Associate Vice President, Chief Academic Office Administration

REQUIREMENTS


Education: Master's Degree in a related field could also be suitable, especially for those with substantial experience in data management, analytics, or academic administration:

• Master of Science (MS) in Data Science, Information Systems, or Analytics and/or Master of Business Administration (MBA)

 

Preferred Education: Doctoral Degree (Ph.D.) in a relevant field, such as:

• Data Science

• Business Administration (MBA) with a focus on analytics or technology

• Public Health or Health Administration (for roles in academic medical centers)

• Computer Science or Information Technology (with a focus on data management or analytics)

 

Certification

Preferred Certification:

1. Certified Analytics Professional (CAP)

• A globally recognized certification for professionals working in the analytics field, emphasizing the ability to derive actionable insights and align analytics with strategic goals.

2. Certified Data Management Professional (CDMP)

• Ideal for those managing complex datasets, including faculty, research, and institutional databases, with a focus on data governance and strategic application.

3. Tableau Desktop Specialist or Certified Associate

• Relevant for creating advanced dashboards and data visualization solutions, crucial for strategic decision-making and communication with stakeholders.

4. Six Sigma Certification (Green Belt, Black Belt)

• Demonstrates expertise in process improvement and optimization, critical for driving innovation and efficiency in academic and institutional settings.

5. Project Management Professional (PMP)

• Validates the ability to manage complex projects, integrate strategic initiatives, and lead cross-functional teams effectively within academic and research environments.

6. Certified ScrumMaster (CSM) or Agile Certified Practitioner (PMI-ACP) (Optional Addition)

• Reflects expertise in Agile project management methodologies, supporting the development of innovative solutions and adaptability in dynamic academic settings.

7. Leadership or Strategic Management Certifications (Optional Addition)

• Examples: Strategic Management Professional (SMP) or Institute of Leadership & Management (ILM)certifications, which emphasize leadership and strategic planning in organizational contexts.

8. Data Science or Advanced Analytics Certifications (Optional Addition)

• Examples: Google Data Analytics Certification, AWS Certified Data Analytics, or Microsoft Certified: Data Analyst Associate, to highlight expertise in cutting-edge analytics and data technologies.

 

Other Skills and Qualifications:

• Expertise in data management, analytics software (e.g., SQL, Python, R, Tableau, Power BI), and academic enterprise systems (e.g., Learning Management Systems, Research Information Management Systems).

• Strong background in academic administration, including understanding the dynamics of faculty workflows, research environments, and clinical productivity.

Experience: 7-10 years of progressive leadership experience is required. This experience should ideally include:


1. Leadership in Academic or Research Settings

• Demonstrated success in leading teams or departments within academic, research operations, or clinical environments, with a focus on fostering innovation, collaboration, and excellence.

• Experience driving institutional or departmental initiatives that align with strategic goals and advance academic, research, or clinical missions.

 

2. Management of Data and Analytics Functions

• Proven ability to lead complex data analytics and software development projects, ensuring alignment with institutional objectives and promoting efficiency and impact.

• Experience implementing cutting-edge technologies and tools to optimize data visualization, reporting, and decision-making processes.

• Deep understanding of how data-driven initiatives can enhance academic performance, research productivity, and clinical outcomes.

 

3. Cross-Functional Leadership

• Adept at collaborating with a varied range of stakeholders, including faculty, academic leaders, research teams, and administrative staff, to achieve shared objectives.

• Proven ability to bridge the gap between technical and non-technical teams, fostering a common understanding of analytics’ strategic value.

• Skilled at promoting cross-departmental synergy to drive innovation and institutional success.

 

4.  Leadership Experience

• Extensive experience in direct oversight of personnel, with a focus on mentoring, development, and performance enhancement.

• Ability to build high-performing teams, cultivate talent, and align individual and team efforts with institutional priorities.

 

5. Strategic Planning and Implementation

• Demonstrated expertise in developing, articulating, and executing strategic plans that leverage data and analytics to improve institutional performance.

• Experience integrating analytics initiatives into broader organizational strategies, ensuring their relevance and sustainability.

• Skilled at setting measurable goals and using data to evaluate progress and adapt strategies as needed.

 

6. Change Management

• Proven success in leading and managing organizational change, with an emphasis on integrating new technologies, data systems, or analytics programs seamlessly into existing structures.

• Experience fostering a culture of adaptability and innovation during transitions, ensuring stakeholder engagement and long-term adoption of new processes.

• Skilled at identifying potential barriers to change and implementing strategies to address resistance and promote buy-in.

 

7. Innovation and Continuous Improvement

• Strong track record of introducing innovative tools, processes, and practices that advance institutional goals and operational efficiency.

• Commitment to continuous improvement, using data and analytics to identify opportunities for enhancement and drive impactful changes.

• Experience staying at the forefront of emerging trends and technologies, ensuring that institutional practices remain competitive and effective.

Onsite Presence: Hybrid

It is the policy of The University of Texas MD Anderson Cancer Center to provide equal employment opportunity without regard to race, color, religion, age, national origin, sex, gender, sexual orientation, gender identity/expression, disability, protected veteran status, genetic information, or any other basis protected by institutional policy or by federal, state or local laws unless such distinction is required by law. http://www.mdanderson.org/about-us/legal-and-policy/legal-statements/eeo-affirmative-action.html