WHY UT SOUTHWESTERN?
With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is committed to excellence, innovation, teamwork, and compassion. As a world-renowned medical and research center, we strive to provide the best possible care, resources, and benefits for our valued employees. Ranked as the number 1 hospital in Dallas-Fort Worth according to U.S. News & World Report, we invest in you with opportunities for career growth and development to align with your future goals. Our highly competitive benefits package offers healthcare, PTO and paid holidays, on-site childcare, wage, merit increases and so much more. We invite you to be a part of the UT Southwestern team where you’ll discover a culture of teamwork, professionalism, and a rewarding career!

JOB SUMMARY
The Associate Vice President for Strategic Intelligence and Advanced Analytics will oversee the development of the enterprise strategy and growth analytics. This person will be responsible for strategic intelligence, strategic performance, and advanced analytics, including machine learning and artificial intelligence. This role synthesizes complex data to generate transformative insights, identify emerging trends, and optimize strategic initiatives that strengthen the Health System’s competitive positioning and long-term growth. It also drives the continuous evolution of analytical frameworks and modeling efforts, refining methodologies to enhance predictive capabilities, improve decision-making, and unlock new opportunities for innovation and efficiency.

BENEFITS
UT Southwestern is proud to offer a competitive and comprehensive benefits package to eligible employees. Our benefits are designed to support your overall wellbeing, and include:

• PPO medical plan, available day one at no cost for full-time employee-only coverage
• 100% coverage for preventive healthcare-no copay
• Paid Time Off, available day one
• Retirement Programs through the Teacher Retirement System of Texas (TRS)
• Paid Parental Leave Benefit
• Wellness programs
• Tuition Reimbursement
• Public Service Loan Forgiveness (PSLF) Qualified Employer
• Learn more about these and other UTSW employee benefits!

EXPERIENCE AND EDUCATION
Required

• Education
  Bachelor’s Degree in business, accounting, computer science, or related field

• Experience
  5 years of related leadership experience within healthcare strategy or growth analytics functions
  Strong analytical and communication skills
  Familiarity with data analytics, machine learning, and AI-driven insights

Preferred

• Education
  MBA/MHA or related advanced degree

• Experience
  7 years of related leadership experience
  Experience with advanced analytics, including predictive modeling
  Proficiency with Python and SQL; familiarity with BI and visualization tools (Power BI, Tableau)
  Understanding of key analytics and ML libraries (scikit-learn, TensorFlow, PyTorch, LangChain, Matplotlib, Pandas, etc.)
  Experience with cloud-based analytics and big data platforms (Azure, Databricks, Snowflake)

JOB DUTIES

• Lead initiatives to consolidate and integrate various internal and external strategic data assets ensuring data integrity, accessibility, and usability across the health system to support enterprise-wide decision-making.
• Oversee the collection, analysis, and interpretation of healthcare data to drive strategic insights and performance improvements.
• Develop and leverage analytic models to assess the value of services, competitive positioning, and alignment with organizational goals and market dynamics.
• Create models that leverage publicly available data to understand the external market.
• Develop in-depth analytics at the service line level to evaluate performance, identify opportunities for improvement, and support strategic decision-making.
• Synthesize data to develop insights informing service line development and enhancement strategies.
• Lead, mentor, and develop a high-performing team of analysts and data scientists by fostering a culture of innovation and excellence.
• Develop and implement a comprehensive strategic intelligence framework in support of UT Southwestern‿s clinical destination that consistently provides forward-looking strategic intelligence used to inform and guide decision-making.
• Oversee the design and execution of advanced analytics projects, including predictive modeling, machine learning applications, and data visualization initiatives that provide actionable insights.
• Develop an analytical approach that supports UT Southwestern‿s positioning in the market for pediatrics and adults.
• Provide leadership in the development of self-service tools for users that maximize their ability to use the system capabilities.
• Lead the development and execution of the Strategic Analytics function to support strategic decisions.
• Oversee the building of growth analytics data and reporting infrastructure to include market planning, market share, demographics, and other growth-related content.
• Collaborate and coordinate with enterprise vendors on the acquisition, analysis, and presentation of applicable data assets related to strategy, growth, and the integration of these assets into analytic tools.
• Performs other duties as assigned

SECURITY AND EEO STATEMENT
Security
This position is security-sensitive and subject to Texas Education Code 51.215, which authorizes UT Southwestern to obtain criminal history record information. To the extent this position requires the holder to research, work on, or have access to critical infrastructure as defined in Section 113.001(2) of the Texas Business and Commerce Code, the ability to maintain the security or integrity of the critical infrastructure is a minimum qualification to be hired and to continue to be employed in the position.

EEO Statement
UT Southwestern Medical Center is committed to an educational and working environment that provides equal opportunity to all members of the University community. As an equal opportunity employer, UT Southwestern prohibits unlawful discrimination, including discrimination on the basis of race, color, religion, national origin, sex, sexual orientation, gender identity, gender expression, age, disability, genetic information, citizenship status, or veteran status.