Join a dynamic team as a Director, leading Managed Analytics, AI Services, and DEX initiatives. This role is central to driving functional excellence, fostering innovation, and enabling long-term growth.

As a vital member of our organization, you will be instrumental in shaping the future of our engineering landscape. Your leadership will empower teams to deliver exceptional results and contribute to our strategic objectives.

This is an opportunity to make a significant impact in a fast-paced and evolving industry. We are looking for a visionary leader to guide our technical endeavors and inspire a culture of continuous improvement.

You will build and lead high-performing engineering teams, establishing a culture of excellence, ownership, and collaboration. A key focus will be on developing engineering organizations that combine startup agility with enterprise-grade quality.

Drive the adoption of modern engineering practices, including cloud-native architecture, AI-assisted development, Platform Engineering, DevSecOps, and SRE. You'll also own end-to-end product delivery, ensuring predictable, high-quality releases and fostering strong partnerships with Product Management.

Provide technical direction for large-scale systems, guiding architectural decisions for scalability, resilience, and security. Champion AI-powered engineering tools and establish responsible AI governance. Lead engineering transformation initiatives across people, processes, technology, and platforms.

A proven track record in leading large software engineering organizations to deliver enterprise-grade products is essential. Deep understanding of microservices, distributed systems, event-driven architecture, cloud-native platforms, and API-first design is required.

Experience in building agile engineering organizations is crucial, along with strong coding proficiency in languages like Java, Golang, or Rust. A solid grasp of DevOps, Platform Engineering, SRE, IaC, CI/CD, and cloud platforms is also necessary.

Demonstrated ability to lead engineering transformation, implement AI-assisted software engineering practices, and manage stakeholders effectively is key. Excellent communication, influencing, and leadership skills, coupled with strong business acumen, are vital for balancing technical excellence with business priorities.