Executive Director of Data Analytics-Hybrid

UC San Diego values and welcomes people from all backgrounds. If you are interested in being part of our team, possess the needed licensure and certifications, and feel that you have most of the qualifications and/or transferable skills for a job opening, we strongly encourage you to apply.

DESCRIPTION

Do you see data not just as information, but as a catalyst for transformation? At UC San Diego, we're seeking a visionary Executive Director of Data Analytics to architect and lead a dynamic enterprise-wide analytics strategy that turns insights into action and accelerates our mission.

As the strategic driver of a unified Data Analytics (DA) VC-CFO organization, you will:

• Shape the campus-wide data vision – establish governance, create standards, and align business intelligence across departments.
• Break down silos – integrate and inspire BI professionals in a collaborative model that serves high-priority campus needs.
• Champion self-service analytics – deliver certified dashboards, intuitive tools, and training to empower decision-makers at every level.
• Advance innovation – bring the latest analytics methodologies and visualization tech to the forefront of our operations.
• Influence leadership – provide actionable insights that shape executive and strategic planning.

This is a mission-critical opportunity to build a truly data-driven culture across one of the nation's leading research universities. Your work will streamline operations, enable strategic growth, and equip UC San Diego's leaders with the information they need to make confident, future-focused decisions.

WE'RE LOOKING FOR:

• A strategic thinker & change agent with deep experience in enterprise analytics and data governance.
• A collaborative leader who thrives in complex, cross-functional environments.
• A data storyteller—someone who turns complex metrics into clear narratives and actionable strategies.

WHY UC SAN DIEGO?

Be part of a top-ranked public university known for innovation, excellence, and impact. Here, your work will shape not only operational success but also the future of higher education data practices.

QUALIFICATIONS

• Bachelor's degree in related area and / or equivalent experience / training.
• Thorough knowledge of business intelligence operations, principles, policies, methodologies, and architecture.
• Advanced leadership, relationship building, influencing and negotiation skills, including the ability to work effectively across all levels of management and staff.
• Advanced interpersonal, verbal and written communication to convey complex information clearly and concisely to senior leaders, managers and staff.
• Advanced leadership skills, with the ability to create and maintain a climate of collaboration and trust.
• Excellent analytical and conceptual thinking ability to analyze complex problems then formulate and apply effective solutions.
• Ability to organize operations, manage resources and drive efficiencies.
• Demonstrated experience in and the ability to identify and organize appropriate groups of individuals to partner in recognizing and articulating problems and in designing and recommending effective solutions.
• Advanced ability to motivate, influence and persuade.
• Advanced knowledge of principles of database management including but not limited to timers, triggers, data validation and append processes, security, access protocols and database integrity.
• Advanced analytical, statistical analysis, and presentation skills for participation in strategic planning and technical meetings with participants ranging from frontline staff to senior leadership.

Preferred:

• Advanced degree in Data Analytics, Data Science, Econometrics, Statistics, or equivalent combination of education and experience, preferably in an academic environment.

SPECIAL CONDITIONS

• Job offer is contingent upon satisfactory clearance based on Background Check results.
• Occasional evenings and weekends may be required.

Contract: Project duration until February 2029 (approximately 3 years) / full time
Location: Hybrid - This position will work a hybrid schedule three days on-site at Campus and remote.

Application Deadline: Extended Deadline: Wed 1/7/2026
Initial application review date is 12/12/2025.