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Manager Data Analytics

Job in San Diego, San Diego County, California, 92189, USA
Listing for: Northrop Grumman Corp.
Full Time position
Listed on 2026-10-11
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Data Engineering, Business Systems & Technology Analysis
Salary/Wage Range or Industry Benchmark: 146600 - 219800 USD Yearly USD 146600.00 219800.00 YEAR
Job Description & How to Apply Below
RELOCATION ASSISTANCE:
Relocation assistance may be available CLEARANCE REQUIRED FOR START:
Yes

CLEARANCE TYPE:
Top Secret TRAVEL:
No 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.

Northrop Grumman Aeronautics Systems is seeking a Manager 2 Data Analytics in Rancho Bernardo, California. This hands-on leader will oversee a team responsible for establishing a culture of data-driven decision making and creating business value through promoting the application of data analytics techniques across a broad range of business areas. They will regularly interact with key stakeholders to identify, develop, and deploy data analytics systems that are aligned to our strategic roadmap.

The successful candidate must be entrepreneurial and a self-starter with the ability to challenge the status quo.

Job Responsibilities may include, but are not limited to:

Implement the program-specific Data strategy that supports Enterprise Data Strategy Build, mentor, and lead a highly performing team of data engineers and scientists

Implement Data Science practices for prescriptive, predictive, diagnostic, descriptive, and cognitive analytics through automation, storage elasticity, and on-demand self service provisioning of all data types and life cycles

Proactively identify issues and inefficiencies within the business to develop and deploy solutions

Enable the adoption of data analysis methodologies across program operations for improved performance analysis

Establish and enforce data visualization and reporting standards to ensure consistency, accuracy and usability across the program

Support the monitoring and analysis of operational data to identify trends, issues and opportunities, and provide recommendations/solutions

Actively engage with program leaders and key stakeholders to identify and understand operational problems

Manage the data infrastructure, network, and system automation

Ensure common User Interface/User Experience (UI/UX) are designed and developed across the program

Our Leaders at Northrop Grumman live our values daily and encourage our teams to do the same. We do the right thing: upholding the highest ethical standards and facilitating a safe and respectful environment that attracts, retains, and inspires a diverse and engaged team. We do what we promise: holding yourself and others accountable to meet predictable and balanced results. We commit to shared success: operating as OneNG and removing barriers for our teams.

Finally, We pioneer: setting a vision that shapes the future and inspires others.

Basic Qualifications:

Bachelor of Science (BS) in a related Science, Technology, Engineering or Math (STEM) discipline and 9 years of related professional experience; OR Master of Science in a related STEM discipline and 7 years of related professional experience

Experience executing data strategies that consider big data solutions such as data lakes and/or data warehouses

Experience with data analytics tools (e.g., Python, SQL, Tableau, etc.) and techniques

Experience…
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