Brandeis University

Aligning IT Strategy with Academic and Institutional Goals

To remain resilient, universities must elevate their view of IT from a support-driven department to a core strategic asset. Universities can’t meaningfully discuss their academic future, financial sustainability, student experience, or administrative effectiveness without technology leadership at the table.

IT leaders must align as co-architects of institutional strategy, mapping capabilities to the academic mission while mastering how emerging technologies support administrative needs. Solid IT governance is critical: executive-sponsored, driven by IT, and co-chaired by academic and administrative leaders. Yet good governance is measured by decision quality and implementation, not committee count. More than a discussion forum, governance establishes accountability, prioritizes institutional needs over departmental preferences, and creates clear execution processes. IT cannot make decisions in isolation; what seems minor to IT can feel massive to campus. Preventing this starts with governance, the decisions it produces and how outreach and engagement platforms are delivered. 

Strengthening Campus Relationships Through Outreach and Engagement

and Building User Trust Through Transparent Communication and Service

Higher education IT departments need complementing outreach and engagement strategies. Outreach is your boots-on-the-ground channel to educate the community, communicate changes, highlight opportunities, and deliver training. Going beyond email and social media, outreach powers monthly “TED Talks,” faculty meeting demos, cybersecurity campaigns, and change management delivery. Outreach, in a nutshell, creates awareness. Start early, remain transparent, and maintain a customer-service mindset.

Engagement, on the other hand, drives understanding & acceptance to build trust. Empower your academic liaisons and business relationship managers to partner with the community to uncover needs while speaking their languages of teaching, research, and administration. Engagement is your feedback loop; using listening tours, surveys, and in-person meetings to gather information that can help shape your strategy. Listen, understand your campus’ challenges, and deliver on your commitments. 

“Buying a tool is easy. Rethinking how work gets done and improving those workflows is hard.”

A simple strategy for both outreach and engagement is the occasional coffee or lunch with department heads. Outside formal office settings, people let their guard down and talk to you like a person rather than an unseen entity over an email or chat. To go further, consider starting a pop-up service center program, we call ours “IT Health Checks”. Tailor the program to the audience and bring it to their doorstep. You can collaborate with departments on a simple remote help desk for a day or a curated presentation on their topic of interest. Involving your back-of-house teams gives the community facetime with those they may only have ever met through email and also helps to reground staff in a customer-centric environment. This model has generated standing invitations for us to return every semester, and those types of face-to-face opportunities grow more critical as AI bots start handling more routine support requests. 

Integrating AI Through Governance, Security, and Responsible Innovation

Bridging into the topic of AI, institutions need to remember that integration isn't simply about deploying software; it requires balancing community needs (or sometimes their wants) with the university mission. Managing rapid adoption requires an AI governing body backed by executive leadership. Its charter should focus on human accountability, ethical use, accessibility, security, and institutional mission alignment. Organizational placement is secondary. What matters is an empowered mandate coupled with a formal risk-acceptance and standardized data security policies that enable responsible innovation over bureaucratic delay.

Safeguarding institutional data requires clear guardrails rather than blanket prohibition. Universities must establish explicit data classification standards so faculty and staff know what information can safely interact with AI tools. Deploying enterprise platforms with commercial contracts protects research, student records, operational data, and maintains compliance, all while fostering innovation. Promoting AI fluency helps to teach the community that tools alone do not create transformation. Buying a tool is easy. Rethinking how work gets done and improving those workflows is hard. Help departments evaluate how they do work and understand what opportunities there are before selecting technical solutions. Rely on your engagement platform to learn what the landscape is and your governing platforms to establish the operational discipline you need. 

Prioritizing Data Governance, Cybersecurity, and Operational Efficiency

Looking ahead, higher education IT departments must focus on a few key areas to become the indispensable strategic partner that their institution needs.

• Universities need reliable and accessible data to guide financial, academic, and operational decisions. It doesn’t matter if you are talking about a new AI investment, consolidating existing platforms, or even deprecating a service. IT departments can’t just be stewards or trustees of data. They need to be a strategic partner in the development (or revisioning) of the Data Governance structure itself, while also having a solid reporting structure in place to help drive university decisions. 

• Cybersecurity remains a high priority to safeguard institutional data and protect research. As institutions begin investing in AI, the IT Security team should be at the forefront of engagement initiatives aimed at educating the community on the data they are accessing and where it is being used.

• Financial pressures require eliminating duplication and simplifying workflows before introducing new technologies. Technology advancements (such as AI) become effective only when paired with genuine process transformation. There is value in the expertise IT teams have in managing and supporting the technical product portfolios. There is greater value in knowing how those portfolios are used by the community and where operational efficiencies or cost savings can be gained.

Technology evolves fast. The real test is higher education’s ability to evolve with it. Success depends on our willingness to challenge established practices and rethink how universities operate.