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.

At the heart of Defining Possible is our commitment to missions. In rapidly changing global security environments, Northrop Grumman brings informed insights and secure technological solutions to enable strategic objectives. We’re looking for innovators who can help us keep building on our wide portfolio of secure, affordable, integrated, and multi-domain systems and technologies that fuel those missions. By joining in our shared mission, we will support your mission of expanding your personal network and developing skills, whether you are new to the field or an industry thought leader. At Northrop Grumman, you will have the resources, support, and team to do some of the best work of your career.

Northrop Grumman's Corporate Chief Information & Digital Office (CIDO) is seeking a Senior **Staff Systems Data Architect **to support the Engineering & Manufacturing Solutions (EMS) organization's Service Line team. This role requires a self-motivated professional with proven experience collaborating in cross functional Integrated Product Teams (IPTs). The ideal candidate will be a technology visionary and strategist who can lead the end-to-end lifecycle of data centric initiatives spanning data science, architecture, storage, analytics, and dissemination. Candidates who reside near a major Northrop Grumman facility are preferred (examples: Redondo Beach, CA, Roy, UT, Baltimore, MD, Rolling Meadows, IL, Huntsville, AL, Melbourne, FL, Falls Church, VA).

Key Responsibilities:

Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across the EMS Service Line.
Oversee the data models, aligning data models across engineering and manufacturing to support user needs and align with other service Lines and CIDO.
Collaborate with engineering and business leaders to align data initiatives with program goals as well as enterprise data governance team.
Develop and enable program data risks management process in concurrence with program risk management.
Maintain knowledge of current and emerging Industry and government trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable.
Display strong stakeholder management skills, including presenting solutions to senior leadership.
Drive company-wide data strategy and innovation, aligning technical goals with business objectives.
Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.
Manage data governance, data security, data modeling, and enterprise architecture frameworks.
Provide experience in understanding, managing, and integrating business or government program data across a variety of tool sets and data sources.
Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms.
Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines.
Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure.
Support data integration strategy between pillar systems.

Basic Qualifications:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 14 years of experience; or Master's degree with 12 years of experience; or PhD with 10 years of experience
4+ years of experience in data infrastructure, DevOps, and data engineering, with 2+ years in a leadership or senior technical role.
3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms.
3 years of demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership.

Preferred Qualifications:

Master’s degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field.
An active U.S. Government Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years.
Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer.
MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows.
Advanced technical knowledge of data science and data architecture.
Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence.
Recognized experience as a thought leader and innovator in the development of new tools, methodologies and problem-solving approaches.
Demonstrated experience with integration platforms such as MuleSoft, SAP Process Integration (PI), or equivalent middleware solutions (e.g., eQube) for designing and orchestrating enterprise data flows.
Proven understanding of data models used by engineering and manufacturing systems, including but not limited to SAP PEO, ITOT, Solumina, TeamCenter, Cameo, and IBM DOORS.
Understanding data governance frameworks best practices (example: DAMA DMBOK).
Proven expertise in artificial intelligence, demonstrated by hands‑on experience designing, building, and deploying machine‑learning models and AI solutions in production environments.

We offer flexible work arrangements, phenomenal learning opportunities, exposure to a wide variety of projects and customers, and a very friendly team environment. At Northrop Grumman, we are on the cutting edge of innovation. Our diverse portfolio of programs means there are endless paths to cultivate your career. We also offer exceptional benefits/healthcare, a 9/80 work schedule, and a great 401k matching program. Come join us!

Primary Level Salary Range: $184,100.00 - $289,200.00

The above salary range represents a general guideline; however, Northrop Grumman considers a number of factors when determining base salary offers such as the scope and responsibilities of the position and the candidate's experience, education, skills and current market conditions.

Depending on the position, employees may be eligible for overtime, shift differential, and a discretionary bonus in addition to base pay. Annual bonuses are designed to reward individual contributions as well as allow employees to share in company results. Employees in Vice President or Director positions may be eligible for Long Term Incentives. In addition, Northrop Grumman provides a variety of benefits including health insurance coverage, life and disability insurance, savings plan, Company paid holidays and paid time off (PTO) for vacation and/or personal business.

The application period for the job is estimated to be 20 days from the job posting date. However, this timeline may be shortened or extended depending on business needs and the availability of qualified candidates.

Northrop Grumman is an Equal Opportunity Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. For our complete EEO and pay transparency statement, please visit http://www.northropgrumman.com/EEO. U.S. Citizenship is required for all positions with a government clearance and certain other restricted positions.

Description

Key Responsibilities:

Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across the EMS Service Line.

Oversee the data models, aligning data models across engineering and manufacturing to support user needs and align with other service Lines and CIDO.

Collaborate with engineering and business leaders to align data initiatives with program goals as well as enterprise data governance team.

Develop and enable program data risks management process in concurrence with program risk management.

Maintain knowledge of current and emerging Industry and government trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable.

Display strong stakeholder management skills, including presenting solutions to senior leadership.

Drive company-wide data strategy and innovation, aligning technical goals with business objectives.

Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.

Manage data governance, data security, data modeling, and enterprise architecture frameworks.

Provide experience in understanding, managing, and integrating business or government program data across a variety of tool sets and data sources.

Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms.

Continuous Integration/Continuous Deployment experience with CI/CD tools like Git tailored for data pipelines.

Cloud Expertise experience and/or knowledge in cloud platforms like AWS or Azure.

Support data integration strategy between pillar systems.

Basic Qualifications:

Bachelor's degree in Computer Science, Data Engineering, Information Systems, or a related field with 14 years of experience; or Master's degree with 12 years of experience; or PhD with 10 years of experience

4+ years of experience in data infrastructure, DevOps, and data engineering, with 2+ years in a leadership or senior technical role.

3 years of experience architecting and realizing scalable, secure, and cost-effective network platforms.

3 years of demonstrated experience in leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through strategic vision and strong leadership.

Preferred Qualifications:

Master’s degree or Ph.D. in data engineering, data science, computer science, cloud computing, or a related field.

An active U.S. Government Secret level security clearance (at a minimum), to include a closed investigation date completed within the last 6 years.

Relevant certifications such as AWS Certified Solutions Architect (Professional), AWS Certified Data Analytics Specialty, Azure Data Engineer Associate, or Google Professional Data Engineer.

MLOps Expertise, Observability Tools, Data Versioning, and Containerization for deploying data engineering workflows.

Advanced technical knowledge of data science and data architecture.

Proven understanding of statistics, structured and unstructured data analysis, predictive modeling techniques and data visualization as well as a good command of emerging methodologies like Artificial Intelligence.

Recognized experience as a thought leader and innovator in the development of new tools, methodologies and problem-solving approaches.

Demonstrated experience with integration platforms such as MuleSoft, SAP Process Integration (PI), or equivalent middleware solutions (e.g., eQube) for designing and orchestrating enterprise data flows.

Proven understanding of data models used by engineering and manufacturing systems, including but not limited to SAP PEO, ITOT, Solumina, TeamCenter, Cameo, and IBM DOORS.

Understanding data governance frameworks best practices (example: DAMA DMBOK).

Proven expertise in artificial intelligence, demonstrated by hands‑on experience designing, building, and deploying machine‑learning models and AI solutions in production environments.

Primary Level Salary Range: $184,100.00 - $289,200.00