Data Analyst - II

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