Manager Data Analytics 2

Northrop Grumman's Aeronautics Systems is seeking a Manager 2 of Data Analytics.  The Manager 2 will be reporting to a Manager 3 within the Process Compliance organization within Mission Assurance. This individual will be leading exciting, cutting-edge initiatives as Mission Assurance continues to build standard performance measures and develop timely insights to guide teams to deliver high quality products.  This role will sit in our El Segundo, CA location but we may also consider a hybrid work arrangement for this position.   

As a manager of the Mission Assurance Analytics team, you will be responsible for managing a highly technical team, leading the technical analytics and data strategy for the Mission Assurance function, hands-on coaching, problem solving, and creating the right analytics capabilities that align with our mission assurance objectives.   In this role, you will be responsible for providing data analytics to drive value across our business, interacting regularly with stakeholders, and developing key analytics frameworks for all business areas turning data into business insights and predictive / autonomous outcomes.  

  Responsibilities will include, but are not limited to:   

• Support requirements capture, design and technical implementation related to Data Analytics  

• Manage capacity, priorities, and performance for a high performing team of Database Engineers, Data Insight Analysts, and Data Scientists  

• Aligning Mission Assurance tools with functional, sector, and enterprise standards and best practices 

• Actively engage with customers and stakeholders to ensure services are delivered to meet or exceed expectations in a highly complex and dynamic environment  

• Acts as liaison with decision makers by providing data-informed strategic direction, and as a liaison with subject matter experts to obtain data sets and set expectations  

• Serving as the technical leader for all data tools for Mission Assurance  

• Building trust and working with Mission Assurance customers to understand organizational decision needs and relevant business questions.   

• Identifies, communicates, and quantifies opportunities for leveraging analytics solutions and applying data analytics. 

• Coordinating projects on classified programs 

• Upgrading and maintaining data infrastructure  

• Manage budget and people management  

• Project management/portfolio management  

• Demonstrate experience using analytics to inform business decisions   

• Demonstrate leadership skills in an analytics capacity as a project lead or people manager  

• Ability to extract and manipulate data from databases (e.g., SQL)   

• Ability to use statistical programming languages (e.g., R, Python)   

• Proficient in data visualization using Tableau or similar visualization tool  

• Collaborating on projects with multiple teams, managing relationships, and communicating findings to audiences   

• Experience working with MES and SAP data  

• Establish best practices for data analytics execution  

Basic Qualifications:  

• Bachelor’s Degree in Science, Technology, Engineering or Math (STEM) and 9 years of Analysis, Mission Assurance, Systems Engineer or relevant experience.; 7 years with a Master's degree  (STEM)

• Passion for being at the leading edge of Technology with hands-on software development or Analytics experience  

• Experience with data analytics and data science tools and techniques  

• Excellent written and verbal communication skills for varied audiences on analytical subject matter  

• Experience in process improvement methodologies, tools, and techniques  

• Experience in identifying and driving operational/organizational change and excellence  

• Proven ability to manage, prioritize, and provide transparency to projects being worked   

• Proven people management experience leading an organization  

• Demonstrated experience leading positive change, empowering people, cultivating product/technology visions and innovative solutions, and fostering effective teams  

• Demonstrated ability to transform business requirements to specific analytical tools  

• Understanding of mission assurance practices and processes   

• Active DOD Secret clearance with the ability to obtain SAP 

Preferred Qualifications:   

• Degree in quantitative field (e.g., Math, Physics, Engineering, Statistics, Economics)   

• Experience with PEO  

• Experience with Airflow or Dagster  

• Experience with Azure DevOps TFS or JIRA  

• Experience with U/X design principles   

• Solid statistical understanding and exposure to more advanced analytics, such as machine learning   

• Active DOD Secret, or Top Secret clearance