U.S. citizenship required for DOE Q-level security clearance.
Bachelor's degree in data science, computer science, information systems, analytics, engineering, or accounting.
Extensive experience in audit, ethics, internal controls, or analytics in regulated environments.
Expertise in data science, analytics, and decision-support systems.
Proven leadership in managing teams and delivering impactful outcomes.
Experience with projects that have broad organizational implications.
Strong communication skills for engaging with senior leaders and stakeholders.
Responsibilities
Lead strategy and long-term objectives for Audit, Ethics, and Internal Controls.
Direct complex initiatives with Lab-wide significance.
Develop governance frameworks and performance measures for organizational effectiveness.
Oversee planning and improvement of Audit Reports and Ethics advisories.
Enhance analytical capabilities through data quality and visualization tools.
Provide operational direction for leadership decision-making and risk identification.
Manage a team of approximately 14 professionals, fostering development and resource allocation.
Benefits
Recognized as one of the Best Places to Work by Glassdoor in 2026.
Flexible benefits package tailored to employee needs.
401(k) retirement plan options.
Relocation assistance for new hires.
Education reimbursement program for professional development.
Flexible work schedules based on project requirements.
Full Job Description
Job Description
You will
Lead the organization in setting strategy, priorities, and long-range objectives for institutional Audit, Ethics, Internal Controls, and data science-enabled technical decision support functions.
Direct a portfolio of highly visible and complex initiatives with Lab-wide impact.
Develop and champion governance frameworks, operating models, and performance measures that guide execution and sustain organizational effectiveness.
Lead the planning, execution, and continuous improvement of institutional Audit Reports, Internal Control products, and Ethics advisories.
Build and strengthen analytical capabilities, including data quality, dashboards, risk analytics, data visualization, process mining, artificial intelligence, and automation to improve oversight and decision support.
Provide technical and operational direction for work that informs leadership decisions, risk identification, and Lab-wide organizational performance.
Manage a team of professionals and supervisors with an approximate span of control of 14 total staff, including technical staff positions to deliver mission.
Assign work, allocate resources, manage priorities, and support staff development through coaching, mentoring, and performance feedback.
Define methods and approaches to integrity work independently and with significant latitude.
Ensure work is reviewed through milestones and outcomes, exercising sound judgment within established policies.
Regularly partner with senior leaders, external partners, technical teams, and cross-functional stakeholders across the Laboratory to address complex issues and provide practical solutions.
Present technical findings, recommendations, and decision-support products to management and other stakeholders, including the LLNS Board of Governor's Audit, Ethics & Assurance Committee.
Ensure that organization outputs influence Lab priorities, organizational effectiveness, and operational accountability.
Lead efforts that shape governance, oversight, and internal control practices across the Laboratory.
Participate in the Contractor Audit Executive Council (CAEC), a cross-DOE coordination and communication mechanism.
Foster a culture of integrity, collaboration, transparency, and continuous improvement.
Perform other duties as assigned.
Qualifications
Ability to secure and maintain a U.S. DOE Q-level security clearance, which requires U.S. citizenship.
Bachelor's degree with specialization in data science, computer science, information systems, analytics, engineering, and/or accounting or equivalent combination of education and experience.
Extensive experience leading audit, ethics, internal controls, analytics, or related oversight functions in a complex, mission-driven, or highly regulated environment.
Expert-level technical and operational knowledge and application in data science, analytics, data engineering, data governance, or decision-support systems.
Demonstrated ability to lead teams, set priorities, manage resources, and deliver high-impact outcomes.
Experience leading projects and portfolios with broad organizational impact.
Expert knowledge of audit practices, ethics programs, internal controls, governance, and accountability frameworks.
Ability to analyze complex problems, assess risk, and recommend effective solutions.
Expert written, verbal, and interpersonal communication skills.
Experience working with senior leaders and multidisciplinary stakeholders to influence decisions and improve outcomes.
Ability to manage sensitive information with discretion and sound judgment
Qualifications We Desire
Relevant professional certifications, such as CPA, CIA, CFE, or CCEP, or equivalent combination of education and experience.
Master's degree in accounting, data science, computer science, information systems, analytics, or engineering.
Experience supporting oversight, audit, ethics, internal controls, assurance, assessment, compliance, or related institutional functions.
Experience with creating dashboards, data visualization, process mining, risk analytics, automation, or other novel approaches to decision-support tools.
Knowledge of Laboratory management, organizational structure, and operating environments.
Familiarity with DOE, NNSA, or other highly regulated operational environments.
Experience leading matrixed teams, subordinate leads, or cross-functional communities of practice.
Experience preparing briefings, reports, and executive-level recommendations for decision-making.
Experience supporting training, knowledge management, or organizational capability development.
Experience improving business processes, internal controls, and governance frameworks.
Pay Range
$240,960 - $305,544 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; pay will not be below any applicable local minimum wage. 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.
Additional Information
#LI-Hybrid
Position Information
This is a Career Indefinite position, open to Lab employees and external candidates.
Why Lawrence Livermore National Laboratory?
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