3 jobs found in Hybrid, hybrid

Reporting directly to the Chief Executive Officer, the Chief Transformation Officer will lead strategic initiatives designed to improve operational performance and strengthen the company’s ability to scale. Key areas of focus include: Operational Transformation • Identify and lead initiatives that improve efficiency across the organization • Implement systems and processes that support scalable growth • Improve coordination across operational teams and business units Technology Enablement • Work closely with technology leaders to implement systems that support operational improvement • Leverage data and analytics to improve decision-making and performance visibility Performance Management • Develop operational KPIs that provide insight into performance across the organization • Strengthen reporting capabilities for both management and the private equity sponsor Strategic Initiatives • Support integration of acquisitions • Lead cross-functional projects that...

Reporting to the Chief Technology Officer, the Vice President of Platform Engineering will lead the engineering organization responsible for building, maintaining, and scaling the company’s core platform infrastructure. Key areas of focus include: Engineering Leadership • Build and lead high-performing engineering teams across multiple product areas • Develop engineering leaders and strengthen technical depth within the organization • Establish a culture of accountability, collaboration, and technical excellence Platform Architecture & Infrastructure • Evaluate and evolve the company’s platform architecture to support future growth • Improve system reliability, performance, and scalability • Partner with DevOps and infrastructure teams to strengthen cloud infrastructure and deployment practices Engineering Execution • Improve development velocity and release predictability • Implement modern engineering practices, including CI/CD, automated testing, and...

Reporting to the Chief Technology Officer, the Chief AI Officer will lead the development of the company’s AI strategy and oversee the integration of advanced analytics capabilities into the platform. Key areas of focus include: AI Strategy • Develop a comprehensive AI roadmap aligned with product strategy • Identify opportunities to embed machine learning and predictive analytics into the platform Data Infrastructure • Build scalable infrastructure capable of supporting large-scale data analysis • Partner with engineering teams to integrate AI capabilities across products Product Innovation • Translate advanced analytics into customer-facing product capabilities • Support the development of new data-driven solutions Team Leadership • Build and lead a high-performing data science and machine learning organization • Establish best practices for experimentation, model development, and deployment