Manager, Data Operations & Management

Position Summary:

Data Accessibility Engineering Support: Manager, Data Operations & Management: As the Manager of Data Accessibility Engineering Support, you will play a critical role in ensuring that enterprise data is secure, discoverable, and accessible for advanced analytics, AI / ML, and operational use. You will oversee the implementation and support of data governance tooling, metadata management, and access controls across cloud-native platforms. This role is hands-on and strategic—ensuring compliance with organizational policies while enabling scalable data accessibility across GCP, AWS, Big Query, Redshift, and other modern data environments here.

Primary Responsibilities:

Data Accessibility & Governance Enablement:

• Lead the implementation and support of data accessibility solutions, ensuring efficient access to governed and trusted data assets.
• Oversee data governance tools and platforms (e.g., Collibra) for metadata management, lineage, and policy enforcement.

Cloud Platform Integration:

• Design and implement data accessibility frameworks for GCP and AWS environments, with a strong focus on Big Query, Redshift, and cloud-native storage layers (GCS / S3).

AI / ML Support & Lifecycle Management:

• Partner with AI / ML teams to support model lifecycle management through reliable access to training and scoring datasets.
• Ensure data quality and accessibility standards are embedded in MLOps workflows and pipelines.

Data Quality, Policy & Compliance:

• Implement and monitor enterprise data quality frameworks to support regulatory compliance and business confidence.

Cross-Functional Collaboration & Support:

• Work closely with data stewards, data engineers, data scientists, and compliance teams to continuously improve data operations.

Qualifications

• 7 to 11 years of experience in data operations, data governance, or data quality engineering roles.

Data governance platforms, especially Collibra with recent 3+ years.

• Metadata management, cataloging, and data technical lineage.
• Hands-on experience with Workflow and REST API’s (Groovy and Python) programming languages.
• AI / ML data workflows and supporting structured / unstructured data access for model training and inferencing Preferred [AI Governance].
• Cloud platforms: Google Cloud Platform (GCP), Amazon Web Services (AWS).
• Data warehouses: Big Query, Redshift (and / or Snowflake).
• SQL and enterprise-scale ETL / ELT pipelines.
• Strong analytical and problem-solving skills in large-scale, distributed data environments.
• Familiarity with data security, privacy regulations, and compliance standards (e.g., GDPR, CCPA).
• Excellent collaboration and communication skills across technical and non-technical teams.
• Bachelor’s or master’s degree in data science, Information Systems, Computer Science, or a related field.

Preferred Experience:

• Experience in Retail or QSR environments with complex multi-region data access needs.
• Exposure to enterprise data catalogs, automated data quality tooling, and access request workflows.
• Current GCP Associates (or Professional) Certification