Data Analytics Manager 2

Northrop Grumman•Melbourne, FL

8d•$126,600 - $189,800•Hybrid

About The Position

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 Aerospace Systems (NGAS) is seeking a Data Analytics Manager to lead the Program Management (PM) Data Strategy & Analytics activities. The team is responsible for establishing a culture of data driven decision making and creating business value through promoting the application of data analytics and Artificial Intelligence (AI) tools and 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. This role is hybrid and requires regular onsite presence in Melbourne, FL. Candidates must be within a commutable distance of the Melbourne site.

Requirements

Bachelor’s degree in STEM related discipline and 9 years minimum of related experience OR Master's degree with STEM 7 years of related Data Analytics
2 years as a technical leader of product development teams that have successfully delivered customer-driven products
Strong proficiency in SQL and Python.
Strong proficiency developing and deploying Tableau dashboards and the ability to translate business needs into visual insights.
Excellent ability to communicate complex analytical subject matter across varied audiences
Strong understanding of business and engineering processes, tools, and techniques
Experience with large scale distributed software and agile software development methodologies
Proven ability to lead and inspire cross-functional teams
Experience with UX design and development
Must possess an active US Government Secret clearance with the ability to obtain Special Access Program (SAP) clearances

Nice To Haves

Master’s Degree in Engineering, Mathematics, Statistics, or Computer Science
Software development experience
Demonstrated experience developing product visions and fostering effective engineering teams
Experience collecting, analyzing, and synthesizing insights from multiple data sources
Understanding of Northrop Grumman policy, process, and products
Ability to make decisions with minimal support
Experience in a program management role
Current Special Access Program (SAP) clearances.

Responsibilities

Develop and implement the NGAS PM Data Strategy, in support the Enterprise Data Strategy
Lead the execution of NGAS PM data analytics and AI activities
Proactively identify issues and inefficiencies within the business to develop and deploy solutions
Drive the adoption of data analysis methodologies across sector and program operations for improved performance analysis
Lead the monitoring and analysis of operational data to identify trends, issues and opportunities, and provide recommendations/solutions
Actively engage with sector leaders and key stakeholders to identify and understand operational issues and develop solutions
Design and manage the NGAS PM data infrastructure and automation
Design, develop, and maintain scalable data pipelines and ETL processes across multiple data sources
Build and optimize data models (star, snowflake, data vault) for analytics and reporting
Implement robust data quality, validation, and monitoring frameworks to ensure reliability of downstream insights