Manager, Data Platform Governance & Operations

About This Opportunity

We are representing a confidential enterprise SaaS organization seeking a Manager, Data Platform Governance & Operations to lead strategic governance initiatives across their cloud data infrastructure. This role is based in India and offers the opportunity to build and scale governance infrastructure serving thousands of internal and external data consumers.

As a strategic and operational leader, you will establish code-first governance discipline, manage platform economics, and lead a high-performing technical team. You'll bridge governance policy, platform engineering, and organizational leadership while partnering with data engineering, compliance, and AI/ML teams.

Responsibilities

• Define and evolve enterprise data governance strategy, including RBAC patterns, compliance frameworks, cost optimization, and AI/ML data governance maturity roadmap
• Own platform governance architecture across Snowflake and AWS environments, ensuring security, compliance, cost efficiency, and self-service enablement
• Establish governance foundations for AI/ML initiatives, including model governance, data lineage for AI pipelines, and responsible data use policies
• Operationalize data governance standards through automation, policies, and controls
• Own SOX compliance execution, including access controls, audit evidence generation, segregation-of-duties monitoring, and continuous compliance validation
• Manage data catalog operations and metadata governance, ensuring accurate lineage, PII tagging, data masking policies, and stewardship practices
• Own Snowflake and AWS platform cost management, including warehouse sizing strategy, compute optimization, cost attribution models, and chargeback frameworks
• Build and mentor a governance team, including hiring senior technical talent, defining career paths, and fostering continuous learning
• Drive adoption of governed data products and self-service access models across the organization
• Manage cross-functional relationships with engineering, security, finance, and business stakeholders

What We're Looking For

Required Leadership Experience:

• 8+ years of experience in data governance, data platform operations, or data management
• 3+ years in a people leadership or technical lead role
• Track record building and scaling governance programs in cloud-based environments (AWS, GCP, or Azure)
• Demonstrated ability to lead and mentor technical teams, with experience in hiring and performance management

Required Technical Expertise:

• Deep knowledge of Snowflake platform architecture, including RBAC design, row-level security, data masking, network policies, resource optimization, and cost controls
• AWS cloud proficiency, including S3, IAM, governance integrations, and multi-engine data architectures (Iceberg, Athena, Spark)
• Enterprise compliance experience (SOX, SOC 2, or equivalent); expertise in access controls, audit evidence, and continuous compliance automation
• Data catalog and metadata management expertise (Alation, Collibra, or similar); ability to design and oversee stewardship practices
• Knowledge of modern data platforms and governance capabilities such as cataloging, lineage, and access control

Preferred Expertise:

• Snowflake AI/ML governance experience with Cortex, Agents, Snowpark ML, and AI data pipelines
• Platform economics experience with cost attribution, chargeback models, and ROI measurement
• Infrastructure as Code familiarity with Terraform or equivalent for governance automation
• Enterprise SaaS environment experience with distributed data ownership and self-service models

How We Work With You

When you apply through Get A Job.ai, our talent team will review your qualifications and conduct an initial screening. If there's a strong match, we will submit your profile to our client for consideration. Throughout the interview process, we serve as your advocate and main point of contact.

Please note: candidates should not contact the client directly. All communication regarding this opportunity should go through Get A Job.ai to ensure proper coordination and the best candidate experience.

Pay

Compensation details will be discussed during the screening process based on experience and qualifications.

Equal Opportunity: Get A Job.ai is committed to fair and equitable recruiting practices. We evaluate all candidates based on qualifications and merit, without regard to race, color, religion, sex, national origin, age, disability, or other protected characteristics.