Principal Data Analyst

University of Texas; Austin (TX); On-site; USD 115,000 - 150,000; Full time

Job summary

The University of Texas at Austin seeks a Principal Data Analyst to serve as a senior analytics expert, partnering with executive leadership to drive enterprise-wide analytics initiatives. This role focuses on healthcare analytics, predictive modeling, and AI-driven insights to influence clinical, operational, and financial outcomes.

You will lead the design of scalable data pipelines, governance, and analytics programs, ensuring data integrity and impactful decision support across multiple

Qualifications

• Requires a strong background in healthcare analytics and data science.
• Experience leading enterprise analytics projects and strategy.
• Expertise in predictive modeling, ML, and AI-driven analytics.
• Ability to translate complex data into actionable business insights.

Responsibilities

• Develop and govern enterprise analytics strategies across programs.
• Lead design and implementation of advanced predictive and prescriptive models.
• Partner with executive leadership to align analytics with priorities.
• Oversee data architecture, governance, and multi-source data integration.
• Communicate findings clearly to senior stakeholders and drive decisions.

Skills

Healthcare analytics

Data science

Predictive modeling

Machine learning

AI-driven analytics

Education

Bachelor's degree in Data Science/Statistics/CS/Public Health

Master's or PhD in quantitative/healthcare discipline

Tools

Azure

AWS

Google Cloud

Job description

Job Details

• Job Posting Title: Principal Data Analyst


• Hiring Department: Department of Psychiatry


• Position Open To: All Applicants


• Weekly Scheduled Hours: 40


• FLSA Status: Exempt from FLSA


• Earliest Start Date: Sep 28, 2026


• Position Duration: Expected to Continue Until Aug 31, 2027


• Location: AUSTIN, TX

General Notes

Dell Medical School is seeking a Principal Dara Analyst This is a state funded position with an end date of August 31 th, 2027, renewable based on availability of funding, work performance, and progress toward goals.

Job Summary

The Principal Data Analyst is an advanced individual contributor recognized for deep expertise in healthcare analytics and data science, this role applies specialized knowledge and extensive experience to solve complex problems, lead enterprise-level projects, and influence strategic decisions. Serving as a subject matter expert, the Principal Data Analyst partners with executive leadership, governance committees, and key stakeholders to align analytics strategies with organizational priorities. This position provides expert guidance on advanced methodologies, emerging technologies, and best practices, driving innovation through predictive modeling, AI-driven analytics, and integration of complex data ecosystems. This role ensures analytics solutions deliver measurable impact across clinical, operational, and financial domains.

Essential Job Functions

• Enterprise Analytics Strategy Build and support data systems for TCSC programs, including TCHATT, CPAN Direct, autism and specialty care services.


• Serves as a subject matter expert in enterprise working groups, steering committees, and strategic planning efforts.


• Identify opportunities to measure patient outcomes, care coordination, service utilization, and program effectiveness across multiple systems.


• Some of the aspects of implementation will require the support and approval of outside public or community entities which may or may not come to fruition, in the event that they do not, consultation and/or education will become a critical component of the role.


• Develops and executes enterprise-wide analytics strategies aligned with organizational priorities.


• Leads design and implementation of advanced predictive and prescriptive models using machine learning and AI.


• Translates complex business challenges into scalable analytical frameworks.


• Advises senior leadership on strategic opportunities and risks informed by data-driven insights.


• Oversees initiatives that optimize population health, financial forecasting, and operational performance.


• Data Architecture and Governance Establishes and enforces enterprise data architecture standards and governance policies.


• Leads integration of multi-source data ecosystems, including clinical, research, financial, and external datasets.


• Designs scalable data pipelines and cloud-based solutions for advanced analytics and reporting.


• Implements robust security and compliance measures to protect data integrity and privacy.


• Defines and maintains standard work procedures for enterprise data stewardship.


• Innovation and Emerging Technologies Evaluates and implements cutting-edge technologies for automation, synthetic data generation, and AI-driven analytics.


• Pilots advanced tools for real-time analytics and decision support across clinical and operational domains.


• Champions innovation initiatives and fosters an environment of experimentation and continuous improvement.


• Identifies opportunities for leveraging automation and artificial intelligence to optimize workflows.


• Stays ahead of industry trends and introduces best practices for advanced analytics adoption.


• Enterprise Collaboration and Strategic Influence Serves as a trusted advisor to executive leadership and governance committees on analytics strategy.


• Design and implement a comprehensive data strategy supporting TCMHP, CPWE, TCSC, and LMHA initiatives.


• Facilitates enterprise-level data strategy sessions and requirements workshops.


• Builds consensus on data-driven decisions across stakeholder groups and departments.


• Communicates complex analytical findings in clear, actionable terms for senior leadership.


• Influences organizational policy and resource allocation through evidence-based recommendations.


• Knowledge Leadership and contributes to organizational analytics capability building.


• Leads enterprise analytics communities of practice and advanced training programs.


• Publishes scholarly work and represents the organization at national forums and conferences.


• Develops internal knowledge-sharing platforms and best practice repositories.


• Guides teams in adopting emerging methodologies and advanced technologies.

Marginal or Periodic Functions

• Leads vendor evaluations and proof of concepts (POCs) for advanced analytics platforms, AI tools, and data engineering solutions.


• Present enterprise analytics outcomes and methodologies at national conferences, professional societies, and internal executive forums.


• Conducts post implementation reviews and analytics audits to validate model performance, data quality, and control effectiveness.


• Adheres to internal controls and reporting structure.


• Performs related duties as required.

Strategic Agility

• Sees the big picture and future trends; connects analytics to long-term goals.


