Assistant Vice President of Data, Analytics, and AI Strategy

Ivy Tech Community College•Indianapolis, IN

About The Position

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.

Requirements

A bachelor's degree in business administration, computer science, data science, information systems, statistics, mathematics, economics, or a related field is required.
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.

Nice To Haves

A master's degree in a related field is preferred.

Responsibilities

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.

Benefits

Multiple medical plan options paired with a Health Savings Account with a generous employer contribution
Dental plan with no-cost preventive services and coverage for orthodontia
Vision plan with low-cost exams and allowances for glasses or contact lenses
Employee Assistance Program offering no-cost confidential counseling sessions, legal consultations, financial planning consultations, and other resources
Wellness program with opportunities to earn $250 in Wellness Rewards
Flexible Spending Accounts for healthcare (limited purpose) and dependent care
10% employer retirement contribution, fully vested after two years
Basic life insurance equal to annual salary paid by the College, with optional supplemental coverage
Short-term and long-term disability benefits
Fee remission for employees, spouses, and dependent children
Tuition assistance for undergraduate, graduate, and doctoral programs
Paid professional development opportunities
Generous paid time off, including vacation, sick leave, holidays, and winter recess
Flexible work arrangements where available
Paid childbirth recovery leave (8 weeks)
Paid parental leave (4 weeks)
Eligibility for Public Service Loan Forgiveness
Additional discounts on gym memberships, transportation, and various retail services