Head of Growth and Data Science

MaintainX is the world's leading Asset and Work Intelligence platform for industrial and frontline environments. Our mission is to make the lives of blue-collar workers easier worldwide by providing intuitive, mobile-first software that helps teams keep the physical world running. We’re redefining how maintenance and operations teams work, empowering organizations to boost reliability, performance, and efficiency. MaintainX powers operational excellence for 13,000+ businesses including Duracell, Univar Solutions Inc., Titan America, McDonald's, Brenntag, Cintas, Xylem, and Shell. We completed a $150 million Series D funding round in 2025, bringing our total funding to $254 million and valuing the company at $2.5 billion. The Opportunity This is a high-impact, highly visible leadership role at the center of MaintainX's next phase of growth. We're looking for a strategic, technical, and data-obsessed leader to own both our growth engine and our data science function. You'll lead end-to-end growth initiatives—from acquisition and onboarding to activation, expansion, and monetization—while shaping our company-wide data strategy, building a high-performing team, and delivering insights that drive decisions across product, marketing, sales, and customer success. Reporting to the VP of Engineering, you'll operate as a true division leader—building systems, teams, and strategies that compound over time, and helping shape the future leadership bench of the company. What You'll Do Growth Engineering Lead and scale the Growth engineering organization, spanning multiple teams across GTM enablement, onboarding, experimentation, activation, and monetization. Drive a product-led growth engine, including freemium-to-paid conversion, packaging, and expansion workflows. Build platforms and tooling that support onboarding and managing customers with thousands of assets across multiple sites. Develop products for equipment manufacturers and service providers, enabling their customers to better maintain and operate their assets. Build customer-facing experiences and internal tools and agents that enhance the effectiveness of our Marketing and Sales motions. Analytics & Data Science Design, implement, and optimize scalable data models, dashboards, and reporting frameworks to track key business and performance metrics. Partner closely with product, engineering, marketing, sales, and customer success teams to deliver data-driven insights that inform strategy and decision-making. Lead advanced data science initiatives, including predictive modeling, segmentation, and experimentation (e.g., A/B testing) to drive business impact. Establish and refine data governance, data integrity, and best practices to ensure high-quality analytics. Stay current with industry trends and emerging technologies in analytics, data science, and AI. Leadership & Cross-Functional Impact Hire, mentor, and develop engineering leaders, data scientists, and analysts while setting a high bar for delivery, quality, and impact. Build and scale a high-performing organization spanning multiple teams and disciplines. Operate as a true division leader—building systems, teams, and strategies that compound over time. Communicate complex data findings and technical strategies clearly to both technical and non-technical stakeholders. Act as a thought leader in data science and analytics, educating stakeholders and promoting a data-driven culture across the organization. About You 8+ years of experience spanning data science and/or engineering, with at least 3 years in a senior leadership role. Proven track record of building and scaling cross-functional organizations with multiple managers and teams, including hiring, performance management, and career development. Experience leading growth, onboarding, or marketplace teams to deliver consumer or business products. Deep experience with statistical analysis, experimentation (A/B testing), and machine learning concepts. Product and data-driv