Data Readiness Agile Product Owner

RTX

. Serve as Product Owner for an Agile team preparing operational and sustainment data for digital and AI use cases .

Posted 10/2/2026full-timeRemote • Connecticut • United StatesSeniorLead💰 $132,400 - $251,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in Product Ownership within Agile frameworks, focusing on Data-as-a-Product principles, data governance, and lifecycle management. Proven ability to lead cross-functional teams and communicate effectively with senior leadership while driving data quality and accessibility.

Highest-signal resume keywords

Product OwnershipData GovernanceAgile MethodologiesAI and Machine Learning KnowledgeCross-Functional Team Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality PrinciplesData Lifecycle ManagementBacklog ManagementUser Story DevelopmentData ProfilingData CleansingData TransformationAcceptance Criteria DefinitionSprint PlanningStakeholder Requirements Gathering

Soft Skills

Effective CommunicationTeam MentoringCollaborationProblem SolvingInfluencing Skills

Tools & Technologies

Enterprise Data PlatformsPredictive Analytics ToolsMachine Learning FrameworksAgile Project Management Tools

Industry Keywords

Digital TechnologyData ManagementOperational DataSustainment OperationsData Accessibility

About the role

Key responsibilities & impact

Serve as Product Owner for an Agile team preparing operational and sustainment data for digital and AI use cases
Define product vision, roadmap, and value delivery; manage and prioritize the backlog
Lead Data-as-a-Product frameworks covering ownership models, data quality, metadata standards, and lifecycle management
Identify business processes and data sets critical to AI readiness, including profiling, gap assessment, cleansing, and transformation
Gather requirements and translate stakeholder needs into data requirements
Translate business needs into prioritized user stories, acceptance criteria, and sprint objectives
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 supporting machine learning, predictive analytics, automation, and workflow modernization
Coordinate with data architects, engineers, scientists, analysts, and product owners to ensure data is fit for purpose
Solve ambiguous, multidisciplinary data challenges with innovative, scalable solutions
Communicate program status, risks, and strategic impacts to senior leadership and external stakeholders
Participate in Sprint Planning, Stand-ups, Sprint Reviews, and Retrospectives
Refine data readiness processes, backlog grooming, and adaptation to changing business or data landscapes
Coach and mentor team members and foster a collaborative, data-driven culture

Requirements

What you’ll need

Bachelor’s degree with 10 years of engineering, digital technology, analytics, or data management experience, or an Advanced Degree with 7 years of such 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
Must be able to access systems/tools restricted to U.S. citizens

Benefits

Comp & perks

Medical insurance
Dental insurance
Vision insurance
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
Holidays
Annual short-term and/or long-term incentive compensation programs (eligibility dependent on position and bargaining agreement)