Job Posting Title:
Principal Data Analyst
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Hiring Department:
Department of Psychiatry
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Position Open To:
All Applicants
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Weekly Scheduled Hours:
40
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FLSA Status:
Exempt from FLSA
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Earliest Start Date:
Immediately
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Position Duration:
Expected to Continue Until Aug 31, 2027
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Location:
AUSTIN, TX
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Job Details:
GENERAL NOTES
Dell Medical School is seeking a Principal Dara Analyst.
This is a state funded position with an end date of August 31, 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.
- Presents 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.
KNOWLEDGE/SKILLS/ABILITIES
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
MINIMUM QUALIFICATIONS:
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
PREFERRED QUALIFICATIONS:
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.
LICENSES, REGISTRATIONS OR CERTIFICATIONS
REQUIRED:
PREFERRED:
- 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
$114,507+ depending on qualifications
Required Materials
- Resume/CV
- 3 work references with their contact information; at least one reference should be from a supervisor
- Letter of interest
Important for applicants who are NOT current university employees or contingent workers: You will be prompted to submit your resume the first time you apply, then you will be provided an option to upload a new Resume for subsequent applications. Any additional Required Materials (letter of interest, references, etc.) will be uploaded in the Application Questions section; you will be able to multi-select additional files. Before submitting your online job application, ensure that ALL Required Materials have been uploaded. Once your job application has been submitted, you cannot make changes.
Important for Current university employees and contingent workers: As a current university employee or contingent worker, you MUST apply within Workday by searching for Find UT Jobs. If you are a current University employee, log-in to Workday, navigate to your Worker Profile, click the Career link in the left hand navigation menu and then update the sections in your Professional Profile before you apply. This information will be pulled in to your application. The application is one page and you will be prompted to upload your resume. In addition, you must respond to the application questions presented to upload any additional Required Materials (letter of interest, references, etc.) that were noted above.
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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.
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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.
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Background Checks:
A criminal history background check will be required for finalist(s) under consideration for this position.
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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.
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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.
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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.
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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:
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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). 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.