VP, Data

This is a fully remote position, open to applicants in United States.

📋 Description

• Develop and implement a comprehensive technology strategy for commercial systems, data infrastructure, and customer engagement platforms.

• Create the next-generation customer engagement "Engine," achieving measurable enhancements in customer acquisition, retention, ARPU, and EBITDA.

• Establish and nurture strong relationships with stakeholders from the board level to practitioners to ensure technology initiatives align with business objectives that drive digital transformation.

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

• Advocate for the transition to a cohesive commercial and product strategy by enabling self-service for functional teams and delivering high-value algorithmic work utilizing AI/ML.

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

• Lead the transformation of the Data organization towards a value-driven model, supporting commercial, digital product, and customer experience domains rather than a technology-driven approach.

• Guide the evolution of the team from basic support to a mature omnichannel enablement organization that leverages data and insights to drive revenue, EBITDA, and NPS.

• Develop a leadership layer within Data and Engine functions through internal promotions, role re-definition, and strategic hiring to foster scalability and accountability for stakeholders.

• Foster a culture focused on value delivery, transparency, and accountability while promoting iterative improvement, enhanced operational rigor, and prioritization of high-value ML innovation work.

• Oversee the modernization of enterprise-wide data infrastructure, BI, analytics, and data science tools, including the migration, consolidation, and standardization of tools and vendors.

• Ensure alignment between BI, analytics, and Data Science initiatives and business objectives, employing continuous testing and optimization to increase customer and enterprise value.

• Guarantee alignment between commercial technology initiatives and the customer-facing product roadmap, software development, and integration projects.

• Collaborate with external vendors such as Salesforce, AWS, and implementation partners to deliver cost-effective solutions while sustaining strategic direction and execution quality.

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

• Partner with sales, marketing, and partner leadership to align technology with operational goals while overcoming resistance and promoting adoption.

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

⛳️ Requirements

• Over 15 years of progressive tech leadership experience with at least 7 years in senior management roles.

• Proven experience leading large-scale, full-lifecycle digital transformation initiatives and platform consolidations in both B2B and B2C environments, managing internal teams and external partners.

• Experience in merging diverse systems and teams, focusing on enabling personalized customer experiences for omnichannel, multi-product customer acquisition and retention.

• A demonstrated track record of leading and executing technology and data transformation initiatives that deliver significant measurable impact.

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

• Practical experience leading teams to create business leverage (Revenue, EBITDA, NPS) through commercial technology and customer engagement platforms to strategically grow and scale these capabilities.

• Proven success in building and scaling high-performing technical and business-oriented teams.

• Deep knowledge of the modern data stack and its application for BI, Analytics, and Data Science in commercial and product contexts, with a history of successful large-scale implementations.

• Demonstrated ability to partner with boards, C-level executives, and cross-functional implementation teams, effectively navigating resistance and generating buy-in from stakeholders.

• Excellent communication skills, emphasizing brevity, clarity, and data-driven persuasion.

• Relevant industry experience in education, B2C, or consumer-facing products/services is required.

🏝️ Benefits

• Paid time off

• Professional development opportunities