Principal Data Analyst

University of Texas at Austin•Austin, TX

2d•$114,507•Onsite

About The Position

Dell Medical School's Department of Psychiatry is seeking a Principal Data Analyst, an advanced individual contributor with deep expertise in healthcare analytics and data science. The role applies specialized knowledge to complex problems, leads enterprise-level projects, and influences strategic decisions. As a subject matter expert, the analyst partners with executive leadership, governance committees, and stakeholders to align analytics strategies with organizational priorities. The position guides advanced methodologies, emerging technologies, and best practices, and drives predictive modeling, AI-driven analytics, and integration of complex data ecosystems to deliver measurable clinical, operational, and financial impact. The role builds and supports data systems for TCSC programs, including TCHATT, CPAN Direct, autism, and specialty care services. It develops enterprise analytics strategy, integrates clinical, research, financial, and external data, establishes architecture and governance standards, and advances analytics innovation. The analyst advises leadership, facilitates collaboration across stakeholders, builds organizational analytics capability, and supports initiatives spanning TCMHP, CPWE, TCSC, and LMHA. Some implementation work depends on support and approval from outside public or community entities; if approval does not occur, consultation and education may become critical components of the role. This is a state-funded position expected to continue until August 31, 2027, and is renewable depending on funding availability, work performance, and progress toward goals. The position is based in Austin, Texas, has 40 scheduled hours per week, and offers a salary of $114,507 or more depending on qualifications. Standard office equipment is used. The work may involve repetitive keyboard use and potential exposure to communicable diseases, blood-borne pathogens, radiation, hazardous medications, or disoriented or combative patients.

Requirements

Bachelor's degree in Data Science, Statistics, Computer Science, Public Health, or a related field.
At least 8 years of experience in healthcare analytics or data science, including leadership of enterprise-level projects.
Expertise in advanced analytics tools, cloud platforms, and industry standards.
Relevant education and experience may be substituted as appropriate.

Nice To Haves

Master's degree or Ph.D. in a quantitative or healthcare-related discipline.
At least 10 years of experience in a complex healthcare environment with demonstrated impact on organizational strategy.
Advanced Cloud Data Analytics Certification (Azure, AWS, Google) or equivalent.

Responsibilities

Build and support data systems for TCSC programs, including TCHATT, CPAN Direct, autism, and specialty care services.
Serve as a subject matter expert in enterprise working groups, steering committees, and strategic planning.
Identify opportunities to measure patient outcomes, care coordination, service utilization, and program effectiveness across multiple systems.
Develop and execute enterprise-wide analytics strategies aligned with organizational priorities.
Lead the design and implementation of advanced predictive and prescriptive models using machine learning and AI.
Translate complex business challenges into scalable analytical frameworks.
Advise senior leadership on strategic opportunities and risks using data-driven insights.
Oversee initiatives that optimize population health, financial forecasting, and operational performance.
Establish and enforce enterprise data architecture standards and governance policies.
Lead integration of clinical, research, financial, and external data ecosystems.
Design scalable data pipelines and cloud-based solutions for advanced analytics and reporting.
Implement security and compliance measures to protect data integrity and privacy.
Define and maintain standard work procedures for enterprise data stewardship.
Evaluate and implement technologies for automation, synthetic data generation, and AI-driven analytics.
Pilot advanced tools for real-time analytics and decision support across clinical and operational domains.
Champion innovation and continuous improvement, including identifying opportunities to use automation and AI to optimize workflows.
Serve 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.
Facilitate enterprise-level data strategy sessions and requirements workshops.
Build consensus on data-driven decisions across stakeholder groups and departments.
Communicate complex analytical findings clearly and actionably to senior leadership.
Influence organizational policy and resource allocation through evidence-based recommendations.
Lead enterprise analytics communities of practice and advanced training programs.
Publish scholarly work and represent the organization at national forums and conferences.
Develop internal knowledge-sharing platforms and best-practice repositories.
Guide teams in adopting emerging methodologies and advanced technologies.
Lead vendor evaluations and proofs of concept for analytics platforms, AI tools, and data engineering solutions.
Present enterprise analytics outcomes and methodologies at national conferences, professional societies, and internal executive forums.
Conduct post-implementation reviews and analytics audits to validate model performance, data quality, and control effectiveness.
Adhere to internal controls and reporting structure, and perform related duties as required.