Director, Artificial Intelligence & Digital Transformation - Space and Mission Systems

L3Harris Technologies•Palm Bay, FL

7d•$165,500 - $354,500

About The Position

The Director, Artificial Intelligence & Digital Transformation leads functional AI, data, and digital strategy for the Space & Mission Systems (SMS) Segment Program Management Excellence (PMX) organization, connecting AI strategy to program execution. The role leads full-stack development of integrated data, tool, and business process optimization efforts. It identifies, prioritizes, develops, and delivers capabilities to improve program execution, decision quality, schedule performance, and risk management, enabling program leaders to make faster, more data-driven decisions. The position establishes the Program Management AI and digital roadmap, use cases, and investments; governs implementation; and drives adoption across the program management community in alignment with enterprise AI governance. It leads segment implementation of enterprise digital and automation initiatives, including Program Digital Cockpit, Control Tower, and Business Intelligence, and manages data pipelines, digital tools, and repositories available to segment program and functional communities. The role also takes AI concepts from use case through business case, prototype, and deployment, and ensures capability advancement projects meet lead times and budget expectations. The role is based in Palm Bay, Florida; Rochester, New York; Camden, New Jersey; Waco, Texas; or Greenville, Texas. The schedule is 9/80, with employees working 9 out of every 14 days for 80 hours and every other Friday off. Travel to other sites is estimated at 10–15% as needed. The position requires the ability to obtain a U.S. security clearance upon starting.

Requirements

Bachelor’s degree and at least 15 years of related experience; or graduate degree and at least 13 years of related experience; or, in lieu of a degree, at least 19 years of related experience.
At least 5 years of experience as a functional manager.
At least 5 years of experience leading digital transformation and artificial intelligence implementation.
Prior or current experience in a program management role.
Professional experience collaborating across Program Management, Digital/Information Technology, Engineering, Data & Analytics, and AI transformation teams.
Professional experience with Large Language Models (LLMs), copilots, AI agents, and prompt engineering.
Professional experience redesigning processes, models, and workflows using digital technologies.
Professional experience working with AI and cybersecurity data governance.
Ability to obtain a U.S. security clearance upon starting.

Nice To Haves

Active U.S. security clearance.
Experience in the aerospace-defense industry.
Progressive leadership experience across program management, business, digital strategy, engineering, analytics, artificial intelligence, data architecture, and technology.
Ability to influence senior leadership regarding matters of strategic importance to the function or organization.
Program management experience with a deep understanding of planning, scheduling, risk management, and business acumen.
Strong accountability mindset, ensuring team performance is measured and accountability is followed through.

Responsibilities

Establish the Program Management AI and digital roadmap, use cases, and investments; govern implementation and drive adoption across the program management community in alignment with enterprise AI governance.
Identify where AI can create measurable value and act as a strategic thought leader.
Lead segment implementation strategy for digital and automation enterprise initiatives, including Program Digital Cockpit, Control Tower, and Business Intelligence; ensure objectives are measured, issues are resolved, and commitments are met.
Drive adoption of new technology and cultivate organizational trust and relationships.
Understand data architecture and resolve data integrity issues.
Take AI concepts from use case to business case to prototype to deployment.
Manage data pipelines, digital tools, and repositories available to segment program and functional communities.
Coordinate with stakeholders to seek input, align vision, and gain buy-in.
Ensure capability advancement projects are executed within lead time to need and budgeted accordingly.
Travel to other sites as needed to execute objectives, estimated at 10–15%.
Connect AI strategy to program execution and lead full-stack development of integrated data, tool, and business process optimization efforts.
Identify, prioritize, develop, and deliver capabilities that improve program execution, decision quality, schedule performance, and risk management.