Our Company:

At Teradata, we believe that people thrive when empowered with better information. Teradata Autonomous Knowledge Platform activates enterprise intelligence by unifying data, knowledge and business context to achieve tangible outcomes. With Teradata, organizations can provide agents with full context for impact when it matters. Our solution lets businesses connect and scale on premises, in the cloud, or through a hybrid approach. Teradata delivers real business value with AI.

About The Role

Teradata is seeking a curious, technically capable, and risk-minded Senior Operational Risk & Data Analytics Auditor to join our global Enterprise Risk and Assurance Services team. This role is designed for someone who can use data to evaluate business process performance, identify control and compliance patterns, and help ERAS deliver more scalable, analytics-enabled assurance.

This is not a traditional SOX-only or financial statement audit role. The successful candidate will support the ERAS AI and Data Analytics program, helping develop and execute data-enabled audit procedures,



continuous monitoring routines, exception analysis, automation opportunities, and AI-supported assurance activities across financial, operational, compliance, procurement, people, and business process areas.

The role is well suited for someone who enjoys moving between data, process, risk, and audit evidence — someone who can analyze populations, identify meaningful risk signals, pressure-test outputs, and translate results into explicit insights that management and ERAS leadership can act on.

What You’ll Do

Support ERAS’s AI and Data Analytics area by designing, executing, and documenting analytics-enabled assurance procedures across risk-based audits, operational reviews, and management consultations.
Analyze structured data populations to identify anomalies, trends, control exceptions, policy non-compliance, operational inefficiencies, and emerging risk indicators.
Develop repeatable

📌 Senior Operational Risk (India)
🏢 Teradata
📍 India