Manager, Data Platform Governance & Operations
Genesys
IndiaremotePosted 15 days ago
Skill Required
Data-GovernanceData-Platform-OperationsData-ManagementPlatform-EngineeringSnowflake-AdministrationSenior-Data-Governance-ManagerData-Platform-Architecture-ManagerData-Governance-ManagerData-Platform-LeadData-Governance-Program-ManagerManager-Of-Data-ArchitectureData-Platform-Managerdata engineeringObservabilityDatabricksEngineeringautomationSnowflakeTerraformsimilar)securitybuildingAzuredesignISO 27001SparkCloudjQueryAWSGCPIAMandAIMachine LearningFulltime
Key highlights
- 8+ years of experience in data governance, data platform operations, or data management, with 3+ years in a people leadership or technical lead role
- Enterprise compliance experience (SOX, SOC 2, or equivalent)
- Deep knowledge of Snowflake platform architecture
- Own SOX compliance execution
- Team grows from 3 to 5 engineers
- Global team of nearly 7,000 employees
Role overview
The Manager, Data Platform Governance & Operations is the strategic and operational leader of enterprise data governance, responsible for building and scaling governance infrastructure across Snowflake, AWS, and emerging data platforms. This role bridges governance policy, platform engineering, and organizational leadership, owning the vision and execution of a code-first governance discipline, establishing data governance culture, managing platform economics, and leading hiring and mentorship of technical talent. Success means embedding governance as an enabler, not a blocker, across hundreds of internal and external data consumers.
Responsibilities
- Define and evolve the enterprise data governance strategy, including RBAC patterns, compliance frameworks, cost optimization, and AI/ML data governance maturity roadmap
- Own the Snowflake and AWS platform governance architecture, ensuring security, compliance, cost efficiency, and self-service enablement across environments
- Partner with platform and engineering teams to embed governance capabilities (RBAC, network security, data masking, Iceberg integration) into Snowflake, AWS, Athena, and emerging platforms
- Establish governance foundations for AI/ML initiatives, including Snowflake Cortex model governance, data lineage for AI pipelines, responsible data use policies, and Snowpark ML asset management
- Operationalize enterprise data governance standards through automation, policies, and controls across Snowflake and AWS platforms
- 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 across domains
- Monitor governance adherence and compliance posture through automated reporting, anomaly detection, and visibility dashboards
- Own Snowflake and AWS platform cost management, including warehouse sizing strategy, compute optimization, cost attribution models, and chargeback frameworks
- Establish cost observability through resource monitors, query tagging, and governance-driven cost reduction initiatives
- Measure and report on platform ROI, governance impact (audit reduction, compliance velocity), and cost trends to leadership
- Build and mentor a high-performing governance team, including hiring senior technical talent, defining career paths, and fostering a culture of continuous learning
- Partner with team members on platform architecture decisions, code reviews, and technical problem-solving
- Establish scalable governance practices that enable the team to grow from 3 to 5 engineers to support emerging organizational needs
- Drive adoption of governed data products and self-service access models across the organization
- Support onboarding of new teams and data domains through standardized governance patterns and best practices
- Manage cross-functional relationships with Data Engineering, Security, Finance, and business stakeholders to ensure governance decisions align with platform roadmap and organizational priorities
Requirements
- 8+ years of experience in data governance, data platform operations, or data management, with 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, performance management, and organizational development
- Deep knowledge of Snowflake platform architecture, including RBAC design (functional vs. access roles), row-level security, data masking, network policies, authentication 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 (Databricks) and governance capabilities such as cataloging, lineage, and access control
Nice to have
- Snowflake AI/ML governance: Experience with Cortex, Agents, Snowpark ML, and establishing governance for AI data pipelines
- Platform economics: Experience with cost attribution, chargeback models, and ROI measurement for data platform investments
- Infrastructure as Code: Familiarity with Terraform or equivalent for governance automation and enforcement
- Enterprise SaaS environment: Experience in organizations with distributed data ownership, self-service models, and rapid scaling
Benefits
- 150+ new AI features were released in the last fiscal year
- A flexible-first culture – Join a global team of nearly 7,000 employees with flexible ways of working designed to help people do their best work
- Growth in the AI era – Build future-ready skills through mentorship, learning programs, leadership development and education support
- Time to recharge and give back – Benefits include paid volunteer time, August Free Fridays, well-being resources and regionally tailored programs for employees and their families
- Recognized globally – Genesys is Great Place to Work® certified in 17 countries and 94% of employees are proud to tell others they work at Genesys
- Genesys is an equal opportunity employer committed to fairness in the workplace
Additional details
- Help build, support and operate technology used by more than 8,000 organizations in over 100 countries – moving AI from possibility to production in real-world enterprise environments every day
- This role bridges governance policy, platform engineering, and organizational leadership
- Key Collaborators: Data Engineering, Data Governance, SOX, AI/ML teams
- Working at Genesys: AI at enterprise scale
- Working at Genesys: Learn more about our culture, AI innovation and sustainability commitments through our Careers site and Sustainability Report
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