VP, Marketing Insights & Analytics

Risepoint

6d

About The Position

Risepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. We primarily work with regional universities, helping them develop and grow their high-ROI, workforce-focused online degree programs in critical areas such as nursing, teaching, business, and public service. Risepoint is dedicated to increasing access to affordable education so that more students, especially working adults, can improve their careers and meet employer and community needs. Risepoint is seeking a VP of Business Insights & Analytics to build and lead a unified insights capability that transforms data into strategic, actionable intelligence across Marketing & Operations. This leader will integrate analytics from across the organization into a cohesive insights engine—elevating our understanding of student behavior, partner performance, marketing channel ROI, operational efficiency, and cost/revenue opportunities. This role is responsible for shaping hypotheses, delivering predictive and prescriptive insights, designing experimentation frameworks, driving critical data-driven cost & revenue initiatives, and influencing decision-making across the executive team. While data engineering and governance sit outside of immediate scope, this role will shape data requirements and partner there closely to ensure data is leveraged fully and effectively. The ideal candidate is a strategic thinker, builder, and end-to-end operator with deep experience implementing analytics solutions—including AI/ML-enabled approaches—that drive material revenue lift, cost efficiency, or measurable performance improvement.

Requirements

• 12+ years of experience in analytics, insights, data science, or data-driven strategy roles with a track record of driving material business impact.
• Proven ability to design and implement analytics solutions—including predictive modeling, experimentation, and AI/ML applications—that deliver measurable revenue lift, cost efficiency, or performance improvement.
• Deep experience leading multi-disciplinary analytics teams and building new capabilities, operating models, and standards that scale across complex organizations.
• Strong background in marketing analytics, operational analytics, customer lifecycle insights, or channel optimization, with the ability to connect insights to financial outcomes, unit economics, and partner performance.
• Demonstrated success influencing executives and driving insight-to-action, including shaping strategic hypotheses, guiding investment decisions, and elevating analytics in leadership discussions.
• Experience working with modern analytics and AI ecosystems, partnering closely with data engineering, BI, and product/tech teams to ensure high-quality data, AI-ready infrastructure, and resilient measurement frameworks.
• Demonstrated experience building and operationalizing analytics frameworks that improve revenue, reduce costs, or enhance efficiency—translating advanced methods into solutions embedded in day-to-day decision-making.
• Distinctive ability to translate complex analytics into strategic narratives and executive-ready recommendations that shape direction, investment, and priorities.
• Deep business acumen across marketing, operations, and partner economics, with the ability to connect insights to financial outcomes, unit economics, and operational levers.
• Strong leadership, communication, and stakeholder management skills, with a proven track record of developing talent, building high-performing teams, and driving adoption of insights across complex, cross-functional organizations.
• Comfortable navigating ambiguity and turning open-ended questions into structured, actionable hypotheses and solutions that drive measurable business impact.
• Strong technical foundation in modern analytics techniques including predictive modeling, segmentation, lifetime value, funnel analytics, experimentation, optimization, uplift modeling, and causal inference approaches where randomized testing isn’t feasible.
• Hands-on experience applying AI and ML (LLMs & GenAI, NLP, classification, clustering, forecasting, automation) to generate actionable insights, accelerate analysis, and improve operational performance; familiarity with emerging LLMOps practices such as evaluation, monitoring, and prompt governance.
• Fluency in modern data and analytics environments, with experience partnering closely with data engineering and BI teams to design analytics-ready, AI-enabled data assets and ensure high-quality inputs for modeling and insights.

Nice To Haves

• prior experience in Management Consulting or strategy roles supporting executive-level decision-making.

Responsibilities

• Cross-Functional Influence & Strategic Impact
• Lead, Build, and Scale a High-Performing Insights Organization and Business Partnership Model
• Drive Action Through Advanced Analytics & Modern Modelling Approaches

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed
• Number of Employees: 1,001-5,000 employees