Imagine leading the charge at a company where your vision for data and technology operations directly fuels groundbreaking marketing analytics and AI-powered product innovation. As the SVP, DataOps & DevOps, you'll be the architect behind the scenes, building the scalable, intelligent backbone that empowers rapid decision-making and delivers solutions that are transforming an industry. You'll spend your days shaping a world-class practice, working with cutting-edge AI technologies, and building high-performing teams that thrive on innovation and collaboration. This is your chance to turn complex data science and DevOps challenges into streamlined, high-performing engines that propel significant company growth.

• Develop and champion the overall vision and strategy for DataOps and DevOps, with a strong emphasis on leveraging AI for optimization and automation.
• Build, lead, and mentor high-performing teams of data engineers, DevOps engineers, and related specialists.
• Design and implement robust, scalable, and secure data pipelines and infrastructure to support significant team expansion.
• Establish and enforce best practices for CI/CD, automation, monitoring, and incident response.
• Collaborate closely with engineering, product, and analytics teams to ensure alignment and effective delivery.
• Drive the adoption of modern technologies and methodologies to optimize performance and efficiency.
• Lead the re-engineering of efficiently coded MVP products into the platform DevOps for greater efficiency.
• Support training and education systems to empower less experienced developers with built-in testing and new AI tools.
• Actively participate in strategic planning, contributing to the company's long-term vision.

Required:

• Typically, 15+ years of progressive experience in technology, with significant leadership roles in data engineering, DevOps, or related areas.
• A strong track record of building and scaling technical teams, ideally up to 50-100 individuals.
• Deep expertise in cloud platforms (e.g., AWS, Azure, GCP), data technologies, and automation tools.
• Recent, demonstrable experience in adopting, exploring, and successfully using AI, including RAGs, CAGs, and KAGs.
• Proven ability to drive organizational change and implement best practices.
• Exceptional communication, collaboration, and influencing skills across all levels of an organization.
• An embrace of the "citizen programmer" concept and the ability to foster a culture where more people can prototype and push out solutions.
• The ability to attract and retain top-level talent, building a high-performing organization.