Date Posted:
2026-06-02
Country:
United States of America
Location:
US-CT-REMOTE
Position Role Type:
Remote
U.S. Citizen, U.S. Person, or Immigration Status Requirements:
This job requires a U.S. Person. A U.S. Person is a lawful permanent resident as defined in 8 U.S.C. 1101(a)(20) or who is a protected individual as defined by 8 U.S.C. 1324b(a)(3). U.S. citizens, U.S. nationals, U.S. permanent residents, or individuals granted refugee or asylee status in the U.S. are considered U.S. persons. For a complete definition of U.S. Person go here: https://www.ecfr.gov/current/title-22/chapter-I/subchapter-M/part-120/subpart-C/section-120.62
Security Clearance Type:
None/Not Required
Security Clearance Status:
Not Required
Role Summary
RTX is seeking an actionoriented senior leader to drive the ModelBased Enterprise (MBE) transformation across the company as part of the ModelBased Digital Thread (MBDT) Process Capability Center.
The Digital Engineering Transformation Lead will report directly to the Executive Director, MBDT PCC and will serve as a principal change agent and strategic consultant to the digital transformation program offices of the four Business Units. This role will define and mature an endtoend Digital Lifecycle corporate strategy spanning product design & development, production, and sustainment, in alignment with customer requirements and RTX enterprise objectives.
This is a strategic technical leadership role requiring deep expertise in modelbased engineering and digital technologies, combined with strong executive presence, influence, and changemanagement capabilities. The leader in this role will shape strategy, drive crossBU alignment, and deliver measurable business impact from MBE and AIenabled engineering capabilities.
Strategic Leadership & Vision
Lead the development, communication, and continuous refinement of the RTX Model Based Enterprise transformation strategy in partnership with Business Units and corporate functions (Digital, Operations, Engineering).
Drive the Digital Lifecycle technology roadmap in collaboration with BU leaders, ensuring alignment with enterprise strategy, customer needs, and key business KPIs.
Collaborate with BU and corporate stakeholders to define strategy and roadmap on how agentic AI capabilities augment and automate engineering workflows (e.g., requirements, design, analysis, verification, sustainment).
Act as a primary advisor and thought partner to BU transformation leaders, helping shape their roadmaps and ensuring coherence and interoperability across RTX.
Thought partners include:
Internal partners - T&GE leaders, RTRC, BBN, BUs
External partners - university partners, vendors, and government agencies
Key Responsibilities
Lead the development, communication, and continuous refinement of the RTX Model Based Enterprise transformation strategy in partnership with Business Units and corporate functions (Digital, Operations, Engineering).
Drive the Digital Lifecycle technology roadmap in collaboration with BU leaders, ensuring alignment with enterprise strategy, customer needs, and key business KPIs.
Enterprise Change Management & Alignment
Lead cross functional, cross BU initiatives to harmonize MBE processes, methods, and tools, ensuring a consistent enterprise approach while respecting BU-specific needs.
Champion change management practices: define change strategies, stakeholder engagement plans, communications, and adoption metrics for MBE deployment across engineering organizations.
Influence senior stakeholders and decision makers to prioritize and fund MBE initiatives, using data driven business cases and clear value propositions.
Drive alignment across RTX on common standards, architectures, and best practices for Model Based Engineering and Digital Thread, working closely with Enterprise Services, Engineering Councils, and Operations.
Drive, harmonize, and prioritize MBE requirements into digital architectures and solutions as part of the MBE workflow transformation, in collaboration with Enterprise Services / PST and other digital teams.
Lead identification and development of common MBE capabilities and associated investment plans with Enterprise Services and Engineering Councils.
Collaborate with the AI Center of Excellence (COE) to prioritize opportunities, define guardrails, and integrate AI capabilities into the engineering design pipeline in a safe, scalable, and value focused manner.
Represent RTX in national working groups, industry consortia, and standards bodies on Model Based Engineering, Digital Engineering, and related domains.
Act as a visible thought leader internally and externally, communicating RTX27s MBE vision, strategy, and progress to executives, customers, partners, and industry forums.
