What You Will Do
The Weapons Infrastructure Program Office (WIPO) seeks a visionary leader to serve as the Analytics & Decision Support Project-Program Director. This Project-Program Director 6 position leads WIPO's analytic capabilities, providing the quantitative foundation for portfolio management, strategic planning, and executive decision-making across WIPO's billion-dollar infrastructure portfolio.
WIPO serves as the lifecycle asset portfolio director for weapons program infrastructure at Los Alamos National Laboratory. The Analytics & Decision Support Program Director is responsible for developing, maintaining, and continuously improving the tools, metrics, analytics, and decision support systems that enable WIPO to effectively manage its integrated portfolio and support decisions by WIPO and Laboratory leadership.
This position requires an exceptional leader who combines deep technical expertise in data analytics, artificial intelligence, and decision science with the ability to translate complex quantitative analysis into actionable insights for senior executives. The Analytics & Decision Support Project-Program Director must operate at the intersection of advanced analytics, infrastructure management, mission integration, and federal program requirements
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Specifically, the Analytics & Decision Support Project-Program Director will be responsible for:
- Strategic Analytics Leadership: Provide overall leadership, vision, and strategic direction for WIPO's Analytics & Decision Support Program element, ensuring analytics capabilities enable data-driven, transparent, and quantitative portfolio management across all WIPO program elements;
- Tool and System Development: Direct the development, deployment, and maintenance of integrated tools that quantitatively assess the WIPO portfolio, including portfolio optimization models, risk analysis frameworks, scenario planning systems, and decision support applications;
- Artificial Intelligence and Advanced Analytics: Lead the application of artificial intelligence, machine learning, and advanced analytical methods to infrastructure portfolio management, including predictive analytics for asset performance, optimization algorithms for resource allocation, and automated reporting and analysis capabilities;
- Metrics, Dashboards, and Reporting: Develop and maintain comprehensive metrics, dashboards, and reporting systems that provide transparent, accurate, and timely information on portfolio health, project performance, risk status, and mission capability readiness to WIPO leadership, Laboratory executives, and NNSA federal program offices;
- Scenario Planning and Strategic Analysis: Direct the development and application of scenario planning tools that capture, analyze, and communicate potential futures, enabling WIPO leadership to anticipate mission changes, evaluate alternative strategies, and make proactive portfolio decisions;
- Mission Capability Assessment: Develop and maintain quantitative frameworks for assessing infrastructure capability alignment with mission requirements, including gap analysis, capability forecasting, and investment prioritization models;
- Assurance and Effectiveness Evaluation: Lead the development of assurance and effectiveness evaluation frameworks that objectively assess WIPO program performance, identify improvement opportunities, and ensure continuous enhancement of portfolio management practices;
- Data Governance and Quality: Establish and enforce rigorous data governance standards, ensuring the highest levels of data accuracy, integrity, transparency, and security across all WIPO analytics systems and databases;
- NNSA Data Call Coordination: Serve as the primary point of contact for NNSA data calls, coordinating across WIPO program elements and Laboratory organizations to provide accurate, timely, and comprehensive responses to federal program office requests;
- Cross-Program Integration: Coordinate closely with the other WIPO Program Directors (Capability Delivery, Transitions to Operations and Disposition, and Operations & Maintenance) to ensure analytics tools meet their needs and support integrated portfolio decision-making;
- Laboratory Mission Assurance Integration: Interface with Laboratory mission assurance organizations, metrics and tool development groups, and data analytics teams to leverage institutional capabilities, avoid duplication, and ensure consistency with Laboratory-wide data standards and governance;
- Federal Program Coordination: Interface with NA-91, NA-193, and other NNSA federal program offices to understand their data requirements, reporting expectations, and analytical needs, ensuring WIPO analytics capabilities support federal program management;
- Technical Innovation: Monitor external developments in program management analytics, data science, artificial intelligence, and decision support technologies, evaluating their potential applicability to WIPO portfolio management and leading implementation of beneficial innovations;
- Standards and Best Practices: Hold the Analytics & Decision Support Program element to the highest standards of accuracy, transparency, rigor, and professional excellence, implementing industry best practices and continuous improvement methodologies;
- Staff Leadership and Development: Lead, mentor, and develop a high-performing team of data scientists, analysts, software developers, and decision support specialists, fostering a culture of innovation, rigor, and customer service; and
- Executive Communication: Translate complex quantitative analyses into clear, concise insights and recommendations for WIPO leadership, Laboratory executives, and federal program managers, supporting high-stakes decision-making with rigorous analytical foundations.
