AI Catalyst Corporate DT at GE Aerospace

Boston, Massachusetts, United States -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

293300.0

Posted On

20 Dec, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Management, Cloud Computing, Business Acumen, Operational Excellence, Programming Tech, Program Management, AI Advocacy, Cross-Functional Collaboration, Cybersecurity, Risk Management, AI Solutions, Data Science, Change Leadership, Innovative Problem-Solving, Strategic Business Acumen, Data Interpretation

Industry

Aviation and Aerospace Component Manufacturing

Description

Job Description Summary Corporate DT AI Catalyst will partner closely with the business to define and drive its most critical AI use cases. This executive will develop strong relationships with cross-functional stakeholders to best understand each departments’ needs and develop the ideal AI roadmap for Corporate Functions Leaders including Trailing Operations. The AI Catalyst will serve as an AI thought leader and change agent across the business, helping ensure leaders and teams understand the added value the AI initiatives, tools, and best practices will ultimately bring to each function and product. Additionally, the AI Catalyst will lead seamless implementation & change management of all AI-powered solutions across Corporate DT, ensuring strong adoption impact and promoting a culture of continuous improvement & innovation firmwide. Job Description Key Responsibilities: Defines and prioritizes AI use cases based on business needs. Collaborates with various departments to understand their challenges and opportunities and develop a roadmap for AI initiatives that deliver measurable business value. Helps business leaders and teams understand how to use AI. Provides training and resources to ensure a comprehensive understanding of AI concepts, tools, and best practices, enabling informed decision-making and effective implementation. Facilitates adoption of AI-enabled solutions within the company. Work closely with stakeholders to ensure seamless adoption, address any resistance or concerns, and promote a culture of innovation. Monitors the performance and impact of AI initiatives, adjusting as needed to optimize outcomes and drive continuous improvement. Key Leader in Data Organization & Protection: Oversee data architecture, engineering, platforms, and governance, ensuring a robust, scalable, and secure data ecosystem. Cross-Functional Leadership: Collaborate with engineering, digital, product, and business leaders to embed AI and data-driven decision-making across the organization. Regulatory & Ethical AI Governance: Ensure AI solutions meet industry, regulatory, and ethical standards, particularly in aerospace and defense applications. Required Qualifications / Experiences Bachelor’s degree in computer science, STEM Majors (Science, Technology, Engineering, and Math), or equivalent experience. Minimum of 7 years of professional experience in IT leadership roles, with at least 5 years of experience leading global teams. Proven expertise in designing and deploying enterprise-level data management / AI solutions. Demonstrated ability to lead and influence cross-functional teams in a matrixed environment. Note: Military experience is equivalent to professional experience Eligibility Requirement: Legal authorization to work in the U.S. is required. We will not sponsor individuals for employment visas, now or in the future, for this job. The base pay range for this position is $176,000- $293,300. The specific pay offered may be influenced by a variety of factors, including the candidate’s experience, education, and skill set. This position is also eligible for an annual discretionary bonus based on a percentage of your base salary/ commission based on the plan. This posting is expected to close on December 31, 2025. Healthcare benefits include medical, dental, vision, and prescription drug coverage; access to a Health Coach, a 24/7 nurse-based resource; and access to the Employee Assistance Program, providing 24/7 confidential assessment, counseling and referral services. Retirement benefits include the GE Retirement Savings Plan, a tax-advantaged 401(k) savings opportunity with company matching contributions and company retirement contributions, as well as access to Fidelity resources and planning consultants. Other benefits include tuition assistance, adoption assistance, paid parental leave, disability insurance, life insurance, and paid time-off for vacation or illness. General Electric Company, Ropcor, Inc., their successors, and in some cases their affiliates, each sponsor certain employee benefit plans or programs (i.e., is a “Sponsor”). Each Sponsor reserves the right to terminate, amend, suspend, replace, or modify its benefit plans and programs at any time and for any reason, in its sole discretion. No individual has a vested right to any benefit under a Sponsor’s welfare benefit plan or program. This document does not create a contract of employment with any individual. Qualifications: Data Management, Interpretation and Processing: Adept at organizing, analyzing, and transforming data to extract meaningful insights and support informed decision-making. Cloud Computing: Experience with cloud platforms like AWS, Google Cloud, and Azure for deploying and scaling AI solutions. Business Acumen: Understands business operations, market dynamics, and financial principles to make strategic decisions. Operational Excellence: Executes business processes efficiently and effectively to achieve optimal business performance. Experienced in Programming Tech & Tools: Expertise in languages such as Python, R, and SQL. Strong Program Management & Organizational Skills: Spearhead all dimensions and layers within the organization to deliver on time, on budget solutions and deliverables. Team player who prioritizes customer solutions and business objectives and unyieldingly leverages lean practices (FLIGHT DECK, GE’s proprietary lean operating model) Multi-faceted data science expert—capable of operating at a strategic level while also being hands-on ("Go to Genba") to collaboratively solve problems. Embodies GE Aerospace’s ‘One Culture’ characteristics: Passionate Innovator – Drives AI and data-driven innovation to create new business opportunities. Developer of World-Class Talent – Builds and nurtures high-performing AI and data teams. Accountable Owner – Takes full ownership of initiatives with a focus on execution and results. Key Competencies: Strategic Business Acumen Change Leadership & AI Advocacy Innovative Problem-Solving Cross-Functional Influence and Collaboration Operational Excellence – leading programs and initiatives to deliver measurable results AI/ML/Data Science Proficiency Data Management, Interpretation and Processing Cybersecurity and Risk Management Cloud Computing platforms, managing AI solutions efficiency & effectively Programming Language Proficiency Additional Information Compensation Grade SPB1 This role requires access to U.S. export-controlled information. Therefore, employment will be contingent upon the ability to prove that you meet the status of a U.S. Person as one of the following: U.S. lawful permanent resident, U.S. Citizen, have been granted asylee or refugee status (i.e., a protected individual under the Immigration and Naturalization Act, 8 U.S.C. 1324b(a)(3)). GE Aerospace offers a great work environment, professional development, challenging careers, and competitive compensation. GE Aerospace is an Equal Opportunities Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law. GE Aerospace will only employ those who are legally authorized to work in the United States for this opening. Relocation Assistance Provided: No

Responsibilities

The AI Catalyst will define and prioritize AI use cases based on business needs and collaborate with various departments to develop a roadmap for AI initiatives. They will also facilitate the adoption of AI solutions and monitor the performance of AI initiatives to drive continuous improvement.