Data Scientist, Strategic

Job Title:

Data Scientist, Strategic Performance

Employer:

Texas A&M University System Offices

Location:

College Station, Texas (Position eligible for remote work)

Job Type: Staff

Salary:
Commensurate with experience

Benefits:
The System Offices, within the Texas A&M University System, provides an outstanding benefits package including, but not limited to: competitive health benefits; paid vacation, sick leave, and holidays; a defined benefit retirement plan to include an employer contribution through Teachers Retirement System of Texas (TRS); if applicable, a defined contribution retirement plan to include an employer contribution through an approved ORP vendor: additional voluntary tax deferred annuity (TDA) options;

tuition assistance; and wellness programs to promote work/life balance.

The Data Scientist, Strategic Performance provides advanced analysis and reporting to help System leadership monitor progress toward strategic goals, objectives, and performance expectations across The Texas A&M University System. The position develops and maintains key performance measures, reporting frameworks, scorecards, benchmarking studies, and progress reports that support strategic planning and organizational performance review. The position coordinates strategic plan performance data collection, reporting schedules, data dashboards, and measurement documentation to ensure consistent and reliable assessment of institutional and System-wide outcomes.

The position also produces analyses and executive reporting that support informed decision-making by senior leadership and the Board of Regents.

• Establish a system for measuring Key Performance Indicators across pillars of the Strategic Plan.
• Develop and manage data submission schedules, performance measures, reporting calendars, and review cycles.
• Create Strategic Plan scorecards and progress reports.
• Complete benchmarking analyses tied to Strategic Plan priorities.
• Report to the Board and executive leadership regarding overall plan progress.
• Other duties as assigned.

• Bachelor's degree in data science, statistics, economics, higher education administration, public policy, computer science, information systems, mathematics, operations research, social sciences, or a related field, or an equivalent combination of education and experience.
• Seven years of progressively responsible experience in strategic planning, performance measurement, institutional research, business intelligence, data analytics, program evaluation, or a related field.
• Experience must include developing key performance indicators, implementing reporting frameworks, conducting benchmarking and comparative analyses, and communicating results to executive leadership.

• Extensive knowledge of strategic planning, organizational performance measurement, business intelligence, benchmarking methodologies, and program evaluation techniques.
• Skill in leading analytical initiatives that inform organizational strategy and decision-making in high-visibility environments with significant operational, financial, or policy implications is required.
• Skill in translating complex data into actionable recommendations for executive leadership, governing boards, policymakers, or other senior decision-makers.
• Proficiency with analytical, statistical, and data visualization tools such as SQL, Python, R, Power BI, Tableau, or comparable technologies used for advanced analysis, reporting, and decision support.
• Ability to acquire, integrate, manage, and analyze large and complex datasets from multiple sources while ensuring data quality, integrity, and appropriate use.
• Ability to develop performance measures, dashboards, scorecards, benchmarking studies, predictive analyses, and other analytical products that support organizational planning and decision-making.
• Strong verbal, written, presentation, and data storytelling skills, including the ability to communicate complex analytical findings to executive leaders, boards, policymakers, and both technical and non-technical audiences.
• Ability to independently lead complex analytical initiatives, exercise sound professional judgment, and deliver reliable information and recommendations in situations involving significant strategic, financial, operational, or policy implications.
• Ability to multi-task and work cooperatively with others.

• Doctorate or master's degree in data science,…