Sr. Manager Data Strategy & Analytics

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. Please note that this opportunity is contingent on program funding. Start dates are determined after funding confirmation. Northrop Grumman Aeronautics Systems is seeking a Manager 3 Data Strategy & Analytics in Melbourne, FL. 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: Develop and implement a program-specific Data strategy that supports the Enterprise Data Strategy. Build and lead a high performing team of data architects, engineers, and scientists. Manage 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 lifecycles. Enable storing, searching, processing, and securing of extremely large structured or unstructured data sets. Proactively identify issues and inefficiencies within the business to develop and deploy solutions. Drive the adoption of data analysis methodologies across 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 program leaders and key stakeholders to identify and understand operational problems. Design and manage the data infrastructure, network, and system automation. User Interface/User Experience (UI/UX) design and development.