What are the responsibilities and job description for the Strategic Data Administrator position at San Francisco Bay Area Rapid Transit District (BART)?
Note: The first review of applications will be Sunday, November 16 2025.
Pay Rate
AFSCME Pay Grade 19
This job classification has moved to a salary step structure as of January 1, 2025. Individuals hired into the classification will typically be appointed at step 1 of the salary range. They will advance to step 2 after working in the position for six (6) months, to step 3 one year from the hire date, and to steps 4 and 5 at one-year intervals thereafter. Each salary step progression will provide a 5% increase to the employee’s base salary until step 5 is reached. The salary range for this job classification is $151,840.00 to 184,537.60 per year.
The negotiable salary offer will be $151,840.00 (Step 1), commensurate with experience and education.
Who May Apply
All current BART employees and qualified individuals who are not yet BART employees.
Reports To
Chief Safety Officer or designee.
Current Assignment
Bay Area Rapid Transit (BART) District is seeking a Strategic Data Administrator who is passionate about using data to shape the future of public transportation. The Strategic Data Administrator will play a key role in driving data-informed decision-making across departments by applying advanced analytics, predictive modeling, and business intelligence strategies.
The selected candidate will be responsible for overseeing projects focused on analyzing safety data within the District, using data-driven insights to identify trends, potential hazards, and areas for improvement to proactively prevent workplace accidents and enhance overall safety performance across the District. The initial focus will be on maintenance capital projects managed by the Maintenance Department and/or Office of Infrastructure Delivery.
This role will provide targeted safety oversight for capital and construction projects, partnering closely with project teams to strengthen safety culture and performance through:
- Conducting continuous safety support including safety risk assessments and data analyses
- Developing safety dashboards including key performance indicators
- Manage and implement safety analytics initiatives using safety management system (SMS) software or tool for advanced trend and risk-based analyses
The most qualified candidates for this position will have highly developed competencies in the following areas, which will be reinforced with related work experience and will be clearly articulated during the selection process:
- Safety Risk Management & Assessment Methodologies - Familiarity with hazard identification, risk matrices, root cause analysis, and failure mode and effects analysis (FMEA).
- Dashboard Development & Data Visualization - Skilled in designing interactive dashboards that clearly communicate safety performance metrics and trends.
- Key Performance Indicators (KPIs) for Safety & Operations - Understanding of how to define, monitor, and report on safety-related KPIs across complex systems.
- Software Development Lifecycle & IT Collaboration - Knowledge of how to collaborate with IT teams to develop or enhance systems and applications that support safety analytics.
Selection Process
This position is represented by American Federation of State, County, and Municipal Employees (AFSCME). Applications will be screened to assure that minimum qualifications are met. Those applicants who meet minimum qualifications will then be referred to the hiring department for the completion of further selection processes. The selection process for this position may include a supplemental questionnaire, skills/performance demonstration, and a panel and/or individual interview. Then selection process will include the following phases:Phase 1: Minimum Qualification Screening (may include additional screening criteria beyond the minimum qualifications)
Phase 2: Supplemental Questionnaire Screening
Phase 3: Panel Interview
The successful candidate must have an employment history demonstrating reliability and dependability; provide copies of certificates, diplomas or other documents as required by law, including those establishing his/her right to work in the U. S.; pass a pre-employment medical examination which includes a drug and alcohol screen, and which is specific to the essential job functions and requirements. Pre-employment processing will also include a background check. (Does not apply to current full-time District employees unless specific job requires additional evaluations)
The selection process for this position will be in accordance with the applicable collective bargaining agreement.
Application Process
External applicants may only apply online, at www.bart.gov/jobs.Applicants needing assistance with the online application process may receive additional information by calling (510) 464-6112.
Current employees are strongly encouraged to apply online, either at www.bart.gov/jobs, or on Employee Connect. Current employees may also apply using a BART paper application by delivering the completed form to the Human Resources Department, or by mailing it to P.O. Box 12688, Oakland, CA 94604-2688.
All applicants are asked to complete the application in full, indicating dates of employment, all positions held, hours worked, and a full description of duties. Online applicants are invited to electronically attach a resume to the application form to provide supplemental information but should not consider the resume a substitute for the application form itself.
Applications must be complete by the closing date and time listed on the job announcement.
