Sr. Principal Insights Developer - AI & Analytics

RELOCATION ASSISTANCE: No relocation assistance available

CLEARANCE REQUIRED FOR START: No

CLEARANCE TYPE: None

TRAVEL: Yes, 10% of the TimeDescription

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.

We are seeking a senior level Insights Developer to join Northrop Grumman's Insights & Intelligence (i2) organization. This position supports the Chief Information & Digital Office (CIDO) function and reports to the Manager, CIDO AI & Analytics.

Within CIDO, our AI & Analytics team partners with senior technology leaders across infrastructure, cybersecurity, enterprise applications, digital engineering, and service management to transform complex operational data into scalable analytic products and AI-enabled decision support tools.

As an Insight Developer, you will design and deliver rigorous analyses, curated data products, and AI-enabled solutions that help CIDO optimize investments, improve operational performance, and accelerate digital transformation in support of our enterprise technology strategy.

What Success Looks Like in This Role

• Your curiosity fuels innovation: You consistently pose insightful questions about strategy, process, and technology, uncovering opportunities that drive breakthrough solutions.
• You have high agency: You proactively gather information, identify blockers, operate effectively in ambiguity, and make thoughtful decisions with incomplete information.
• You demonstrate rigor: Your analyses are structured, reproducible, and statistically sound, earning senior-leadership trust and upholding the highest standards of quality.
• You champion transformation: Whether delivering high-impact analytics or enabling AI capabilities, you inspire stakeholders to embrace smarter, data-driven ways of working.
• You are a bridge-builder: You can talk to data scientists about model deployment, engineers about infrastructure, and business stakeholders about problem scopes. You translate and collaborate across domains.

What You'll Do

• Partner with CIDO leaders to translate ambiguous operational and strategic questions into structured analytic approaches and solutions.
• Extract, transform, and analyze data from complex enterprise systems (e.g., ITSM platforms, CMDB, infrastructure monitoring tools, DevOps pipelines, cybersecurity systems, financial systems).
• Conduct quantitative analyses using statistical and computational methods to identify trends, risks, and optimization opportunities.
• Present findings through clear data storytelling tailored to executive and technical audiences.
• Develop and maintain analytic products, dashboards, and automated pipelines that reduce manual reporting and accelerate time-to-insight.
• Define, develop, and govern business metrics and KPIs aligned to enterprise technology goals.
• Collaborate with data engineering and platform teams to deploy analytics solutions and support model deployment.
• Stay current on industry trends, emerging AI capabilities, and best practices in enterprise analytics.

Work Arrangement

This is a hybrid/remote position. Most of our team is based in the Northern Virginia area, and we welcome candidates who can occasionally collaborate in person, but we operate primarily remotely and value flexibility.

This position's standard work schedule is a 9/80. The 9/80 schedule allows employees who work a nine-hour day Monday through Thursday to take every other Friday off.

Benefits

As a full-time employee of Northrop Grumman, you are eligible for our robust benefits package including:

• Medical, Dental & Vision coverage
• 401k with Corporate Matching
• Educational Assistance
• Life Insurance
• Employee Assistance Programs & Work/Life Solutions
• Paid Time Off
• Health & Wellness Resources
• Employee Discounts

Basic Qualifications:

• Must have at minimum - a Bachelor's degree with 8 years of related professional experience, OR Master's degree with 6 years of related professional experience, OR PhD with 4 years of related professional experience.
• Must have a strong proficiency in SQL for extracting, manipulating, and querying large, complex datasets.
• Must have a strong proficiency in Python (preferred) or R for data analysis, visualization, and automation.
• Must have experience applying quantitative and statistical methods to solve operational or business problems.
• Must have experience developing interactive data visualizations using business intelligence tools (e.g., Power BI, Tableau).
• Must have demonstrated experience translating ambiguous problems into structured analytic solutions.
• Must have experience developing performance metrics and using them to inform strategic or operational decisions.
• Must have strong data storytelling and executive communication skills.
• Must have experience collaborating across technical and business teams.
• Must have the ability to obtain and maintain a DoD security clearance.

Preferred Qualifications:

• Degree in a quantitative field (e.g., engineering, mathematics, statistics, economics, computer science).
• Experience working with IT operational data (e.g., ServiceNow, CMDB, infrastructure telemetry, DevOps pipelines, cybersecurity metrics, IT financial forecasting).
• Experience using Git for version control and collaborative development.
• Experience developing, transforming, and analyzing large-scale datasets in cloud-based analytics environments (e.g., Databricks, Snowflake).
• Experience designing data models that support enterprise data architecture and governance.
• Experience applying machine learning, predictive modeling, and AI techniques to improve forecasting, anomaly detection, performance monitoring, and automation.
• Background in consulting or client-facing technical roles translating business challenges into scalable technical solutions.

Primary Level Salary Range: $117,500.00 - $176,300.00

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.