Chief Data Architect

Company Description

Join us and make YOUR mark on the World!

Are you interested in joining some of the brightest talent in the world to strengthen the United States’ security? Come join Lawrence Livermore National Laboratory (LLNL) where our employees apply their expertise to create solutions for BIG ideas that make our world a better place.

We are looking for individuals that demonstrate an understanding of working in partnership with team peers, who engage, advocate, and contribute to building an inclusive culture, and provide expertise to solve challenging problems.

Pay Rate

$294,780 - $380,424 Annually

This is the lowest to highest salary we in good faith believe we would pay for this role at the time of this posting.  An employee’s position within the salary range will be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, experience, skills, seniority, geographic location, performance, and business or organizational needs.

Job Description

We have an opening for a Chief Data Architect in the Strategic Deterrence (SD) Directorate. This leadership role focuses on ensuring the optimal design, integration, and management of data systems and repositories used throughout the data lifecycle to support mission-critical operations, enhance data accessibility, and drive the adoption of emerging technologies in artificial intelligence (AI), machine learning (ML), and data analytics across the organization. SD data is a combination of traditional IT assets, documents, simulation output from HPC systems, experimental data from advanced facilities, manufacturing data from modern production systems, and other sources as needed for the mission – spanning sources of multiple classification levels at the scale of multiple petabytes. You will interact with SD program personnel, high-level internal managers, enterprise partners, external sponsors, Laboratory support organizations, NNSA/DOE and LLNL senior managers. You will also play a critical role in advancing data architecture maturity in support of ongoing institutional and NNSA-driven Digital Transformation initiatives as well as the DOE’s broader data strategy.  This position will report to the SD Associate Deputy Director for Program Enablement which is in the Strategic Deterrence Directorate. 

In this role, you will 

• Develop, lead, and communicate SD's data architecture strategy, aligning it with program priorities, data governance policies, and security standards.  
• Create a roadmap for short- and long-term data architecture that ensures the strategic alignment of data, workflows/processes, and AI/ML initiatives. 
• Architect and implement systems and processes that enable seamless data integration across diverse platforms and sources, ensuring data is accessible, standardized, and relevant to users.  
• Develop enterprise data models that align with industry standards and best practices, ensuring efficient and effective data storage, access, and retrieval.  
• Support data stewardship efforts and cultural change towards a “data as product” environment by providing tools and best practices for metadata management, data quality, and data lifecycle management. 
• Work closely with the cybersecurity team to implement architecture that meets Federal security and privacy regulations, particularly with sensitive data.  
• Serve as a senior advisor to executives and other stakeholders on data architecture matters, building strong partnerships with stakeholders, IT, and data management teams to foster a data-driven culture. 
• Assess existing features of the data ecosystem, and work with SD Applications partners to identify gaps, remove duplicative functions, and streamline the long-term management of SD data. 
• Recognize and support plans to promote and foster a culture of inclusion, diversity, equity, and accountability within the workplace. 
• Perform other duties as assigned. 

Qualifications

• Ability to obtain and maintain a U.S. DOE Q-level security clearance which requires U.S. Citizenship.
• Master’s degree in field related to Computer Science, Engineering, Data Science or equivalent combination of education and related experience. 
• Extensive work experience in data engineering, data infrastructure implementation, and data architecture development in complex data environments including R&D and scientific data. 
• Extensive experience working in a senior management team environment with demonstrated high-level leadership effectively applied across internal and external organizations and constituencies. 
• Successful implementation and adoption of metadata management and data governance across teams, with experience integrating management tools (