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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
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 AI readiness initiatives.
Highest-signal resume keywords
Product OwnershipData GovernanceAgile MethodologiesAI and Machine LearningCross-Functional Team Leadership
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Quality PrinciplesData Lifecycle ManagementData ProfilingData CleansingData TransformationUser Story DevelopmentAcceptance Criteria DefinitionBacklog ManagementProcess ModelingSystem Integration
Soft Skills
Effective CommunicationMentoringCollaborationProblem SolvingInfluencing
Tools & Technologies
Enterprise Data PlatformsData Cataloging ToolsData Lineage ToolingCloud-Based Analytics EcosystemsDigital Workflow Modernization
Certifications & Qualifications
Certified Scrum Product Owner (CSPO)SAFe Product Owner/Product Manager
Industry Keywords
AerospaceMilitary EnginesSustainment OperationsHigh-Reliability EngineeringDigital Transformation
Tech Stack
Tools & technologiesCloud
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 development and implementation of Data-as-a-Product frameworks, ownership models, data quality expectations, metadata standards, and lifecycle management
- Identify business processes and datasets critical to AI readiness, including profiling, gap assessment, cleansing, and transformation requirements
- Gather requirements, translate stakeholder needs into data requirements, and ensure solutions meet user and regulatory needs
- Translate business needs into prioritized user stories, acceptance criteria, and sprint objectives
- Champion data quality, lineage, governance, accessibility, and adoption of enterprise data platforms and standards
- Collaborate with AI and digital engineering teams on machine learning, predictive analytics, automation, and digital 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 and 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
- Analyze feedback and sprint outcomes to refine data readiness processes and backlog grooming
- Coach and mentor team members and foster a high-performing, collaborative data-driven culture
- Shape how sustainment data is structured, governed, and leveraged to enable AI-driven insights across Military Engine sustainment
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 of ability to influence at multiple levels and communicate effectively with senior leaders
- Must be a U.S. Citizen
- May require access to systems/tools restricted to individuals who possess US citizenship
- Preferred: experience in Aerospace, Military Engines, Sustainment Operations, or related high-reliability engineering environments
- Preferred: hands-on experience with enterprise data platforms, data cataloging, data lineage tooling, or cloud-based analytics ecosystems
- Preferred: background in process modeling, system integration, digital transformation, or AI/ML model enablement
- Preferred: Certified Scrum Product Owner (CSPO), SAFe Product Owner/Product Manager, or equivalent Agile certification
- Preferred: experience translating business strategy into data-centric product roadmaps and measurable execution plans
- Preferred: ability to create new processes, standards, and solutions using industry best practices
- Preferred: degree in data science or data analytics
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 collective-bargaining coverage)
