Data Steward / Data Scientist (GenAI + Governance)

We are looking for a Senior Data Steward / Data Scientist with a rare combination of data engineering, governance, analytics, and GenAI expertise. This role sits at the intersection of advanced analytics, data ownership, governance frameworks, and AI-driven automation, helping unlock the full value of enterprise data while ensuring trust, quality, and traceability. Key Responsibilities: Data Science & Analytics

• Design and deploy statistical models and ML algorithms for business insights
• Perform exploratory data analysis (EDA) on sales performance, inventory, and operations
• Build and maintain forecasting models
• Translate complex analytics into actionable business insights

Data Governance & Stewardship

• Own data definitions, lineage, and quality standards for key domains
• Develop and maintain data dictionaries, glossaries, and lineage documentation
• Define and monitor data quality rules, triage and resolve issues
• Ensure AI outputs are traceable to trusted data sources

AI & Automation

• Design and deploy AI agents / LLM-powered workflows for governance and analytics
• Automate workflows such as metadata management, lineage tracking, and data quality monitoring
• Work with GenAI tools and agent-based frameworks

• 5+ years of experience in Data Science / Data Engineering / Analytics
• Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels)
• Experience with data governance (data quality, metadata, stewardship)
• Hands-on experience with GenAI / LLMs / AI agents
• Experience with data pipelines (Airflow, dbt, Spark, etc.)
• Familiarity with knowledge graph technologies (RDF, Neo4j)
• Strong analytical, problem-solving, and communication skills

Preferred Skills:

• Experience with multi-agent frameworks (LangGraph, CrewAI, Claude SDK)
• Knowledge of ontology design / entity resolution
• Experience with DAMA-DMBOK or similar governance frameworks
• Familiarity with graph query languages (Cypher, SPARQL)
• Experience with cloud platforms (Snowflake, BigQuery, Databricks)