Senior Engineering Manager, AI-Driven Data & Telemetry

Our Company

At Teradata, we believe that people thrive when empowered with better information. That’s why we built the most complete cloud analytics and data platform for AI. By delivering harmonized data, trusted AI, and faster innovation, we uplift and empower our customers—and our customers’ customers—to make better, more confident decisions. The world’s top companies across every major industry trust Teradata to improve business performance, enrich customer experiences, and fully integrate data across the enterprise.

• Lead and drive the development of scalable data pipelines and observability frameworks in public cloud environments (AWS, Azure, GCP).
• Manage and mentor a high-performing engineering team, ensuring delivery, team performance, quality, and on-time releases.
• Lead development of enterprise-grade services that are platform agnostic and scalable to handle high volumes of data.
• Champion the adoption and integration of AI technologies—including Agentic AI, LLMs, and modern AI tools—into engineering workflows and product development.
• Drive extensive automation for process efficiencies across development, deployment, and operational workflows.
• Implement and optimize robust services for telemetry and observability for high availability, resiliency, and performance.
• Monitor, analyze, and optimize system performance; proactively troubleshoot and resolve issues related to data flows and telemetry.
• Collaborate closely with Product, Support, Operations, and Engineering teams to deliver enhanced reliability, user experience, and operational transparency.
• Evaluate and adopt new technologies, driving continuous improvement in pipeline scalability, observability, cloud integration, and AI-powered innovation.

• A strong focus on innovation, continuous learning, and open communication.
• Commitment to mutual respect and empowering team members in a collaborative environment.
• Support for diverse perspectives and fostering professional growth through mentorship and shared ownership.
• A culture that values ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related disciplines.
• 10+ years of relevant industry experience, including 2+ years in management roles.
• Demonstrated proficiency with AI technologies, including leveraging AI to drive innovation and efficiency.
• Strong programming skills (Java, Python/Go) and experience building distributed systems.
• Proven experience in product development and ownership of core platforms or user-facing features.
• Working experience with Docker, Kubernetes on cloud and on-premises.
• Ownership, accountability, and creativity in a dynamic, impact-driven engineering environment.

• Experience designing and scaling observability frameworks or telemetry pipelines.
• Practical experience integrating with tools/frameworks such as Open Telemetry, Prometheus, Grafana, Datadog, Splunk.
• Excellent communication, teamwork, and leadership skills.
• Proven problem-solving skills, initiative, and a proactive engineering mindset.