hired applicants may be eligible for benefits, including but not limited to, medical, dental, vision, life insurance, short-term disability, long-term disability, 401(k) match, flexible spending accounts, flexible work schedules, employee assistance program, Employee Scholar Program, parental leave, paid time off, and holidays. Specific benefits are dependent upon the specific business unit as well as whether or not the position is covered by a collective-bargaining agreement.

Hired applicants may be eligible for annual short-term and/or long-term incentive compensation programs depending on the level of the position and whether or not it is covered by a collective-bargaining agreement. Payments under these annual programs are not guaranteed and are dependent upon a variety of factors including, but not limited to, individual performance, business unit performance, and/or the company's performance.

This role is a U.S.-based role. If the successful candidate resides in a U.S. territory, the appropriate pay structure and benefits will apply.

RTX anticipates the application window closing approximately 40 days from the date the notice was posted. However, factors such as candidate flow and business necessity may require RTX to shorten or extend the application window.