D&T Analyst II – Data Stewardship

The Digital and Technology team of General Mills India Centre is looking for a passionate and enthusiastic individual to contribute to the Global Digital Transformation initiative at General Mills in capacity of a D&T Analyst II – Data Stewardship. This role will report into Sr. D&T Manager - Data Stewardship, GDGS team in India and functionally collaborate with stakeholders across the Enterprise teams. It is an Individual contributor role. We are seeking a detail-oriented and forward-thinking Data Steward to support the development and governance of data powering agentic AI systems —AI agents capable of autonomous decision-making and task execution. This role ensures data quality, integrity, compliance, and usability across the lifecycle of intelligent agents. This role will work closely with AI engineers, data scientists, product teams, and governance stakeholders to maintain trustworthy, well-structured, and ethically managed datasets that drive reliable agent behaviour.

KEY ACCOUNTABILITIES

Define and implement data quality rules (schema validation, referential integrity, distribution checks, drift detection) using Data Quality tools.

Collaborate with Data Engineers to define and monitor data quality metrics (accuracy, completeness, consistency) essential for high-performing, unbiased AI agents and their tools.

Monitor dataset health metrics (null ratios, entropy, cardinality, outliers) and set up alerting mechanisms.

Implement end-to-end data lineage across ingestion → transformation → feature stores → model inputs → agent outputs.

Use observability tools (Monte Carlo, etc) to trace data dependencies impacting agent decisions

Support root cause analysis of agent failures linked to upstream data issues.

Serve as the primary point of contact between AI/ML Engineers, Data Scientists, Legal/Compliance, and Business Process Owners regarding all data-related aspects of Agentic AI solutions.

Maintain data catalogs and semantic layers (Collibra, Alation, etc)

Ensure interoperability across structured data and unstructured data.

Ensure all data practices related to Agentic AI comply with internal policies and external regulations (e.g., GDPR, CCPA, HIPAA), paying close attention to the unique compliance risks of autonomous data use

Establish and enforce data governance policies, standards, and procedures uniquely tailored for AI agents, including data collection, usage, sharing, and retention protocols specific to autonomous and multi-agent systems.

Enforce data access controls, masking, and PII handling in accordance with regulations.

Maintain audit trails for data used in agent decisions (critical for explainability and compliance).

Develop and execute procedures for Annual Attestation for Unstructured Data Management Plans (DMP) and Agentic AI Data Management Plans (ADMPs)

Support DMP/ADMP automation initiatives across BQ, Agentic AI, and other applicable areas of data governance

Establish audit compliance methodology and communication processes (e.g., all data sources/agents have DMP/ADMP, cataloguing of all AI agents, attestation completion)