Principal Data Analyst

utaustin; Austin (TX); On-site; USD 130,000 - 165,000; Full time

Job summary

Dell Medical School in Austin, TX seeks a Principal Data Analyst to join the Department of Psychiatry. This senior individual contributor lies at the intersection of healthcare analytics, data science, and strategic impact.

You will partner with executive leadership, lead enterprise analytics projects, and guide advanced modeling, data architecture, and governance to improve clinical, operational, and financial outcomes.

Qualifications

• Expert in healthcare analytics and data science.
• Experience solving complex problems and leading enterprise projects.
• Ability to influence executives and stakeholders.

Responsibilities

• Build and support data systems for TCSC programs, including TCHATT, CPAN Direct, autism and specialty care services.
• Lead advanced predictive and prescriptive models using machine learning and AI.
• Translate complex business challenges into scalable analytical frameworks.
• Advise senior leadership on data-driven opportunities and risks.
• Oversee initiatives optimizing population health, financial forecasting, and operational performance.

Skills

Healthcare analytics

Data science

Stakeholder communication

Education

MS/PhD in a relevant field

Tools

Python

SQL

Cloud platforms

Job description

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

Job Details

GENERAL NOTES

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.

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.

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

Conducts post implementation reviews and analyti