The strongest initiatives begin with the questions the division needs to answer, not with technology or an inventory of available data. Executives clarify why the capability matters and which institutional decisions it should improve.

Executive responsibilities:

• Connect the initiative to divisional and institutional priorities.
• Identify a small number of consequential questions that disconnected data cannot currently answer.
• Define the value leaders expect: better decisions, stronger improvement, clearer impact, greater efficiency, or a combination of these.
• Establish realistic expectations that this is a multiyear organizational capability—not a one-time technology project.

Clarifying Questions:

• Institutional need: What consequential question can we not answer today?
• Decision value: What decision would improve if we had better integrated evidence?
• Initial scope: Where could a focused first use case demonstrate meaningful value?
• Definition of success: What would leaders be able to understand or do differently?

Build the Coalition:

No single office has all the expertise, authority, or data required to make a data lake successful. Executives bring the right partners together, creating shared ownership while maintaining clear roles. Student Affairs brings strategic questions and program expertise, IT provides technical infrastructure and integration, institutional research and data stewards provide data context and governance, and department leaders connect insights to practice and improvement.

EXECUTIVE ACTION: Convene the right partners early, establish a shared purpose, and create shared ownership of the work. This is an institutional partnership, not one office building a product for another.

Integrated access increases both opportunity and responsibility. Executives do not need to write every procedure, but they must authorize a governance structure with clear decision rights, safeguards, and accountability.

Governance Decisions Leaders Should Expect

• Stewardship: Who is responsible for each source and definition?
• Access: Who may access which data, for what purpose, and for how long?
• Validation: How will integrated data be confirmed as fit for analysis?
• Appropriate use: Which questions and analyses serve a legitimate institutional purpose?
• Review and dissemination: How will findings be reviewed before broader communication?
• Accountability: How will concerns, misuse, or changing roles be addressed?

Capacity Behind the Technology

Making data accessible is not the same as making it analysis-ready. Sustainable use requires capacity for data validation, documentation, research design, analysis, interpretation, visualization, storytelling, consultation, and continuous maintenance.

• Assign clear ownership for the ongoing work—not only the implementation project.
• Protect staff time for validation, documentation, and relationship-building that may be invisible to end users.
• Match expectations for dashboards, research, and decision support to available analytical capacity.
• Plan for growth: early success often creates demand faster than staffing and infrastructure can expand.

LEADERSHIP RISK:  Underinvesting in analytical capacity can produce an integrated environment that technically exists but cannot reliably answer questions, support leaders, or keep pace with demand.

Executive sponsorship remains essential after the infrastructure is built. A data lake creates institutional value only when leaders ask better questions, use findings responsibly, support improvement, and communicate what was learned.

Executive Ownership Across the Journey

Executive leadership is essential at every stage of the data journey. The role evolves from setting direction and authorizing the work to protecting the investment, creating expectations for use, and strengthening capacity for growth.

• EXPLORE | Frame the purpose
  Name the questions, decisions, partners, and value proposition.
• DESIGN | Authorize the model
  Confirm governance, roles, scope, resources, and decision rights.
• BUILD | Protect the work
  Remove barriers, sustain partnership, and support validation and documentation.
• USE | Create expectations 
  Ask for evidence, support interpretation, and connect findings to decisions.
• SCALE | Strengthen capacity
  Prioritize demand, invest in sustainability, and expand deliberately.

The executive owns the purpose, priorities, and direction of the initiative, providing sponsorship and alignment across the institution. They establish governance authority and accountability, make resource commitments and tradeoffs, and set clear expectations for how evidence will inform decisions.

Experts lead the technical and analytical work that brings the vision to life. This includes architecture and integrations, data modeling and technical workflows, validation and documentation, research design and analytical methods, and dashboard and reporting development.

Five Actions to Begin Now

• Name one consequential question your division cannot answer with confidence.
• Identify the institutional partners whose authority and expertise are essential.
• Ask what governance structures already exist and where Student Affairs must align.
• Determine who will own analytical readiness and ongoing decision support.
• Select a focused first use case that can build learning, trust, and momentum.

EXECUTIVE TAKEAWAY: The executive does not need to know every technical detail. The role is to keep the initiative purposeful, trusted, adequately supported, and connected to better institutional decisions.