Sr. Director AI Enablement
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Job Location:
Livonia, MI - USA
Monthly Salary:
Not Disclosed
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description Summary
The Senior Director AI Enablement will build and lead a new Defense & Systems Digital Technologyfunction focused on accelerating value realization from AI. This leader will partner closely with business stakeholders and customers to translate prioritized opportunities into actionable plans and orchestrate end-to-end deliveryfrom problem framing and data enablement through development deployment and value tracking. The role requires a seasoned leader who can stand up a high-performing team scale operating mechanisms create standards and coordinate execution across teams including Business P&Ls Data Science AI Factory and Infrastructure teams.Job Description
Key Responsibilities:
Strategy and Vision
- Define and socialize a clear strategy to accelerate value from AI/analytics across priority business domains and customer programs
- Establish an intake framework to prioritize use cases based on impact and make the demand easily visible
- Create KPIs that measure value realization adoption scalability and operational reliability
Team Building and Leadership
- Build a new team from the ground up including hiring onboarding coaching and workforce planning
- Stand up core capabilities: Program Management Data Architecture/Engineering Application / Cloud Engineering Ops etc.
- Foster a culture of safety quality continuous improvement and customer focus
Business and Customer Partnership
- Serve as a trusted partner to business leaders and customers to understand outcomes constraints and readiness
- Develop problem statements success criteria and value hypotheses; align on ROI timelines and governance
- Communicate progress through executive-ready artifacts and regular operating rhythms
End-to-End Delivery and Orchestration
- Lead cross-functional execution spanning AI Enablement Business Teams Data Science AI Factory and Infrastructure
- Ensure robust designs and model for lifecycle management scalable deployment patterns and proper handoffs to run-state are created and implemented
Governance Risk and Compliance
- Implement data governance privacy security and responsible AI practices aligned to company strategy and in compliance with applicable regulations.
- Establish Model Risk Management processes including documentation testing monitoring and periodic reviews
- Define and enforce standards for data quality lineage observability and resilience
Operating Mechanisms and Continuous Improvement
- Implement standard work for discovery experimentation pilot scale and run-state phases
- Create feedback loops with business units to improve speed quality and adoption
- Drive post-implementation reviews to verify value realization
- Inform AI educational and skill development strategy across Defense and Systems Digital Technology
Minimum Qualifications:
- Bachelors degree from accredited university or college with minimum of 10 years of professional experience OR Associates degree with minimum of 13 years of professional experience OR High School Diploma with minimum of 15 years of professional experience
- Minimum 7 years of experience in Data/Analytics/AI with 6 years leading multi-disciplinary teams and complex portfolios
- 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.
Preferred Experience
- Demonstrated success building new teams/functions and scaling operating mechanisms
- Proven track record delivering measurable business outcomes with AI/ML analytics platforms and data products
- Strong grasp of data concepts; ETL/ELT lake/lakehouse Data Fabric analytics Ontologies and AI/MLOps/ModelOps/AI
- Experience coordinating across teams Data Science infrastructure cybersecurity and enterprise architecture
- Executive presence with excellent communication stakeholder management and change leadership skills
- Familiarity with responsible AI data governance and model risk management
- Standing up and or management of a professional service function
- Leading AI/ML delivery in regulated or safety-critical environments
- Building product-oriented delivery (backlogs roadmaps OKRs) and value tracking frameworks
- Working with modern data/AI stacks (e.g. cloud data platforms feature stores orchestration model registries)
- Vendor and partner management at enterprise scale
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)).
Additional Information
GE Aerospace offers a great work environment professional development challenging careers and competitive compensation. GE Aerospace is anEqual Opportunity 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. Any offer of employment is conditioned upon the successful completion of a drug screen (as applicable).
Relocation Assistance Provided: No
Required Experience:
Exec
Key Skills
- Fundraising
- Management Experience
- Coaching
- Analysis Skills
- Strategic Planning
- Team Management
- Budgeting
- Leadership Experience
- Mentoring
- Public Speaking
- negotiation
- Supervising Experience
About Company
GE Aerospace is mobilizing a new era of growth in aerospace, aviation, and defense engineering. Explore GE Aerospace's commercial and general propulsion powers.