- Designs, develops, monitors, and maintains scalable data pipelines and analytics workflows; collects, cleans, integrates, and analyzes large, complex datasets, interprets trends and patterns to meet department needs and support enterprise-level data initiatives.
- Builds advanced predictive models and machine-learning algorithms for all aspects of department operations to discover insights, provide actionable recommendations, and drive likely outcomes; combines models through ensemble modeling to reduce the generalization error of prediction in forecasting likely outcomes; develops and implements predictive models like decision tree regression using R or a similar programming language.
- Creates and utilizes advanced data visualization tools to conduct the extraction, manipulation, and analysis of data to forecast operational needs, resource utilization, efficiency, reliability, and other variables critical to department and organizational performance.
- Leads or conducts ad hoc and ongoing research and analysis projects utilizing the latest information and plans to evaluate operational, program, and resource performance; provides management with strategic operational scenarios for decision making and implementation.
- Contributes to defining key metrics and key performance indicators that measure outcomes and deliver appropriate solutions; builds dashboards, scorecards, reports and any other graphical documentation to meet service level and other operational requirements.
- Serves as a subject matter expert for management in the areas of data analytics, business intelligence and reporting data related to operational, programmatic, compliance, and financial performance.
- Makes recommendations for policy and programmatic changes within the assigned department; drives those recommendations through to action as appropriate.
- Evaluates effectiveness of models, reports, and programs; conducts field reviews with front-line staff to validate data and assess operations; prepares analytical and ad hoc reports with actionable insights to help better decision making.
- Supports the advancement of analytical capabilities within the department.
- Communicates, disseminates and presents analysis to management staff on an ongoing basis.
- Utilizes excellent people, organizational, and communication skills to interface with a cross section of staff.
Experience:
Current employment with the Bay Area Rapid Transit District (BART) and at least two (2) years of experience as a Principal in the assigned area, along with demonstrated knowledge of data analysis, reporting, and evaluation relevant to departmental needs.
OR
Education:
A bachelor’s degree in computer science, information systems, statistics, math, data analytics, or related data-oriented field of study from an accredited college or university.
Experience:
Four (4) years of (full-time equivalent) verifiable data analytics or modeling experience.Substitution:
Additional professional experience as outlined above may be substituted for the education on a year-for-year basis. A college degree is preferred.
Work Conditions
Environmental Conditions:
Office environment; exposure to computer screens; shops and maintenance facility environment.
Physical Conditions:
May require maintaining physical condition necessary for walking, standing, or sitting for prolonged periods of time.
Knowledge of:
- Advanced Excel and other data visualization tools to extract, manipulate, integrate, and analyze data including SQL, DAX, Power BI, Python, R and/or other coding languages and data visualization tools.
- Principles and practices of operations, services and activities of an operation, maintenance, transit and/or production-based department.
- Concepts and techniques related to operations-based and financial modeling and analysis.
- Comparative analysis techniques and formulas.
- Methods and techniques for assessing performance against established objectives.
- Principles and practices of project management.
- Principles and practices of program development and administration.
- Principles and practices of budget preparation and administration.
- Principles and practices of policy development and administration.
- Principles and practices of recordkeeping and reporting.
- Principles and practices of Reliability Centered Maintenance
- Principles and practices of effective written and oral communication.
- Related Federal, State, and local laws, codes, and regulations.
Skill in:
- Advanced data visualization and mining technologies, applications and practices for the collection, manipulation, integration, analysis, developing assessments, and reporting.
- Advanced data modeling, analysis, and reporting
- Analyzing problems, identifying alternative solutions, projecting consequences of proposed actions and implementing recommendations in support of goals.
- Interpreting and explaining department policies and procedures.
- Developing and administering division goals, objectives, and procedures.
- Designing and implementing dashboards, scorecards, reports and any other graphical documentation
- Analyzing algorithms to compute the time and memory size of different data science techniques for distributed, clustered, and cloud-based applications
- Process improvement design and implementation.
- Researching, analyzing, and evaluating new service delivery methods and techniques.
- Attention to detail and accuracy.
- Multi-tasking and prioritizing workload.
- Preparing clear and concise reports.
- Communicating clearly and concisely, both orally and in writing.
- Establishing and maintaining effective working relationships.
Salary : $151,840 - $184,538