VP, Head of Data in United States at Jobgether

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a VP, Head of Data in United States.

This executive leadership role offers the opportunity to shape and modernize the enterprise data strategy of a large-scale digital marketplace organization at a critical stage of growth and transformation. The position focuses on unifying data engineering, analytics, business intelligence, and data science into a high-performing, business-driven function that accelerates decision-making and operational excellence. You will work closely with executive leadership to establish trusted enterprise metrics, modernize complex data architecture, and enable scalable AI and predictive intelligence initiatives. The role combines strategic vision with hands-on operational leadership, requiring a leader who can balance long-term architectural integrity with measurable business outcomes. This environment values innovation, cross-functional collaboration, data democratization, and disciplined execution across technology and business operations. Ideal candidates are experienced data executives who excel at leading enterprise transformation while building scalable, trusted, and future-ready data ecosystems.

• Define and execute a multi-year enterprise data strategy aligned with business growth, operational efficiency, and long-term scalability objectives.
• Lead and unify cross-functional data teams spanning Data Engineering, Data Science, Business Intelligence, Revenue Analytics, and Data Governance.
• Establish enterprise-wide standards for trusted metrics, data governance, stewardship, and performance measurement.
• Drive modernization and stabilization of fragmented legacy data environments into scalable, domain-oriented architectures with clear sources of truth.
• Improve enterprise decision velocity through near real-time reporting, forecasting, experimentation frameworks, and actionable business intelligence.
• Partner closely with executive leadership to advise on technology investments, data strategy, risk management, and capital allocation decisions.
• Develop scalable data infrastructure capable of supporting AI readiness, predictive analytics, and event-driven intelligence initiatives.
• Implement engineering excellence standards focused on data reliability, observability, deployment rigor, and operational efficiency.
• Lead enterprise-wide efforts around metric integrity, data quality, compliance, security, and governance frameworks.
• Drive adoption of self-service analytics and data democratization initiatives across business functions.
• Oversee strategic vendor relationships, cloud optimization initiatives, and enterprise data investment strategies.
• Recruit, mentor, and retain high-performing data leadership talent while fostering a culture of acceleration, accountability, and innovation.

• 15+ years of progressive leadership experience within enterprise data organizations, including at least 5 years at the VP or senior executive level.
• Proven experience leading multidisciplinary teams across data engineering, analytics, business intelligence, and data science functions.
• Strong background in enterprise data architecture, data platform design, schema modeling, and scalable data engineering practices.
• Demonstrated success driving enterprise-scale data modernization and transformation initiatives in complex environments.
• Ability to influence executive leadership teams and Boards while aligning data strategy with business priorities and ROI objectives.
• Deep understanding of data governance, compliance, metric stewardship, and enterprise risk management practices.
• Experience designing scalable, trusted data ecosystems that support forecasting, experimentation, AI/ML readiness, and operational intelligence.
• Strong technical leadership capabilities with the ability to engage in architectural reviews while maintaining a strategic executive perspective.
• Familiarity with cloud platforms, orchestration frameworks, semantic modeling, and modern data infrastructure concepts.
• Excellent communication, organizational leadership, and stakeholder management skills.
• Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related technical discipline; advanced degree is a plus.
• Strong systems-thinking mindset with the ability to balance technical complexity, execution speed, and long-term business impact.

• Competitive salary range of $252,800 – $328,650 USD.
• Eligibility for bonus and/or equity compensation programs depending on role level.
• Comprehensive medical, dental, and vision healthcare plans.
• Remote-first work environment within the United States.
• Home office setup stipend for new hires.
• Generous paid time off policy.
• Paid holidays, floating holidays, volunteer day, and recharge day.
• Collaborative and innovation-focused company culture.
• Career growth and leadership development opportunities.
• Exposure to large-scale digital marketplace technologies and advanced data transformation initiatives.
• Inclusive and diverse workplace environment committed to employee wellbeing and professional growth.