VP, Data

Position Summary 

As the Vice President, Data, you will lead transformative initiatives across omnichannel customer technology, enterprise data, analytics, and data science. Reporting directly to the SVP of Product, Data & Commercial Technology, this role is responsible for driving customer engagement, revenue growth, operational efficiency, and digital transformation across a multi-brand enterprise serving both B2B and B2C customers.

The VP owns the strategy, execution, and evolution of the enterprise data roadmap, overseeing data infrastructure, business intelligence, analytics, and data science capabilities that enable personalized customer experiences, data-driven decision-making, and scalable business growth. This leader will also build, develop, and inspire high-performing teams while fostering a culture of innovation and engineering excellence.

You will lead two key functions:

Data Engineering & Business Intelligence: Responsible for modernizing enterprise data infrastructure, data platforms, governance, and business intelligence engineering.

Data Science & Analytics: Responsible for advanced analytics, machine learning, and applied data science to improve customer acquisition, onboarding, retention, engagement, and overall business performance.

You have a proven track record of leading complex, cross-functional transformation initiatives from strategy through execution. You excel at delivering enterprise-wide programs aligned with C-suite priorities, driving measurable business outcomes while managing long-term initiatives across internal and external stakeholders.

This is a highly collaborative leadership role, partnering closely with the Chief Commercial Officer, Business Unit COOs, SVP of Product & Design, SVP of Product Engineering, executive leadership, board members, and cross-functional teams to translate strategic business objectives into scalable technology solutions and deliver an integrated commercial, product, and customer experience strategy.

You are a strategic, business-minded leader who builds high-performing organizations, leads through change, and consistently delivers results. You foster a culture of accountability, collaboration, continuous improvement, and empowered teams while maintaining a strong focus on business outcomes, innovation, and engineering excellence. 

Position Responsibilities: 

Strategic Leadership & Vision 

Define and execute a comprehensive technology strategy for commercial systems, data infrastructure, and customer engagement platforms. 

Build the next-generation customer engagement "Engine,” delivering measurable improvements in customer acquisition, retention, ARPU, and EBITDA. 

Build and maintain strong relationships with stakeholders from the board to practitioner- level to align technology initiatives with business objectives driving digital transformation. 

Integrate data functions, unifying data infrastructure, creating self-service BI capacity, and optimizing teams to align data and analytics efforts with commercial, product, and CX goals. 

Champion the shift to an integrated commercial and product strategy by enabling self- service for functional teams and delivering more high-value algorithmic work using AI/ML. 

Team Leadership and Development 

Build and scale a high-performing team of ~25 FTEs and consultants, including resources for Engineering, Analytics, and Data Science. 

Lead the transformation of the Data organization into a value-driven (vs. technology-driven) model supporting commercial, digital product, and customer experience domains. 

Guide the evolution of the team from baseline support to a mature omnichannel enablement organization leveraging data and insights to drive revenue, EBITDA and NPS. 

Develop a leadership layer across Data and Engine functions through internal advancement, role re-definition, and strategic hiring to create scale and accountability for stakeholders. 

Cultivate a culture of value delivery, transparency, and accountability, while driving iterative improvement, greater operational rigor and prioritization of high-value ML innovation work. 

Technology Leadership 

Direct the modernization of enterprise-wide data infrastructure, BI, analytics and data science tools, migrating, consolidating and standardizing tools and vendors. 

Ensure alignment between BI, analytics, and Data Science initiatives and business goals, leveraging continuous testing and optimization to enhance customer and enterprise value. 

Ensure alignment between commercial technology initiatives and customer-facing product roadmap, software development and integration initiatives. 

Partner with external vendors including Salesforce, AWS, and implementation partners, to deliver cost-effective solutions while maintaining strategic direction and execution quality. 

Cross-Functional Collaboration 

Partner closely with the Chief Commercial Officer, COO for Online, COO for Campus, and SVP Product to ensure seamless execution of commercial technology strategies. 

Collaborate with sales, marketing and partner leadership to align technology with operational goals, while navigating resistance and driving adoption. 

Present strategies and outcomes to executive leadership and the Board, leveraging data and analysis to build consensus and drive decisions. 

Knowledge, Skills and Abilities:

15+ years progressive tech leadership experience with 7+ years in senior management roles. 

Experience leading large-scale, full-lifecycle digital transformation initiatives and platform consolidations in B2B and B2C settings, managing internal teams and external partners. 

Experience merging disparate systems and teams, with a focus on enabling personalized customer experiences for omnichannel, multi-product customer acquisition and retention. 

Proven track-record leading and executing technology and data-specific transformation initiatives delivering compelling measurable impact. 

Senior-level leadership background across high-growth entrepreneurial environments and companies undergoing transformational changes in corporate development. 

Hands-on experience leading teams in creating business leverage (Revenue, EBITDA, NPS) using commercial technology and customer engagement platforms to grow and scale these capabilities on a strategic basis. 

Track record building and scaling high-performing technical and business-facing teams 

Deep understanding of the modern data stack and its deployment for BI, Analytics and Data Science applications in commercial and product use cases, with a track record of successful implementations at scale. 

Demonstrated success partnering with boards, C-level executives and cross-functional implementation teams, navigating resistance and generating buy-in from stakeholders 

Superior communication skills, with an emphasis on brevity, clarity, and data-driven persuasion. 

Industry experience in education, B2C, or consumer-facing products/services required.