Staff Digital Enablement Advanced Technology Lead - 15718

RELOCATION ASSISTANCE: Relocation assistance may be available

CLEARANCE TYPE: Secret

TRAVEL: Yes, 10% of the Time

Description

At Northrop Grumman, our employees have incredible opportunities to work on revolutionary systems that impact people's lives around the world today, and for generations to come. Our pioneering and inventive spirit has enabled us to be at the forefront of many technological advancements in our nation's history - from the first flight across the Atlantic Ocean, to stealth bombers, to landing on the moon. We look for people who have bold new ideas, courage and a pioneering spirit to join forces to invent the future, and have fun along the way. Our culture thrives on intellectual curiosity, cognitive diversity and bringing your whole self to work — and we have an insatiable drive to do what others think is impossible. Our employees are not only part of history, they're making history.

Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible. With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.

Northrop Grumman Defense Systems is seeking Staff Digital Enablement Advanced Technology Lead - 15718. This position will be located in Roy, Utah and will support the Sentinel program.

The Digital Enablement Advanced Technology Lead will serve the Strategic Deterrent Systems (SDS) division by defining a long-term strategy for the adoption and integration of AI and other emergent software technologies across the division. They will lead a team of data scientists, software engineers, and systems engineers in implementing that strategy. They will coordinate internally and externally to the organization and the company to form strategic partnerships, align to organizational objectives, and keep pace with the rapidly-changing AI technology landscape.

Job Responsibilities:

• Develop infrastructure and tools to support adoption and integration of AI capabilities.

• Work with the Enterprise to ensure compliance and alignment to corporate AI initiatives, policies, etc.

• Work with division programs to align priorities to support and accelerate program deliverables.

• Work with potential industry partners to capitalize on emergent capabilities and connect them with division priorities.

• Develop technical roadmap aligned to business goals and milestones.

• Lead one or many teams in the implementation of that roadmap.

• Document architecture and design of AI Infrastructure.

• Provide technical leadership, direction and mentoring to other technical employees in the application of scientific principles, tools and techniques to achieve practical end results and solve complex problems.

• Work with peers and business partners to identify workflows or processes where automation can improve efficiency and or reduce costs.

• Provide Application support, configuration, installation, and troubleshooting.

• Troubleshoot technical issues, identify the cause, determine possible resolutions, and remediate issues in existing applications.

• Ensure that the security posture of AI Infrastructure meets or exceeds program requirements.

• Collaborate with Global Supply Chain to procure hardware and software as needed.

• Serve as Product Owner managing priorities, scope and schedule, as needed.

• Serve as Control Account Management (CAM) or Work Package Lead (WPL), as needed.

Basic Qualifications:

• Must have Bachelor’s Degree with •  12 Years with Bachelor’s in relevant field of study, 10 Years with Masters, 08 Years with PhD or 04 additional years in lieu of a degree.

•              US Citizen with ability to obtain and maintain DoD Secret clearance and Special Program Access.

•              Experience with Generative AI

•              Experience with Neurosymbolic AI, including: Ontology Engineering, Graph data structures, Natural Language Processing (NLP) and Machine Learning

•              Experience with Full-stack Software Engineering, including: front end, back end and                database development.

•              Experience with agile software development practices.

•              Knowledge of tools such as GitLab/GitHub, Nexus, Fortify/Coverity/SonarQube, and other systems used within software developm