AI/ML Manager – Intelligence Platform

Basic Qualifications

Bachelor's degree in Engineering, Computer Science, Information Systems, Data Science, Business, or a related discipline.

Experience leading large-scale technology, data, analytics, AI/ML, application development, or digital transformation initiatives from strategy through execution.

Experience leading cross-functional teams delivering complex business and technology solutions.

Experience partnering with business stakeholders to identify opportunities, define solutions, and drive adoption.

Experience managing budgets, staffing plans, resource allocation, and delivery execution.

Experience developing scalable capabilities through standards, reference architectures, reusable implementation patterns, or delivery frameworks.

Job Description

The Aeronautics Data Team within the Data & AI Enablement organization is responsible for accelerating business outcomes through data, analytics, artificial intelligence, automation, and digital transformation capabilities. The team partners closely with business and technology organizations to deliver scalable solutions that improve operational performance, enable data-driven decision making, and drive innovation across Aeronautics.

Position Overview

The EBDT Aeronautics Data Team within the Data & AI Enablement organization is seeking a Manager, Operational Intelligence Platform (OIP) Delivery to lead the strategy, governance, and delivery oversight of Operational Intelligence Platform capabilities supporting the Aeronautics business area.

Key Responsibilities

• Lead the intake, prioritization, roadmap development, and governance of Operational Intelligence Platform (OIP) initiatives.
• Partner with business and technology leaders to identify opportunities and deliver measurable business outcomes.
• Oversee execution across OIP initiatives by providing strategic direction, delivery oversight, and resource alignment.
• Develop reusable data products, ontology capabilities, standards, reference architectures, and delivery playbooks that enable enterprise scale and reuse.
• Manage budgets, staffing strategies, and ontology development resources while coaching teams and advancing OIP capability maturity.

Desired Skills

• Experience with ontology-driven solutions, semantic technologies, knowledge graphs, or connected data architectures.
• Experience developing reusable data products, enterprise data platforms, or shared digital capabilities.
• Experience delivering AI/ML, Generative AI, Agentic AI, or intelligent automation solutions.
• Experience with portfolio management, roadmap development, and intake governance processes.
• Experience establishing governance models, technical standards, and scalable.

Other Important Information

By applying to this job, you are expressing interest in this position and could be considered for other career opportunities where similar skills and requirements have been identified as a match. Should this match be identified you may be contacted for this and future openings.

Ability to work remotely

Part-time Remote Telework: The employee selected for this position will work part of their work schedule remotely and part of their work schedule at a designated Lockheed Martin facility. The specific weekly schedule will be discussed during the hiring process.