Assistant Vice President of Data, Analytics, and AI Strategy

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  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.

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  Strengthen data governance, data quality, privacy, security, and responsible AI practices so leaders can rely on trusted information and use emerging technologies appropriately.

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  Oversee enterprise reporting, dashboards, visual analytics, advanced analytics, and AI-enabled insights that are clear, actionable, and connected to institutional outcomes.

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  Serve as a strategic advisor to executives, chancellors, and functional leaders by translating data, analytics, and AI opportunities into practical recommendations and decisions.

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  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.

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  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.

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  Lead, mentor, and develop data, analytics, institutional research, and business intelligence teams to foster collaboration, innovation, accountability, and continuous improvement.

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  Collaborate with technology leaders to ensure data architecture, integrations, platforms, and tools support secure, modern, and flexible use of data and AI at scale.

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  Prepare executive-level materials, recommendations, and Board-ready insights that connect data and AI work to institutional priorities, risks, opportunities, and measurable outcomes.

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  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.

• Strategic thinking and sound judgment.
• Portfolio and project leadership.
• Collaborative influence and relationship building.
• Executive communication and decision facilitation.
• Planning, organization, and follow-through.
• Systems thinking and continuous improvement.
• Must consistently exercise independent judgment and discretion in matters of significance.
• Must demonstrate the ability to foster a respectful and inclusive environment in which students and employees feel valued and supported.

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:

• 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

• 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)