Head of Data & Analytics

Executive & Strategic Responsibilities

• C-Suite Advisory: Serve as a trusted advisor to the CEO, CFO, and COO, translating complex data initiatives into strategic business outcomes. Provide the technical clarity needed for executive decision-making and long-term investment planning.
• Sales & Account Partnership: Act as a "Technical Executive" in the field, supporting Account Executives during high-stakes negotiations with major customers. Demonstrate the value of the organization’s data maturity and security posture to win and retain key enterprise accounts.
• Customer-Centric Innovation: Conduct direct customer visits to understand how clients interact with our data products. Use these insights to bridge the gap between technical development and real-world customer needs.
• Enterprise Data Model (EDM) Leadership: Architect and implement a robust Enterprise Data Model leveraging established frameworks and industry standards. Ensure this model serves as the "Single Source of Truth" by reconciling data from Human Capital Management (HCM), ERP, and Service Management platforms.
• Team Scaling (1 to Many): Lead the evolution of the data organization from its current state to a full-service department. Hire, onboard, and scale a high-performing team while fostering a culture of excellence.
• The "Player-Coach" Approach: Act as a versatile leader who is equally comfortable in the boardroom defining strategy as they are "in the weeds" with the technical team. Lead by example, providing hands-on technical guidance while coaching the team toward self-sufficiency.

Ideal Candidate Profile

• Executive Presence: Proven track record of working alongside C-Suite leaders and presenting to external enterprise-level stakeholders.
• Experience: 10+ years in data leadership, specifically leading digital transformation or major system migrations. Experience in a customer-facing or sales-support capacity is highly preferred.
• Technical Mastery: Deep expertise in Data Modeling and modern cloud architectures. High "data fluency"—deep enough to review architecture, yet broad enough to lead AI/ML strategy.
• Leadership Style: A natural Player-Coach who thrives on mentoring others but isn't afraid to roll up their sleeves to solve a complex architectural hurdle.