Chief of Data Analytics, Methodology, and Integration

MINIMUM REQUIREMENTS:

Education & Experience:

Bachelor’s degree in scientific or analytic field and eight years of relevant experience or a combination of education and relevant experience.

Knowledge, Skills and Abilities:

●      Experience using and designing key data structures, algorithms and techniques pertinent to systems that support high volume, velocity, or variety datasets including (data mining, machine learning, NLP, data retrieval, extract, transform, load (ETL) techniques)

●      Advanced level knowledge of relational, NoSQL, and graph database systems, and data modeling, structured and unstructured.

●      Advanced level knowledge of parallel and distributed data processing techniques and platforms (MPI, Map/Reduce, Batch) and systems.

●      Advanced level knowledge in scripting languages, expertise with high performance/systems languages and techniques.

●      Experience in benchmark software development and programmable fields/systems, ability to analyze systems and data pipelines and propose solutions that leverage emerging technologies.

●      Expertise architecting and deploying reliable data systems and data quality management systems.

●      Ability to use and integrate security controls for web applications, mobile platforms, and backend systems.

●      Extensive experience in the evaluation, design, and deployment of new tools, frameworks, and patterns to build scalable Big Data platforms.

●      Ability to document use cases, solutions and recommendations.

●      Demonstrated excellence in written and verbal communication skills.

●      Project management skills and ability to understand and apply systems for storing and analyzing datasets.

●      Ability to mentor, motivate, and provide guidance to staff on definitive tasks.

Certifications and Licenses:

None

PREFERRED REQUIREMENTS:

Education & Experience:

Advanced degree in scientific or analytic field, with a strong foundation in statistics.

Expertise in architecting and engineering data in the public sector, particularly for a federal government agency.

Do you have, or want to develop, these knowledge, skills and abilities?

• Expertise in (No)SQL, graph and vector databases, solving multidimensional, non-linear data problems, deep learning models, and predictive analytics.
• Expertise in designing RAG-optimized LLM agents.
• Expertise in meeting data privacy, compliance, and FAIR (findable, accessible, interoperable, and reusable) standards.
• Expertise in developing and implementing software evaluation metrics.
• Expertise in scientometric, bibliometric, and/or patent research methodologies.
• Demonstrated interest or experience in the intersection of data science and public policy, especially in developing rigorous empirical methods to identify risk in the domains of national and economic security.
• Growth mindset, personal initiative to upskill and develop new competencies in a supportive environment.
• Highly organized with keen attention to details; ability to produce high-quality work on deadlines; strong relationship-building skills; ability to interact comfortably and work effectively with others to set timelines, map milestones, meet deadlines, and manage a team with competing priorities and deadlines.

PHYSICAL REQUIREMENTS*:

• Frequently perform desk based computer tasks, seated work and use light/ fine grasping. Occasionally stand, walk, and write by hand, lift, carry, push pull objects that weigh up to 10 pounds.

WORKING CONDITIONS:

• May be required to work non-standard, extended or weekend hours in support of research work.
• Occasional overnight business travel

WORK STANDARDS:

• Interpersonal Skills: Demonstrates the ability to work well with Stanford colleagues and clients and with external organizations.
• Promote Culture of Safety: Demonstrates commitment to personal responsibility and value for safety; communicates safety concerns; uses and promotes safe behaviors based on training and lessons learned.
• Subject to and expected to comply with all applicable University policies and procedures, including but not limited to the personnel policies and other policies found in the University's Administrative Guide, http://adminguide.stanford.edu.

The expected pay range for this position is $189,000 to $190,000 per annum.
Stanford University provides pay ranges representing its good faith estimate of what the university reasonably expects to pay for a position. The pay offered to a selected candidate will be determined based on factors such as (but not limited to) the scope and responsibilities of the position, the qualifications of the selected candidate, departmental budget availability, internal equity, geographic location and external market pay for comparable jobs.

At Stanford University, base pay represents only one aspect of the comprehensive rewards package. The Cardinal at Work website (https://cardinalatwork.stanford.edu/benefits-rewards) provides detailed information on Stanford’s extensive range of benefits and rewards offered to employees. Specifics about the rewards package for this position may be discussed during the hiring process.

Studies have shown that people from certain backgrounds are less likely to apply for jobs unless they believe they can perform every job description task. We are most interested in finding the best candidate for the job, and that candidate may come from a less traditional background. We may consider an equivalent combination of knowledge, skills, education, and experience to meet minimum qualifications. If you are interested in applying, we encourage you to think broadly about your background and skill set for the role.

The Hoover Institution at Stanford University is an equal opportunity employer, and all qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other characteristic protected by law.

The job duties listed are typical examples of work performed by positions in this job classification and are not designed to contain or be interpreted as a comprehensive inventory of all duties, tasks, and responsibilities. Specific duties and responsibilities may vary depending on department or program needs without changing the general nature and scope of the job or level of responsibility. Employees may also perform other duties as assigned.
  
Consistent with its obligations under the law, the University will provide reasonable accommodations to applicants and employees with disabilities. Applicants requiring a reasonable accommodation for any part of the application or hiring process should contact Stanford University Human Resources by submitting a contact form.
  
Stanford is an equal employment opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or any other characteristic protected by law.