Senior Director, A.I, Data Operations

GE Aerospace

. Serve as Sr Director, AI & Data Operations to the CDAIO/DSA leadership team and drive strategic AI deployment across the enterprise .

Posted 10/9/2026full-timeAtlanta • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI Strategy, Operations, and Finance, with a strong focus on stakeholder management and communication. Proven ability to lead strategic initiatives, manage budgets, and coordinate complex projects within a regulated industrial environment.

Highest-signal resume keywords

AI Strategy DevelopmentBudget ManagementStakeholder ManagementDigital Technology OperationsProgram Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/Data GovernancePortfolio ManagementFinancial ForecastingRequisition/Procurement ProcessesScenario Planning

Soft Skills

Exceptional Written CommunicationVerbal CommunicationInfluencing Without Authority

Tools & Technologies

Flight Deck PrinciplesAI Control Tower

Industry Keywords

AerospaceManufacturingRegulated EnvironmentComplex Industrial Environment

Tech Stack

Tools & technologies

SaltStack

About the role

Key responsibilities & impact

Serve as Sr Director, AI & Data Operations to the CDAIO/DSA leadership team and drive strategic AI deployment across the enterprise
Own the connection between AI strategy, AI operations, and AI finance
Lead executive operating rhythms, leadership calls, internal staff calls, and updates
Define CDAIO success metrics, implement tracking aligned to Flight Deck Principles, assess stakeholder alignment, and recommend priority adjustments
Maintain the stakeholder Voice of Customer rhythm and serve as the AI Communications interface
Own scenario planning, quarterly AI strategy rhythms, report-outs, signposts, and related follow-ups
Coordinate strategy artifacts including memos and slide decks and own artifacts presented to SALT
Own governance, prioritization, and scaling processes for AI solution implementation across GE Aerospace
Own the AI Control Tower product roadmap, including feature prioritization and alignment with platform leads and strategic goals
Run the weekly operating rhythm with Control Tower and AI Health Check program managers, setting priorities and troubleshooting roadblocks
Own budget prioritization and forecasting across the CDAIO organization, including accruals and project follow-up
Manage talent operations, statements of work, requisitions, approvals, renewals, and sourcing/finance rhythms
Own the hiring plan and hold leadership accountable for business cases and hiring deadlines

Requirements

What you’ll need

Bachelor’s degree from an accredited university or college with minimum of 10 years of professional experience OR associate 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 professional experience in Digital Technology Enterprise Business Operations
5+ years of experience in strategy, operations, program management, or chief-of-staff capacities, ideally supporting a senior executive or leadership team
Military experience is equivalent to professional experience
Legal authorization to work in the U.S.; employment visa sponsorship is not available now or in the future
Ability to prove U.S. Person status for access to U.S. export-controlled information: U.S. lawful permanent resident, U.S. Citizen, asylee, or refugee
Working knowledge of AI/data governance, portfolio management, or technology strategy in a large, matrixed organization
Experience with budget management, requisition/procurement processes, and financial forecasting
Exceptional written and verbal communication skills, including executive-level materials preparation
Strong stakeholder management skills and ability to influence without direct authority
Prior experience in aerospace, manufacturing, or another regulated/complex industrial environment
Familiarity with Flight Deck Principles or comparable operating models
Experience supporting AI/ML program governance or an AI Center of Excellence

Benefits

Comp & perks

Professional development
Challenging careers
Competitive compensation
Relocation assistance not provided
Equal Opportunity Employer
Drug screen and possible random/reasonable-suspicion drug and alcohol testing as a condition of employment