D&T Analyst II – Data Stewardship

COMPANY OVERVIEW

We exist to make food the world loves. But we do more than that. Our company is a place that prioritizes being a force for good, a place to expand learning, explore new perspectives and reimagine new possibilities, every day. We look for people who want to bring their best — bold thinkers with big hearts who challenge one another and grow together. Because becoming the undisputed leader in food means surrounding ourselves with people who are hungry for what’s next.​




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




ELIGIBILITY

Applicants must meet minimum age qualifications in the country in which the job is located.