Risepoint · 12 hours ago
VP, Marketing Insights & Analytics
United States
Full-time
Remote
Director/Executive
12+ years expRisepoint is an education technology company that provides world-class support and trusted expertise to more than 100 universities and colleges. The VP of Marketing Insights & Analytics will build and lead a unified insights capability that transforms data into strategic, actionable intelligence across Marketing & Operations, shaping hypotheses and delivering predictive insights to influence decision-making across the executive team.
EducationHigher EducationUniversities
Responsibilities
Serve as the executive-level insights partner to Marketing & Ops leadership (COO, Channel, Integrated Marketing, Student Success, Strategy leaders)
Shape strategic hypotheses and drive a fact-based approach to identifying revenue growth opportunities, cost savings, operational efficiency gains, and margin expansion
Partner with functional leaders to define, prioritize, and implement strategic initiatives and transformation efforts informed by data, ensuring insights translate into measurable business outcomes
Translate advanced analytics into compelling narratives that influence executive and board-level decisions; help direct effort and investment across the business
Align insights priorities with business needs and overall strategy, ensuring work is focused on the most impactful outcomes
Build strong cross-functional relationships to accelerate adoption of insights and drive measurable, sustained improvements
Lead the integrated analytics partnership across four core business domains. Each area will have some level of dedicated resourcing to shape opportunity areas, establish key metrics and monitoring, and deliver hands-on impact through data-driven efforts: Performance Analytics
Deliver portfolio-level insights that surface revenue opportunities, risk signals, and growth drivers
Own investor and board narratives (including investor-facing Monthly Business Review) with rigorous, actionable analysis and clear messaging
Drive cross-functional budget process and forecasting across Marketing & Ops
Channel Marketing Analytics
Own insights across paid, organic, email, field marketing channels to drive higher ROI and efficiency
Lead MMM, attribution & incrementality, audiences/segmentation, testing capabilities that improve channel allocation and performance
Student Success Center (SSC)
Analyze call center productivity, agent performance, voice-of-student signals, and engagement patterns
Use AI/ML and conversation intelligence to identify operational levers that improve conversion and retention
Integrated Marketing & Partner Insights
Deliver partner-level insights across funnel performance, portfolio health, and holistic student lifecycle
Identify cross-portfolio opportunities to improve partner growth, student outcomes, and commercial performance
Define a scalable organizational model with shared methodologies, tooling, and standards of excellence that increase velocity and quality of insights
Establish end-to-end processes for generating insights—from data exploration to recommendations that drive action
Create a culture of analytical rigor, experimentation, AI-enabled analysis, and business impact
Mentor and develop leaders and analysts, elevating technical depth, business acumen, and storytelling
Drive Action Through Advanced Analytics & Modern Modelling Approaches
Lead the design and implementation of analytics solutions that produce measurable business impact, including: Predictive modeling (e.g., value-based bidding, lead scoring, churn/retention/ drop-out)
AI/ML applications (e.g., learning from voice data, filtering/recommendations)
Experimentation and incrementality frameworks
Optimization models (incl. MMM, value-based bidding, incrementality testing)
Own model governance, monitoring, and performance lifecycle in partnership with data engineering
Introduce and embed a test-and-learn culture across marketing and operations to quantify uplift and ROI
Use GenAI tools to accelerate insight discovery, automate exploratory analysis, and improve visualization/storytelling
Partner with data engineering teams to define analytical data needs (back-end data pipeline across 1st, 2nd, 3rd party data) and ensure teams can leverage high-quality, AI-ready data assets
Qualification
Required
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
Preferred
Prior experience in Management Consulting or strategy roles supporting executive-level decision-making
Company
Risepoint
Risepoint partners with universities to create online degree programs and offers recruitment marketing and admissions services.
1001-5000 employees
Funding
Current Stage
Late StageRecent News
2025-12-02
Company data provided by crunchbase