D&T Analyst II – Data Stewardship

General Mills, Inc.; Mumbai; On-site; INR 1,000,000 - 2,100,000; Full time

Job summary

General Mills India Centre is seeking a D&T Analyst II – Data Stewardship to drive data quality, governance, and lineage for Agentic AI initiatives. You will partner with AI/ML teams, data scientists, and compliance to ensure trustworthy datasets powering autonomous agents.

You will implement schema validation, monitor data health, manage catalogs, and enforce access controls in line with regulatory expectations.

Qualifications

• Bachelor's degree and 8-10 years total experience.
• Strong SQL and Python for data processing.
• Experience with data modeling, schema design and data validation frameworks.
• Knowledge of data governance strategies and processes.
• Experience with data analysis, visualization, observability, versioning and lineage.
• Exposure to cloud technologies (GCP) and agile methodologies.
• Ability to influence, communicate, and drive change within the domain.

Responsibilities

• Define and implement data quality rules across ingestion, transformation, and model inputs.
• Collaborate with Data Engineers to monitor data quality metrics and health.
• Monitor dataset health metrics and set up alerting mechanisms.
• Implement end-to-end data lineage for agentic AI data flows.
• Use observability tools to trace data dependencies affecting agent decisions.
• Support root cause analysis of agent failures linked to upstream data issues.
• Maintain data catalogs and governance policies for Agentic AI datasets.

Skills

SQL

Python

Data modeling

Schema design

Data validation

Data governance

Data analysis

Data visualization

Data observability

Data versioning

End-to-end process

Data lineage

Agile methodologies

Communication

Leadership

Education

Bachelor's degree

Tools

GCP

Cloud

Job description

**OVERVIEW**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) **MINIMUM QUALIFICATIONS** * Bachelor's degree and 8-10 years of total experience **PREFERRED QUALIFICATIONS*** Strong SQL and working knowledge of Python for data processing* Experience with Data Modeling, schema design and data validation frameworks.* Demonstrated knowledge of Data Governance strategies and processes* Experience with Data Analysis, Data Visualization, Data Observability, Data versioning, End to End Process mindset, Lineage.* Exposure to Database Technologies (GCP, Cloud, etc)* Exposure to Agile Methodologies (ADO, etc)* Demonstrated ability to influence and drive change within their domain* Solid communication and interpersonal skills* Experience and competence in leading, influencing, coaching and mentoring others* Attention to detail with the ability to identify patterns and inconsistencies