The WIPO Analytics & Decision Support Project-Program Director reports directly to the WIPO Program Director and serves as a member of WIPO's senior leadership team.
For full consideration, applicants must provide a cover letter addressing each of the individual minimum job requirements.
What You Need
Minimum Job Requirements:
- Demonstrated consultative-level knowledge of advanced data analytics, data science, and quantitative decision support methodologies, including their application to complex portfolio management, resource optimization, and strategic planning.
- Demonstrated consultative-level knowledge of artificial intelligence and machine learning technologies, including their practical application to infrastructure management, predictive analytics, portfolio optimization, and automated decision support systems.
- Demonstrated extensive experience developing, implementing, and maintaining enterprise-level analytics platforms, dashboards, metrics systems, and reporting tools in complex organizational environments.
- Demonstrated consultative-level knowledge of scenario planning methodologies, risk analysis frameworks, and strategic forecasting techniques, including their application to infrastructure portfolio management and mission capability planning.
- Demonstrated extensive experience in data governance, data quality management, and establishing data standards across large, diverse organizations with multiple stakeholders and data sources.
- Demonstrated consultative-level knowledge of program and portfolio management principles, including project controls, earned value management, work breakdown structures, and performance measurement systems.
- Demonstrated extensive experience interfacing successfully with senior executives, federal program managers, and diverse stakeholder groups, translating complex analytical findings into actionable insights and recommendations.
- Demonstrated consultative-level knowledge of DOE/NNSA program management requirements, including G2 or similar federal program management information systems, planning and budget process data requirements, and federal reporting expectations.
- Demonstrated exceptional oral and written communication and presentation skills, including the ability to present complex quantitative analysis to non-technical audiences and senior leadership.
- Demonstrated extensive experience leading technical teams, including data scientists, software developers, and analysts, in matrixed organizational environments.
- Demonstrated extensive experience leading organizational change, driving continuous improvement, and building high-performing teams in matrixed, complex organizational environments.
- Ability to obtain a DOE Q clearance.
Education and Experience: Position requires a minimum of a bachelor's degree in data science, computer science, statistics, operations research, engineering, applied mathematics, or related quantitative field, and at least fifteen years relevant experience, or an equivalent combination of education and experience. An advanced degree (M.S. or Ph.D.) in a quantitative discipline is highly desired. Professional certifications in data science, analytics, or project management are preferred.
Desired Qualifications:
- Demonstrated consultative-level knowledge of infrastructure lifecycle management, facility operations, construction project management, and asset portfolio management.
- Experience with the NNSA Weapons Complex, Nuclear Security Enterprise, and DOE/NNSA infrastructure programs, particularly NA-91 and NA-193.
- Deep understanding of the LANL weapons program, mission requirements, and infrastructure dependencies.
- Experience with cloud computing platforms, big data technologies, and modern software development practices (DevOps, Agile, CI/CD).
- Proficiency in multiple programming languages and analytical tools (e.g., Python, R, SQL, Tableau, Power BI, MicroStrategy, machine learning frameworks).
- Experience with optimization algorithms, operations research techniques, and mathematical modeling for portfolio management.
- Knowledge of DOE Orders, NNSA policies, Integrated Safety Management, and Laboratory procedures relevant to infrastructure management.
- Experience developing and implementing assurance and effectiveness evaluation frameworks for complex programs.
- Track record of innovation in analytics and decision support, including publications, patents, or recognition for technical contributions.
- Experience with mission assurance, risk management, and quality assurance in high-consequence environments.
- An active DOE Q clearance.
