Lead Data Governance; GCP & GenAI

Must Have Technical/Functional Skills

1. GCP Expertise Strong hands-on experience with GCP data services (Big Query, Dataflow, Dataproc, Cloud Storage, IAM) and cloud-native data architectures.
2. Data Governance & Migration Proven experience leading enterprise-scale data migration and implementing governance frameworks (metadata, lineage, quality, cataloging).
3. Knowledge Graphs & Semantic Search Deep understanding of graph data models, ontology design, RDF/SPARQL, and building semantic discovery solutions.
4. GenAI & AI Enablement Experience leveraging GenAI/LLMs for data discovery, metadata enrichment, automation, and intelligent search use cases.
5. Python & Automation Strong Python programming skills for building data pipelines, governance automation, APIs, and workflow orchestration.

Roles & Responsibilities
Architect Enterprise Data Governance Design and implement scalable governance frameworks to improve data quality, lineage, compliance, and discoverability across platforms.
Lead GCP-Based Data Modernization Drive cloud data migration and build robust, enterprise-grade data architectures on GCP.
Enable Semantic & AI-Driven Discovery Implement knowledge graphs and GenAI-powered semantic search to enhance data accessibility and insights.
Cross-Functional Leadership Partner with engineering, data, compliance, and business teams to align governance strategy with enterprise objectives.