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Ivy Tech Community College
Indianapolis, IN
Source: Ivy Tech Community College careers · View original posting
From Ivy Tech Community College's posting. “We” and “our” refer to the employer.
Under the direction of the SVP & Chief Information Officer, the Assistant Vice President of Data, Analytics, and AI Strategy provides enterprise leadership for Ivy Tech’s data, analytics, and artificial intelligence priorities. This position advances a College-wide strategy for trusted data, actionable insights, and responsible AI that strengthens decision-making, improves student and employee experiences, and supports institutional priorities.
The AVP partners with senior leaders, chancellors, academic and administrative units, and technology teams to align data and AI initiatives with College goals, strengthen governance and data quality, and identify innovative opportunities to create measurable value. The role is responsible for building future-ready data and AI capabilities that are secure, scalable, sustainable, and practical for leaders across the College to use.
Lead the College’s enterprise data, analytics, and AI strategy in alignment with institutional priorities, student success goals, operational needs, and long-term digital transformation efforts.
Strengthen data governance, data quality, privacy, security, and responsible AI practices so leaders can rely on trusted information and use emerging technologies appropriately.
Oversee enterprise reporting, dashboards, visual analytics, advanced analytics, and AI-enabled insights that are clear, actionable, and connected to institutional outcomes.
Serve as a strategic advisor to executives, chancellors, and functional leaders by translating data, analytics, and AI opportunities into practical recommendations and decisions.
Identify and advance innovative uses of artificial intelligence, predictive analytics, automation, and modern data platforms to improve planning, service delivery, institutional effectiveness, and student outcomes.
Partner across academic, administrative, institutional research, and technology areas to prioritize high-value initiatives, define success measures, evaluate outcomes, and ensure solutions are scalable and sustainable.
Lead, mentor, and develop data, analytics, institutional research, and business intelligence teams to foster collaboration, innovation, accountability, and continuous improvement.
Collaborate with technology leaders to ensure data architecture, integrations, platforms, and tools support secure, modern, and flexible use of data and AI at scale.
Prepare executive-level materials, recommendations, and Board-ready insights that connect data and AI work to institutional priorities, risks, opportunities, and measurable outcomes.
Champion a culture of data-informed decision-making and responsible innovation by helping leaders understand, trust, and apply data and AI insights in practical ways.
A bachelor's degree in business administration, computer science, data science, information systems, statistics, mathematics, economics, or a related field is required. A master's degree in a related field is preferred.
Seven or more years of progressively responsible leadership experience in data strategy, analytics, institutional research, business intelligence, AI strategy, or related fields is required.
Demonstrated ability to lead enterprise data and analytics teams, programs, or initiatives that improve decision-making, strengthen institutional outcomes, and deliver measurable value.
Strong understanding of modern data platforms, analytics tools, reporting environments, data architecture, visualization, and emerging AI capabilities.
Experience advancing data governance, data quality, privacy, security, ethical data use, and responsible AI practices in a complex organization.
Ability to evaluate emerging technologies, challenge assumptions, and translate innovation into practical, scalable, and sustainable solutions.
Strong executive presence and communication skills, including the ability to present complex technical concepts, risks, tradeoffs, and recommendations clearly to executive, academic, administrative, and non-technical audiences.
Demonstrated strategic thinking, intellectual curiosity, sound judgment, and comfort working through ambiguity in a fast-changing data and AI landscape.
Must demonstrate the ability to promote an inclusive environment that reflects the broad diversity and backgrounds represented by our students and employees and in which every individual feels respected and valued.
Ivy Tech is committed to supporting the well-being, growth, and financial security of our full-time faculty and staff. Our comprehensive benefits package includes:
Ivy Tech is proud to offer benefits that support your health, your family, and your future—because when our employees thrive, our students and communities thrive too. For more information on Ivy Tech Benefits, visit https://careers.ivytech.edu/benefits .
Note: Employees who re-hire with the College within 180 days of leaving a full-time position with the College may be eligible for additional benefits depending on their bridged seniority date.
Ivy Tech Community College is an accredited, equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, ethnicity, national origin, marital status, religion, sex, gender, sexual orientation, gender identity, disability, age or veteran status.
As required by Title IX of the Education Amendments of 1972, Ivy Tech Community College does not discriminate on the basis of sex, including sexual harassment in its educational programs and activities, including employment and admissions. Questions specific to Title IX may be referred to the College’s Title IX Coordinator or to the US Department of Education Office of Civil Rights.
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