Work Environment:
Work Location:
The work location for this position is onsite and located in Los Alamos, NM. All work locations are at the discretion of management.
Position commitment:
Regular appointment employees are required to serve a period of continuous service in their current position in order to be eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the time required, they may only apply for Laboratory jobs with the documented approval of their Division Leader. The position commitment for this position is 1 year.
Note to Applicants:
Due to federal restrictions contained in the current National Defense Authorization Act, citizens of the People's Republic of China-including the special administrative regions of Hong Kong and Macau-as well as citizens of the Islamic Republic of Iran, the Democratic People's Republic of Korea (North Korea), and the Russian Federation, who are not Lawful Permanent Residents ("green card" holders) are prohibited from accessing facilities that support the mission, functions, and operations of national security laboratories and nuclear weapons production facilities, which includes Los Alamos National Laboratory.
Where You Will Work
Located in beautiful northern New Mexico, Los Alamos National Laboratory (LANL) is a multidisciplinary research institution engaged in strategic science on behalf of national security. Our generous benefits package includes:
- PPO or High Deductible medical insurance with the same large nationwide network
- Dental and vision insurance
- Free basic life and disability insurance
- Paid childbirth and parental leave
- Award-winning 401(k) (6% matching plus 3.5% annually)
- Learning opportunities and tuition assistance
- Flexible schedules and time off (PTO and holidays)
- Onsite gyms and wellness programs
- Extensive relocation packages (outside a 50 mile radius)
Additional Details
Directive 206.2 - Employment with Triad requires a favorable decision by NNSA indicating employee is suitable under NNSA Supplemental Directive 206.2. Please note that this requirement applies only to citizens of the United States. Foreign nationals are subject to a similar requirement under DOE Order 142.3A.
Clearance: Q (Position will be cleared to this level). Selected applicants will be subject to a background investigation conducted by or on behalf of the Federal Government, and must meet eligibility requirements* for access to classified matter. This position requires a Q clearance, and obtaining such clearance requires US Citizenship except in extremely rare circumstances. Dependent upon the position, additional authorization to access classified information may be required, which may or may not be available to dual citizens. Receipt of a Q clearance and additional access authorization ultimately is a decision of the Federal Government and not of Triad.
- Eligibility requirements: To obtain a clearance, an individual must be at least 18 years of age; U.S. citizenship is required except in very limited circumstances. See DOE Order 472.2 for additional information.
New-Employment Drug Test: The Laboratory requires successful applicants to complete a new-employment drug test and maintains a substance abuse policy that includes random drug testing. Although New Mexico and other states have legalized the use of marijuana, use and possession of marijuana remain illegal under federal law. A positive drug test for marijuana will result in termination of employment, even if the use was pre-offer.
Regular position: Term status Laboratory employees applying for regular-status positions are converted to regular status.
Internal Applicants: Regular appointment employees who have served the required period of continuous service in their current position are eligible to apply for posted jobs throughout the Laboratory. If an employee has not served the required period of continuous service, they may only apply for Laboratory jobs with the documented approval of their Division Leader. Please refer to Policy Policy P701 for applicant eligibility requirements.
Incentive Compensation Program: Position is eligible to participate in the Triad Incentive Compensation Program. You must be in an eligible position for a minimum of 3 months, before July 1st and remain in an eligible position as of the end of the fiscal year, September 30th. The annual distribution is prorated based on the number of months in the eligible position.
Equal Opportunity: Los Alamos National Laboratory is an equal opportunity employer. All employment practices are based on qualification and merit, without regard to protected categories such as race, color, national origin, ancestry, religion, age, sex, gender identity, sexual orientation, marital status or spousal affiliation, physical or mental disability, medical conditions, pregnancy, status as a protected veteran, genetic information, or citizenship within the limits imposed by federal, state, and local laws and regulations. The Laboratory is also committed to making our workplace accessible to individuals with disabilities and will provide reasonable accommodations, upon request, for individuals to participate in the application and hiring process. To request such an accommodation, please send an email to
[email protected] or call (505)-664-6947.
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