
Supervisor, Data Operations & Management
- Hyderabad, Telangana
- Permanent
- Full-time
- Set the strategic direction for enterprise data accessibility, ensuring consistent and secure access across teams and platforms.
- Lead the implementation and adoption of data governance tools (e.g., Collibra) to manage metadata, lineage, and data policies.
- Champion enterprise adoption of semantic and technical metadata practices for improved discoverability and data use.
- Oversee the availability, quality, and governance of data used for AI / ML model development and lifecycle management.
- Ensure that model training, validation, and deployment pipelines have reliable and timely access to governed datasets.
- Partner with MLOps, engineering, and product teams to embed data accessibility standards in model workflows.
- Oversee data accessibility initiatives in GCP and AWS, including integration with BigQuery, Redshift, and cloud-native storage.
- Develop strategies for managing access controls, encryption, and auditability of data assets across cloud environments.
- Define and enforce enterprise data quality standards, including data profiling, validation, and exception handling workflows.
- Ensure compliance with internal data policies and external regulations (e.g., GDPR, HIPAA, CCPA).
- Lead enterprise initiatives around data lifecycle management, from ingestion and processing to archival and retention.
- Lead and mentor a team of data operations professionals and collaborate with data engineering, governance, AI / ML, and compliance teams.
- Provide executive-level insights and recommendations for improving enterprise data accessibility, quality, and governance practices.
- Drive alignment between business units, technical teams, and compliance functions through effective data stewardship.
- 4 to 7 years of experience in data operations, data governance, or data quality management, with at least 3 years in a strategic leadership capacity.
- Collibra or similar data governance platforms
- Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS)
- Enterprise data warehouses such as Big Query, Redshift, or Snowflake
- AI / ML model lifecycle support and MLOps integration
- Data quality frameworks, metadata management, and data access policy enforcement
- SQL and enterprise-scale ETL/ELT pipelines
- Strong analytical and problem-solving skills; ability to work across highly matrixed, global organizations.
- Exceptional communication, leadership, and stakeholder management skills.
- Bachelors or Masters degree in Data Science, Information Systems, or a related field.
- Experience in Retail or Quick Service Restaurant (QSR) environments with operational and real-time analytics needs.
- Familiarity with data mesh concepts, data product ownership, and domain-based accessibility strategies.
- Experience navigating privacy, residency, or regulatory compliance in global data environments.
- Current GCP Associates (or Professional) Certification.