Head of Data, ManyChat

• We're looking for a data leader who’s not just experienced but passionate about building and scaling high-performing teams
• The ideal candidate has significant experience leading data teams, and collaborating closely with other functions
• You bring a deep understanding of modern data technologies, practices, and processes and know how to mentor technical leaders, foster specialization, and scale data functions to meet evolving needs
• Experience in taking AI or ML models from concept to production is a big plus
• 8+ years in data-related fields (Data Engineering, AI/ML, Data Management, Analytics), with at least 3+ years in a people leadership role overseeing technical teams
• Strong understanding of data engineering, AI/ML systems, and data platform technologies
• You're comfortable guiding technical experts without necessarily diving into hands-on execution
• Proven ability to lead through influence, guide technical leaders, facilitate alignment
• Across complex teams, and articulate clear visions and strategies at both technical and executive levels
• Collaborative mindset and strong track record in building partnerships across Product,
• Engineering, and business stakeholders to drive large data initiatives
• Ability to thrive in a dynamic, rapidly growing SaaS environment, comfortably managing ambiguity and making decisions amid uncertainty

Desirable

• As Head of Data you'll manage and grow a team of talented individuals across Data Engineering and AI, reporting directly to the Director of Data and Analytics
• Manage, mentor, and grow a technical team
• Cultivate a collaborative environment that empowers the team to innovate and deliver impactful data solutions
• Drive development of impactful AI products – including AI agents – in collaboration with the Product and Engineering leadership
• Provide direction for the development of our data platform, including the development of AI and ML capabilities
• Including the decision on appropriate frameworks and tools, ensuring scalable, robust, and future-proof solutions
• Lead the evolution of the data organization by implementing structures, defining clear roles, and fostering specialization
• Encourage a mindset of continuous improvement, accountability, and adaptability across your team
• Act as a strategic partner to leadership across Product, Engineering, and other departments
• Clearly communicate initiatives, ensuring alignment with broader organizational objectives