Director of Faculty Operations Analytics

5 days ago

Salt Lake, Utah, United States Western Governors University Full time
Job Summary

We are seeking a highly skilled and experienced Director of Faculty Operations Analytics to join our team at Western Governors University. This is a full-time, regular position that is eligible for bonuses, medical, dental, vision, telehealth, and mental healthcare benefits.

Key Responsibilities
  • Lead the design, development, and management of a robust reporting ecosystem to support equitable student outcomes and advance university objectives.
  • Oversee the production and distribution of high-impact reports for internal and external stakeholders, including executive summaries, infographics, and research articles.
  • Collaborate closely with analytics teams and university leadership to deliver actionable insights and ensure alignment of reporting systems with strategic goals.
  • Design and manage initiatives in partnership with stakeholders to evaluate performance against WGU's Key Results: Completion, Equity, and Return.
  • Provide strategic leadership in managing university-wide enterprise reporting platforms such as Tableau and Power BI.
  • Partner with People Development and faculty leadership to facilitate Power BI training and user support.
  • Regularly update university leaders on the progress of reporting initiatives.
  • Collaborate with Product Managers to design data integration strategies for systems used by Instructors, Mentors, faculty leaders, and ancillary users.
  • Oversee analysts working on data integration projects, ensuring alignment with Product, Data Architecture, and Data Engineering teams.
  • Oversee data quality reviews, coordinating with Data Engineering team to monitor and resolve any issues, ensuring high standards for all relevant work.
  • Lead the design, execution, and analysis of faculty-related surveys and focus groups tied to new initiatives and product implementations.
  • Collaborate with teams conducting student surveys and focus groups to integrate findings into the evaluation of team-led projects and services.
  • Represent WGU at conferences, professional organizations, and in higher education forums, enhancing the university's reputation and influence.
  • Provide data-driven insights and strategic recommendations during executive-level meetings to support university-wide planning and decision-making.
  • Engage with key stakeholders to identify and address data needs, ensuring alignment with departmental goals and broader university initiatives.
  • Partner with Academic Delivery and Mentoring divisions to develop faculty performance metrics.
  • Facilitate workshops, training sessions, and presentations to promote data literacy and the effective use of research across the university.
  • Stay at the forefront of emerging trends, technologies, and best practices in AI and data analytics, ensuring that WGU's data analytics activities are innovative and aligned with industry standards.
  • Implement continuous improvement processes, ensuring that data management, reporting, and research practices remain efficient, effective, and relevant.
  • Bring external industry insights into the organization, leveraging this knowledge to inform and enhance WGU's institutional research practices and strategic initiatives.
  • Provide visionary leadership and mentorship to the team, fostering a culture of collaboration, professional growth, and high performance.
  • Lead recruitment and talent management efforts, ensuring the department attracts and retains top talent with a diverse range of skills and perspectives.
  • Collaborate with university leadership to define and articulate the strategic vision for the team, ensuring alignment with the university's long-term goals.
  • Lead the development and implementation of strategic plans for the department, setting clear objectives and timelines for both short-term and long-term initiatives.
  • Ensure effective budget utilization, implementing cost-saving measures without compromising the quality of research and reporting activities.
  • Identify and mitigate risks associated with data management, research activities, and regulatory compliance, ensuring all research adheres to ethical standards and institutional policies.
Qualifications
  • Expertise in data analytics, including in-depth understanding of institutional research methodologies, data analysis, and reporting practices in higher education settings.
  • Knowledge of AI solution development, including large language models, machine learning applications, and natural language processing.
  • Familiarity with data architecture processes to facilitate data integration to meet related needs for analytics and other uses of integrated data.
  • Expertise in product management procedures and practices.
  • Knowledge of the decision intelligence paradigm and related systems.
  • Familiarity with federal, state, and local laws and regulations governing research involving human subjects, as well as accreditation standards and compliance requirements.
  • Proficiency in data governance, management practices, and tools for sourcing, compiling, and reporting institutional metrics.
  • Strong analytical and problem-solving abilities to interpret complex data sets and generate actionable insights for institutional improvement.
  • Excellent verbal and written communication skills, with the ability to convey complex information clearly to diverse audiences, including senior leadership, stakeholders, and external agencies.
  • Strong organizational and project management skills, with the ability to lead multiple initiatives simultaneously and meet deadlines.
  • Ability to foster effective working relationships across various departments and with external organizations to promote data-informed decision-making.
Education and Experience
  • Master's degree in social science, computer science, information technology, management information systems, statistics, business, or higher education administration, or a related field with coursework in statistics and research methods or equivalent experience.
  • Minimum of 10 years of experience in relevant research and data analytics, with at least 5 years in a leadership or supervisory role.
  • Business Intelligence (BI) and Data Tools Proficiency: Expert knowledge in business intelligence, including experience with reporting tools, data warehousing, and ETL processes. Proficiency in BI platforms such as Tableau, Power BI, or similar is essential.
  • Experience in budget management and resource allocation for research initiatives and departmental operations.
  • Proven track record of at least 3 years of experience in managing and mentoring other managers, demonstrating strong leadership and team-building skills.
  • Proven expertise in leading change management initiatives, particularly within data systems or institutional processes.

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