NG Fellow – SDS Division Chief Data Engineer - R10189666

Overview

NG Fellow 1 – SDS Division Chief Data Engineer - R at Northrop Grumman. Relocation assistance may be available. Clearance type:
Secret. Travel:
Yes, 25% of the time.

Location:

Roy, Utah.

• Develop and execute a comprehensive data strategy, aligned with the organization’s goals, focusing on digital engineering, digital thread, and advanced analytics across weapon system design, manufacturing, and sustainment.
• Oversee the design, implementation, and maintenance of scalable data infrastructure, including data creation/collection, storage, management, integration and analysis, and data serving through modern technology.
• Lead and govern the use of the Program data infrastructure and capabilities to ensure seamless data flow and traceability across engineering, supply chain, and operational systems, including functional allocated and product baseline data from suppliers.
• Drive innovation and program adoption of data science, machine learning, and AI to enhance program performance.
• Collaborate with engineering and business leaders to align data initiatives with corporate goals, including leveraging AI, digital twins, model-based systems engineering (MBSE), and Industry 4.0 adoption.
• Develop and enable program data risk management processes in concurrence with program risk management.
• Maintain knowledge of current and emerging trends and technologies in data 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.

• Demonstrated ability to lead cross-functional teams and interface across disciplines: systems engineering, Dev Ops, data engineering, and IT.
• Strong stakeholder management skills, including presenting solutions to senior leadership.
• Experience in leading organizational change and ensuring successful adoption of new technologies and best practices.
• Experience mentoring junior engineers and fostering a culture of continuous improvement.
• Proven ability to 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.
• Proven ability to design and implement Dev Ops frameworks for data teams, improving operational efficiency and reducing time-to-insight.
• Experience in leading cloud transformation projects for legacy data systems.
• Demonstrated success in driving company-wide data strategy and innovation, aligning technical goals with business objectives.
• Ability to influence and gain buy-in from key stakeholders, ensuring alignment and successful project delivery.

• Expertise in data governance, data security, data modeling, and enterprise architecture frameworks.
• Experience in understanding, managing, and integrating business or DoD Program data across a variety of tool sets and data sources.
• Data Architecture experience with data lakes, warehouses, and/or streaming platforms.
• Data Engineering experience with tooling such as Apache Spark and Kafka, and orchestration tools like Apache Airflow or equivalent.
• Continuous Integration/Continuous Deployment experience with CI/CD tools like Jenkins or Git Lab tailored for data pipelines.
• Cloud expertise with platforms such as AWS or Azure.

• Bachelor’s degree in Computer Science, Data Engineering, Information Systems, or a related field and 20+ years of related experience; 18+ years with a Master’s; 15+ years with a PhD.
• 10+ years of experience in data infrastructure, Dev Ops, and data engineering, with 3+ years in a leadership or senior technical role.
• Active Secret Security Clearance.
• Proven track record of architecting and delivering scalable, secure, and cost-effective data platforms, preferably on cloud-based platforms.
• Demonstrated experience leading large-scale projects from conception to deployment, managing multidisciplinary teams, and driving success through…