• Aligns analytics projects with organizational priorities and measurable outcomes.


• Anticipates regulatory and technology shifts and adjusts strategies proactively.


• Translates complex goals into actionable analytics roadmaps.

Decision Quality

• Makes timely, high-quality decisions using data and judgment.


• Selects modeling approaches balancing accuracy and feasibility.


• Establishes decision thresholds and monitoring plans to minimize risk.


• Escalates critical issues with clear options and recommendations.

Business Acumen

• Understands clinical, operational, and financial drivers; uses analytics to create value.


• Quantifies ROI of analytics solutions to guide prioritization.


• Integrates financial and clinical data to identify performance drivers.


• Tailors insights for executive and operational audiences.

Problem Solving

• Uses structured methods to solve complex problems and validate solutions.


• Dissects data quality issues and implements durable fixes.


• Designs experiments to validate model performance.


• Breaks down ambiguous requests into measurable questions.

Dealing with Ambiguity

• Adapts quickly when requirements or data change.


• Frames options and documents assumptions under uncertainty.


• Pivots analytic approaches when data availability shifts.


• Communicates interim findings to maintain alignment.

Influence

• Builds consensus and gains support through clear reasoning and relationships.


• Facilitates executive sessions to align on KPIs and standards.


• Crafts compelling narratives that translate analytics into decisions.


• Secures buy-in for governance and adoption across stakeholders.

Innovation Management

• Encourages new ideas and scales promising innovations.


• Pilots AI/ML and automation use cases with proper safeguards.


• Establishes POC criteria to accelerate learning and scale wins.


• Documents and shares best practices for repeatable success.

Education & Experience

• Requires a Bachelor's Degree in Data Science, Statistics, Computer Science, Public Health, or related field with at least 8 year(s) of experience in healthcare analytics or data science, including leadership of enterprise-level projects.


• Expertise in advanced analytics tools, cloud platforms and industry standards experience.


• Relevant education and experience may be substituted as appropriate.


• Master's Degree in a quantitative or healthcare-related discipline or Ph.D. in a quantitative or healthcare-related discipline with at least 10 year(s) of experience in a complex healthcare environment with demonstrated impact on organizational strategy.


• None


• Advanced Cloud Data Analytics Certification (Azure, AWS, Google) or equivalent.

Working Environment / Equipment

Standard office equipment. Repetitive use of a keyboard. May be exposed to such occupational hazards as communicable diseases, blood borne pathogens, ionizing and non-ionizing radiation, hazardous medications and disoriented or combative patients, or others.

Salary Range

SALARY RANGE $114,507+ depending on qualifications

Employment Eligibility

Regular staff who have been employed in their current position for the last six continuous months are eligible for openings being recruited for through University-Wide or Open Recruiting, to include both promotional opportunities and lateral transfers. Staff who are promotion/transfer eligible may apply for positions without supervisor approval.

Retirement Plan Eligibility

The retirement plan for this position is Teacher Retirement System of Texas (TRS), subject to the position being at least 20 hours per week and at least 135 days in length.

Background Checks

A criminal history background check will be required for finalist(s) under consideration for this position.

Equal Opportunity Employer

The University of Texas at Austin, as an equal opportunity/affirmative action employer, complies with all applicable federal and state laws regarding nondiscrimination and affirmative action. The University is committed to a policy of equal opportunity for all persons and does not discriminate on the basis of race, color, national origin, age, marital status, sex, sexual orientation, gender identity, gender expression, disability, religion, or veteran status in employment, educational programs and activities, and admissions.

Pay Transparency

The University of Texas at Austin will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.

Employment Eligibility Verification

If hired, you will be required to complete the federal Employment Eligibility Verification I-9 form. You will be required to present acceptable and original documents to prove your identity and authorization to work in the United States. Documents need to be presented no later than the third day of employment. Failure to do so will result in loss of employment at the university.

E-Verify

The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015. The university’s company ID number for purposes of E-Verify is 854197. For more information about E-Verify, please see the following: E-Verify Poster (English and Spanish) [PDF] Right to Work Poster (English) [PDF] Right to Work Poster (Spanish) [PDF]

Compliance

Employees may be required to report violations of law under Title IX and the Jeanne Clery Disclosure of Campus Security Policy and Crime Statistics Act (Clery Act) and under Title IX. If this position is identified a Campus Security Authority (Clery Act), you will be notified and provided resources for reporting. Responsible employees under Title IX are defined and outlined in HOP-3031. The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report. You may access the most recent report here or obtain a copy at University Compliance Services, 1616 Guadalupe Street, UTA 2.206, Austin, Texas 78701.

Culture & Community

Start Here, Change the World At The University of Texas at Austin, tradition meets innovation in the heart of a city that frequents lists of the best places to live and work. Named by Forbes as one of America's Best Large Employers for the sixth year in a row in 2025, UT offers both a dynamic work environment and a gateway to vibrant local culture. Whether you're at the forefront of the student experience, conducting world-changing research or supporting the engine that drives Texas’ flagship university, working at UT means making a lasting impact on our city, our state and our world. Our more than 20,000 faculty and staff empower 55,000+ students to challenge ideas, pursue passions and shape their futures. Joining UT, you’ll become part of a community dedicated to making a meaningful impact on campus and throughout the world.

Comments and Inquiries

Email comments to [e-mail]. For questions or concerns regarding equal opportunity only, contact Equal Opportunity Services. Additional information for applicants can be found on the Human Resources web page: Applying for Employment. For more job information, call the Human Resource Service Center at [phone], or toll-free at [phone]. UT Austin is a Tobacco-free Campus