Sentinel - Systems Data Architect

RELOCATION ASSISTANCE:
No relocation assistance available
CLEARANCE TYPE:
Secret
TRAVEL:
Yes, 25% of the Time

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.

Join Northrop Grumman on our continued mission to push the boundaries of possible across land, sea, air, space, and cyberspace. Enjoy a culture where your voice is valued and start contributing to our team of passionate professionals providing real-life solutions to our world’s biggest challenges. We take pride in creating purposeful work and allowing our employees to grow and achieve their goals every day by Defining Possible.

With our competitive pay and comprehensive benefits, we have the right opportunities to fit your life and launch your career today.

Northrop Grumman Defense Systems is seeking a highly motivated and qualified Staff System Data Architect in Manhattan Beach, CA
. Northrop Grumman supports the Air Force’s sustainment, development, production and deployment of hardware and system modifications for Intercontinental Ballistic Missile (ICBM) Ground and Airborne Launch Control Systems, Launch Facilities and associated infrastructure.

What you will get to do:

Specific duties to include:

• Develop and execute a comprehensive data strategy, aligned with the organization’s goals, and focuses on digital engineering, digital thread, and advanced analytics across weapon system design for initial development through sustainment.
• Oversee the design, implementation, and maintenance of scalable data infrastructure, to include data creation/collection, storage, management, integration and analysis, and data serving.
• Collaborate with engineering and business leaders to align data initiatives with program goals.
• Develop and enable program data risks management process in concurrence with program risk management.
• Maintain knowledge of current and emerging Industry and DoD trends and technologies in data frameworks, management and analytics and ensure proper utilization where applicable.
• Mentor and build a high-performing data team, fostering a culture of technical excellence and innovation.
• Serve as a thought leader, representing the company at industry forums, conferences, and with government and commercial partners.

General Responsibilities:

• Display strong stakeholder management skills, including presenting solutions to senior leadership.
• Leading organizational change and ensuring successful adoption of new technologies and best practices.
• Mentor junior engineers and fostering a culture of continuous improvement.
• Build and lead high-performing teams, including recruitment, performance management, and professional development.
• Ability to strategically allocate resources and manage budgets to optimize team performance and deliver value-driven results.
• Design and implement Dev Ops frameworks for data teams, improving operational efficiency and reducing time-to-insight.
• Drive company-wide data strategy and innovation, aligning technical goals with business objectives.
• Influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.
• Manage data governance, data security, data modeling, and enterprise architecture frameworks.
• Provide experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources.
• Data Architecture development with and understanding of data lakes, warehouses, and/or streaming platforms.
• Technical Skills and
  
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