Deputy Chief Information Officer​/Assistant Vice President for Data, Applications, and Web Platforms

Job Description:

Empire State University invites applications for the position of Deputy Chief Information Officer / Assistant Vice President for Data, Applications, and Web Platforms within the Office of Integrated Technologies (ITS).

This senior leadership role reports directly to the Chief Information Officer / Vice President for Integrated Technologies (CIO) and serves as a key member of the ITS executive team. The Deputy CIO / AVP provides strategic, operational, and tactical leadership for the university's enterprise data, applications, and web and digital experience services. This role ensures that technology and data are leveraged as strategic assets to support the university's academic mission, student success priorities, and online-first operating model.

The Deputy CIO / AVP is responsible for translating institutional and ITS strategy into coherent, scalable, and secure data and technology services. This role oversees the day-to-day operations of data platforms, application development, enterprise systems, and web services while advancing long-term modernization, integration, and governance initiatives across the university. The Deputy CIO / AVP will also support the oversight, evaluation, and ongoing refinement of institutional policies and procedures, ensuring compliance with SUNY, New York State, and applicable federal regulations.

Role Summary

The Deputy CIO and AVP leads the planning, delivery, and continuous improvement of Empire State University's digital and data ecosystem. This includes enterprise data platforms, data warehouse and analytics environments, administrative and academic applications, system integrations, reporting platforms, and public-facing web services.

This role provides enterprise leadership in advancing data strategy, governance, and analytics in partnership with institutional stakeholders. The Deputy CIO / AVP plays a key role in translating the university's data strategy and governance frameworks into operational capabilities, ensuring that institutional data is accessible, reliable, and effectively used to support decision-making, integrations, and institutional priorities.

The role emphasizes service reliability, user-centered design, data stewardship, accessibility, cybersecurity, and data-informed decision-making in support of a diverse, distributed, and adult learner population.

Working in close partnership with ITS leadership, academic and administrative units, and SUNY system peers, the Deputy CIO / AVP ensures that data and technology services are aligned, well-governed, and responsive to evolving institutional needs.

In the absence of the CIO, this role may serve as acting CIO and represent ITS in executive-level decision making.

Key Responsibilities

Strategic and Executive Leadership

• Serve as a senior technology and data leader within ITS, contributing to university-wide strategy, planning, and governance.
• Act on behalf of the CIO when designated, providing continuity of leadership and operational oversight.
• Translate institutional and CIO priorities into actionable strategies for data, applications, and digital platforms.
• Balance short-term operational needs with long-term modernization, sustainability, and data maturity goals.
• Ensure alignment with university strategic priorities, including student success, academic excellence, equity, and organizational effectiveness.
• Promote shared ownership, transparency, and accountability across ITS and institutional partners.

Data Strategy, Architecture, and Analytics

• Partner with institutional leadership and governance bodies to advance and operationalize the university's data strategy.
• Support and help mature data governance frameworks, including data ownership, stewardship, quality standards, and lifecycle management.
• Translate governance policies and strategic priorities into scalable data architecture, platforms, and processes.
• Provide operational leadership for the university's data warehouse, data architecture, and data engineering environments.
• Ensure the availability of reliable, well-modeled, and accessible data to support reporting, analytics, and operational decision-making.
• Promote a culture of data-informed…