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About the Role

The Principal Data Analyst is an advanced individual contributor recognized for deep expertise in healthcare analytics and data science. This role applies specialized knowledge 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.

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 efforts.
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 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 informed by 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 multi-source data ecosystems, including clinical, research, financial, and external datasets.
Design scalable data pipelines and cloud-based solutions for advanced analytics and reporting.
Implement robust security and compliance measures to protect data integrity and privacy.
Define and maintain standard work procedures for enterprise data stewardship.
Evaluate and implement cutting-edge 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 initiatives and foster an environment of experimentation and continuous improvement.
Identify opportunities for leveraging automation and artificial intelligence to optimize workflows.
Stay ahead of industry trends and introduce best practices for advanced analytics adoption.
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 in clear, actionable terms for senior leadership.
Influence organizational policy and resource allocation through evidence-based recommendations.
Contribute to organizational analytics capability building.
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 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.
Conduct post implementation reviews and analytics audits to validate model performance, data quality, and control effectiveness.
Adhere to internal controls and reporting structure.
Perform related duties as required.

Requirements

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.
Advanced Cloud Data Analytics Certification (Azure, AWS, Google) or equivalent.
Resume/CV
3 work references with their contact information; at least one reference should be from a supervisor
Letter of interest
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.

Skills

Strategic Agility
Decision Quality
Business Acumen
Problem Solving
Dealing with Ambiguity
Influence
Innovation Management
Advanced analytics tools
Cloud platforms
Industry standards
Predictive modeling
AI-driven analytics
Machine learning
Data architecture
Data governance
Data pipelines
Cloud-based solutions
Automation
Synthetic data generation
Real-time analytics
Decision support

Location

AUSTIN, TX

Work Type

Full-time
Onsite

Experience Level

8+ years of experience in healthcare analytics or data science
10+ years of experience in a complex healthcare environment

Education Level

Bachelor's Degree in Data Science, Statistics, Computer Science, Public Health, or related field
Master's Degree in a quantitative or healthcare-related discipline
Ph.D. in a quantitative or healthcare-related discipline

Salary/Compensations

$114,507+

Benefits

Teacher Retirement System of Texas (TRS)

About the Company

Dell Medical School is seeking a Principal Dara Analyst
This is a state-funded position with an end date of 08/31/27, renewable based on funding and work performance.
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.
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.
The University of Texas at Austin use E-Verify to check the work authorization of all new hires effective May 2015.
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).
The Clery Act requires all prospective employees be notified of the availability of the Annual Security and Fire Safety report.

Equal Opportunity

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.