Manager, Data Platform Governance & Operations

Jobgether; India; Hybrid; INR 2,500,000 - 4,000,000; Full time

Job summary

Jobgether in India is seeking a Manager, Data Platform Governance & Operations to lead enterprise data governance across Snowflake, AWS, and modern data platforms, shaping security, compliance, and cost management.

You will mentor a high-performing governance engineering team and collaborate with engineering, security, finance, AI/ML, and business stakeholders to enable secure self-service data access while driving governance as a business enabler.

Qualifications

• 8+ years in data governance or data platform ops.
• 3+ years in leadership roles or people management.
• Experience building enterprise governance programs in AWS/Azure/GCP.
• Deep Snowflake governance knowledge (RBAC, masking, security).
• Knowledge of data catalogs and metadata management.
• Experience with AI/ML governance and Snowpark ML.

Responsibilities

• Define and evolve enterprise data governance strategy across Snowflake, AWS and platforms.
• Own governance architecture ensuring security, cost control and scalability.
• Embed governance in platform engineering with RBAC, network security and masking policies.
• Lead AI/ML governance initiatives including data lineage and responsible data-use policies.
• Operationalize policies via automated controls, monitoring and compliance validation.
• Oversee SOX/controls, audit evidence, and segregation-of-duties monitoring.
• Manage data catalog, data lineage, PII tagging and stewardship.
• Provide leadership visibility into governance posture and ROI to execs.
• Drive adoption of governed data products and self-service access across domains.
• Partner with Data Eng, Security, Finance, AI/ML and business stakeholders.

Skills

Data governance

Leadership / people mgmt

Cloud governance

Security & compliance

Cost optimization

RBAC & access control

AI/ML governance

Stakeholder management

Terraform / IaC

Metadata management

Tools

Alation

Collibra

Terraform

Iceberg

Snowpark ML

Job description

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Manager, Data Platform Governance & Operations based in India.

This is a strategic leadership role responsible for building and scaling enterprise data governance across Snowflake, AWS, and modern data platforms. You will lead a high-performing technical team while shaping governance strategy, platform architecture, compliance, and cost management. The role sits at the intersection of data governance, platform engineering, security, and organizational leadership. You will enable secure, self-service access to data while ensuring governance becomes an accelerator for analytics and AI rather than a barrier. The position offers significant influence over platform economics, AI/ML data governance, and enterprise data culture. You will work closely with engineering, security, finance, compliance, AI/ML, and business stakeholders in a fast-moving technology environment.

Accountabilities:

• Define and evolve the enterprise data governance strategy, covering RBAC, compliance frameworks, platform security, cost optimization, self-service access, and AI/ML governance maturity.
• Own the governance architecture for Snowflake, AWS, and emerging data platforms, ensuring strong security, compliance, cost efficiency, and operational scalability.
• Partner with platform and engineering teams to embed governance capabilities such as role-based access, network security, data masking, and Iceberg integration into enterprise data environments.
• Establish governance foundations for AI and ML initiatives, including model governance, AI data lineage, responsible data-use policies, and management of Snowpark ML assets.
• Operationalize governance standards through automated policies, controls, monitoring, reporting, and continuous compliance validation.
• Lead SOX and related compliance activities, including access controls, audit evidence, segregation-of-duties monitoring, and automated compliance processes.
• Oversee data catalog and metadata governance, ensuring accurate lineage, PII classification, masking policies, stewardship practices, and data-domain accountability.
• Establish governance monitoring and reporting capabilities to identify anomalies, measure compliance posture, and provide leadership with actionable visibility.
• Own Snowflake and AWS platform economics, including warehouse sizing, compute optimization, cost attribution, chargeback models, resource monitoring, and cost-reduction initiatives.
• Measure and communicate platform ROI, governance effectiveness, audit-risk reduction, compliance improvements, and cost trends to senior leadership.
• Build, mentor, and scale a high-performing governance engineering team, including hiring senior technical talent, defining career paths, supporting performance development, and fostering continuous learning.
• Provide technical leadership through architecture reviews, code reviews, technical problem-solving, and governance design decisions.
• Drive adoption of governed data products and self-service access models across internal teams and data domains.
• Partner with Data Engineering, Security, Finance, AI/ML, and business stakeholders to ensure governance priorities align with broader technology and organizational objectives.
• Establish scalable governance practices that can support increasing data consumption and organizational growth while maintaining strong security and compliance guardrails.

Requirements:

• 8+ years of experience in data governance, data platform operations, data management, or a closely related discipline, including 3+ years in people leadership or a senior technical leadership role.
• Demonstrated experience building and scaling enterprise governance programs in cloud environments such as AWS, Azure, or GCP.
• Proven ability to hire, mentor, develop, and lead technical teams, with experience in performance management and organizational development.
• Deep knowledge of Snowflake architecture and governance, including RBAC design, functional and access roles, row-level security, data masking, network and authentication policies, resource optimization, and cost controls.
• Strong AWS expertise, including S3, IAM, governance integrations, and multi-engine data architectures involving technologies such as Iceberg, Athena, and Spark.
• Enterprise compliance experience with SOX, SOC 2, or equivalent frameworks, including access controls, audit evidence, segregation of duties, and continuous compliance automation.
• Strong understanding of data catalogs and metadata management platforms such as Alation, Collibra, or comparable technologies, including lineage, PII tagging, and stewardship models.
• Knowledge of modern data platforms such as Databricks and their governance capabilities, including cataloging, lineage, and access control.
• Experience with Snowflake AI/ML capabilities such as Cortex, Agents, and Snowpark ML, and an understanding of governance requirements for AI data pipelines.
• Experience with platform economics, including cost attribution, chargeback models, resource optimization, and ROI measurement for data-platform investments.
• Familiarity with Terraform or comparable Infrastructure-as-Code technologies for governance automation and policy enforcement.
• Experience operating in enterprise SaaS or similarly distributed environments with decentralized data ownership, self-service models, and rapid organizational scaling is preferred.
• Strong strategic thinking, stakeholder-management, communication, and influencing skills, with the ability to balance governance, business enablement, security, and innovation.
• Servant-leadership mindset with a strong focus on mentoring, collaboration, empathy, and developing technical talent.

Benefits:

• Flexible-first working environment with remote and hybrid ways of working.
• Opportunity to lead enterprise-scale data governance and platform initiatives supporting thousands of data consumers.
• Exposure to modern technologies across Snowflake, AWS, Databricks, Iceberg, AI/ML, and cloud data platforms.
• Opportunities to shape AI/ML governance and responsible data practices as emerging technologies evolve.
• Professional growth through mentorship, learning programs, leadership development, and education support.
• Opportunity to hire, develop, and grow a high-performing technical governance organization.
• Paid volunteer time and company-wide initiatives designed to support time for recharge and community involvement.
• Well-being resources and regionally tailored programs supporting employees and their families.
• Opportunity to work within a global, flexible-first technology culture focused on innovation, collaboration, and continuous improvement.
• Significant strategic influence over platform architecture, governance maturity, cost efficiency, and enterprise data culture.