Senior Vice President, Chief Data & Analytics Officer (CDAO)

About the position Cinch Home Services (~ $350M+ revenue) is a privately held, leading provider of home protection plans with a fifty-year history of serving American homeowners. We are a growth-driven company at the crossroads of home services and technology, dedicated to redefining how homeowners access service, protection, and value. Supported by an experienced leadership team and forward-thinking investors, we are undergoing a strategic transformation - modernizing operations, expanding distribution across multiple verticals, and embedding data-driven decision-making at every level. Our comprehensive solutions help customers manage the cost of appliance and essential home system repairs, including HVAC, plumbing, electrical, and more. Handling hundreds of thousands of service requests annually, we provide homeowners with modern tools, a nationwide network of trusted service providers, and an industry-leading 180-day workmanship guarantee. We serve customers both directly and through key strategic partners in Insurance, Financial Services, Real Estate, and Utilities. Responsibilities • Set the vision and lead the charge on an enterprise-wide data and analytics strategy, one that fuels growth, sharpens customer value, and powers operational excellence at scale. • Work shoulder-to-shoulder with executive leadership to ensure data priorities align with transformation goals and the next wave of market opportunity. • Champion a data-first culture by embedding insight into the everyday, from frontline decisions to boardroom conversations and long-range planning. • Architect and execute a multi-year roadmap for enterprise data, BI, and data science, including platform modernization, third-party data integration, and the tools that will scale with the business. • Drive adoption of modern data platforms, BI, and advanced analytics (AI/ML) to move the organization from hindsight to foresight; enabling faster, smarter decisions across the enterprise. • Design and deliver performance dashboards and decision tools that not only report the numbers but shape the strategy with the right KPIs to accelerate action. • Oversee seamless data integration, quality control, and model deployment to ensure accuracy, scalability, and real-world impact from lab to production. • Build and lead a pragmatic, enterprise-ready data governance strategy, balancing access and protection while ensuring data is trusted, secure, and usable at scale. • Own compliance across complex regulatory environments (e.g., GDPR, HIPAA, CCPA), staying ahead of risk while enabling innovation. • Lead AI data enablement with integrity, overseeing privacy, quality, and responsible data use in a rapidly evolving landscape. • Shift governance from gatekeeping to value creation, using data observability and modern tooling to drive trust, not just control. • Build and scale a world-class data organization, attracting top talent across analytics, engineering, and data science, and creating an environment where they thrive. • Define the right blend of in-house and external resources to drive efficiency and agility without compromising quality. • Instill a culture of experimentation, ethics, and relentless improvement, where curiosity meets business impact and insight turns into action. • Promote data literacy across the business, equipping teams at every level to work smarter with data. • Advise the CEO and executive team with clarity and confidence, turning complex data into a guide for strategic direction. • Act as a force multiplier across functions, aligning analytics with real business needs, from revenue growth to operational efficiency. • Collaborate across the ecosystem, from customers and partners to vendors, to fuel innovation, create value, and extend the company's data advantage. • Represent the organization externally as a data and analytics thought leader, raising its profile in the industry and attracting top talent. Requirements • 12+ years of progressive leadership in data, analytics, or digital transformation - with a proven ability to lead at scale, drive enterprise value, and turn complexity into competitive advantage. • Strong command of modern analytics tools, AI/ML applications, and big data technologies, with the judgment to separate hype from what drives real impact. • Strategic thinker and operator who can move seamlessly between C-suite conversations and technical depth, translating vision into execution. • Bachelor's degree in a relevant field (e.g., Business, Computer Science, Data Science); an advanced degree (MBA, PhD) is valued but not required. • Relevant certifications (e.g., CDMP, CIPP, AWS/GCP/Azure) are a plus, but your experience, outcomes, and leadership presence matter most. Nice-to-haves • Experience in B2B2C and direct-to-consumer models. • Proven builder of top-tier data teams; fostering curiosity, experimentation, strong business ties, and a culture of constant improvement. • Expert at optimizing funnels, mastering key metrics, and leveraging predictive insights to deliver game-changing go-to-market strategies. Benefits • Competitive compensation and benefits package. • Relocation assistance. • Executive onboarding to ensure a smooth transition. Apply tot his job