Contribution
The role shapes and drives RTXwide MBE and AIenabled workflow strategies that affect engineering effectiveness, cost, schedule, quality, and risk across multiple Business Units.
Impact is realized over multiyear horizons through changes to core engineering processes, digital architecture, and ways of working, not just on a single program or site.
Recommendations from this role materially influence enterprise technology roadmaps, prioritization of crossBU investments, and adoption of common capabilities.
The position has decision-making authority in:
The role has substantial authority to propose, design, and recommend enterprise standards, roadmaps, and investments, but typically does not own BU budgets or direct line organizations.
Participates in or cochairs crossfunctional councils/working groups, where it can:
Set or recommend standards and reference architectures
Gate or endorse enterprise initiatives
Escalate issues and tradeoffs to executive sponsors
Decisionshaping, not decisionowning, for BUs.
Final operational decisions (e.g., BUspecific tools, staffing, budgets) remain with BU leadership, but this role strongly shapes those decisions through data, strategy, and executive alignment.
The role influences through:
Influence: Uses expertise, business cases, and relationships to align executives and functional leaders around common MBE/AI workflow strategies, standards, and priorities.
Negotiate: Balances BUspecific needs with enterprise harmonization, negotiating tradeoffs in scope, timing, and investment to reach workable, shared solutions.
Coordinate: Orchestrates crossBU initiatives, working groups, and pilots to ensure consistent execution and knowledge sharing, but relies on BU teams for implementation.
Qualifications You Must Have
University degree in Engineering, Computer Science, or related technical field (or equivalent experience) and a minimum of 14 years of relevant experience; or an advanced degree and a minimum of 12 years of experience.
Breadth and depth of knowledge of engineering processes and model based methods for the development, production, and sustainment of complex cyber physical systems in the Aerospace & Defense domain.
Broad experience leading multi discipline, multi function change management initiatives in large, complex organizations.
Broad understanding of model based technologies, data factories, and engineering/manufacturing data systems.
Demonstrated leadership of complex, cross disciplinary technical teams, including influencing without direct authority and leading through others.
Exceptional communication skills94written, verbal, and visual94with the ability to tailor messaging from engineering teams to C suite executives and external stakeholders.
Strong executive presence and credibility, with demonstrated thought leadership in diverse settings (e.g., executive reviews, industry panels, customer briefings).
Proven ability to build trust, align conflicting priorities, and drive decisions across multiple stakeholders and organizational boundaries.
Demonstrated resilience and bias for action, combining risk tolerance, urgency, optimism, empathy, and long term vision in driving transformational change.
Recognized expertise in Digital Engineering, with demonstrated experience deploying model based approaches on representative aerospace and defense programs.
Must be willing and able to travel up to 10% of the time.
Qualifications We Prefer
General knowledge of modeling and analysis of complex systems with different levels of fidelity
Strong business acumen and analytical skills, with the ability to translate technical strategies into business cases, financial impacts, and clear executive narratives.
General knowledge in advanced software, data modeling and architecture, model based technology development, data transformation, data linking, and search technologies.
General understanding of broader digital industry trends, Agentic AI, Engineering Tools, Cloud/SaaS, Analytics, Social, Security/Risk Management, and Internet of Things (IoT).
Knowledge of engineering and manufacturing data sources, integrations, and interactions across the product lifecycle.
Knowledge of manufacturing technologies and Industry 4.0 concepts.
Experience managing cost and schedule performance in a deadlinedriven, programmatic environment.
5+ years of experience with aerospace and defense products.
Prior experience in an enterpriselevel transformation, digital engineering, or CTO/strategyadjacent role.
Please ensure the role type defined below is appropriate for your needs before applying to this role. This position is classified as:
Remote: Employees who are working in Remote roles will work primarily offsite (from home). If you live within a reasonable commute of an RTX site with other colleagues you interact with, your manager will discuss whether there is a degree of onsite presence associated with this role.
Candidates will learn more about role type and current site status throughout the recruiting process.
As part of our commitment to maintaining a secure hiring process, candidates may be asked to attendselect 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 186,200 USD - 353,800 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 candidate27s 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 company27s 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.
