[Hiring] Data Readiness Agile Product Owner @RTX

Role Description

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, re-useable and ready for enterprise AI integration.

• 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 the roles 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 refine data readiness processes, improve backlog grooming, and adapt to changing business or data landscapes.
• Coach and mentor team members, fostering a high‑performing and collaborative data‑driven culture.

Qualifications

• Bachelor’s degree with 10 years of engineering, digital technology, analytics, data management experience, or an Advanced Degree with 7 years of engineering, digital technology, analytics, data management experience.
• 2 years of demonstrated experience as a Product Owner, Agile Lead, Scrum Master, or equivalent leadership role.
• 2 years of strong knowledge of Data as a Product, data governance, data lifecycle management, and data quality principles.
• 2 years of working knowledge of AI, machine learning concepts, and digital technologies.
• 2 years of proven ability to lead cross‑functional teams, manage complex projects, and deliver results in evolving and ambiguous environments.
• 2 years ability to influence at multiple levels and communicate effectively with senior leaders.
• Must be a U.S. Citizen.

Requirements

• 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 the expectations for innovation and strategic impact.
• Degree in a data science or data analytics.

Benefits

• 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.