Genesys empowers organizations of all sizes to improve loyalty and business outcomes by creating the best experiences for their customers and employees. Through Genesys Cloud, the AI-powered Experience Orchestration platform, organizations can accelerate growth by delivering empathetic, personalized experiences at scale to drive customer loyalty, workforce engagement, efficiency and operational improvements.
We employ more than 6,000 people across the globe who embrace empathy and cultivate collaboration to succeed. And, while we offer great benefits and perks like larger tech companies, our employees have the independence to make a larger impact on the company and take ownership of their work. Join the team and create the future of customer experience together.
ABOUT THE ROLE
The Manager, Data Platform Governance & Operations leads the implementation and day-to-day operation of governance frameworks across Genesys’ enterprise data platforms. This role ensures that data is trusted, discoverable, secure, and efficiently managed by defining and enabling governance controls embedded into enterprise data platforms such as Snowflake, Databricks, and Tableau.
You will partner with platform, engineering, and domain teams to operationalize data governance at scale, balancing enablement and guardrails, while improving data accessibility, compliance visibility, and cost efficiency across the ecosystem.
WHAT YOU’LL DO
Data Governance Operations
- Operationalize enterprise data governance standards by defining and driving adoption of workflows, policies, and controls across data platforms to ensure secure and compliant data access
- Define and govern RBAC models and access workflows in partnership with platform teams, and audit mechanisms to improve data security and reduce unauthorized access risks
- Monitor governance adherence through metrics and reporting, identifying gaps in compliance, ownership, and data quality
Platform Governance & Enablement
- Partner with data platform teams to embed governance capabilities (catalog, lineage, access controls) into Snowflake, Databricks, and related tooling
- Enable governed self-service data access by defining standardized data publishing, certification, and metadata requirements for data products
- Support onboarding of new teams and data domains by guiding governance adoption and platform best practices without assuming ownership of domain data
Data Catalog, Stewardship & Insights
- Own the operation and continuous improvement of the enterprise data catalog, ensuring accurate metadata, lineage, and discoverability of data assets
- Establish and scale data stewardship practices, enabling domain teams to manage data ownership, certification, and lifecycle accountability
- Provide insights into governance maturity, platform usage, and cost trends to inform leadership decisions and optimize platform investments
WHAT YOU BRING
Required Qualifications
- Experience leading data governance, data platform operations, or data management programs in a cloud-based environment
- Strong knowledge of modern data platforms (e.g., Snowflake, Databricks, or similar) and governance capabilities such as cataloging, lineage, and access control
- Experience implementing RBAC, data access workflows, and governance automation at scale
- Ability to partner with engineering, data, and business teams to drive adoption of governance standards
- Experience using data to measure platform usage, compliance, and operational effectiveness
Preferred Qualifications
- Experience with enterprise data catalog tools (e.g., Alation, Collibra, or similar)
- Familiarity with AI/ML data governance considerations, including model inputs, lineage, and responsible data usage
- Experience in SaaS or enterprise technology environments with distributed data ownership models
- Education Qualification – B.Tech/B.E (or comparable qualifications)
- 8-10 years of experience in similar roles
KEY SKILLS
- Data Governance & Compliance
- Data Platform Operations (Snowflake, Databricks)
- Access Control & RBAC Models
- Data Catalog & Metadata Management
- Cross-functional Stakeholder Collaboration
- Technical Skills,
- SQL
- Data Modelling
- Cloud technologies - AWS, Snowflake preferred
- Python, Pyspark
BUSINESS IMPACT
- Increases trust and adoption of enterprise data by enabling discoverable, certified, and governed data products
- Reduces security, compliance, and cost risks through standardized governance controls and visibility across platforms
- Accelerates delivery of data and AI initiatives by enabling scalable, self-service access to high-quality data
#LI-GR1
#LI-Hybrid
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About Genesys:
Genesys® empowers more than 8,000 organizations worldwide to create the best customer and employee experiences. With agentic AI at its core, Genesys Cloud™ is the AI-Powered Experience Orchestration platform that connects people, systems, data and AI across the enterprise. As a result, organizations can drive customer loyalty, growth and retention while increasing operational efficiency and teamwork across human and AI workforces. To learn more, visit www.genesys.com.
Reasonable Accommodations:
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Genesys is an equal opportunity employer committed to fairness in the workplace. We evaluate qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity or expression, marital status, domestic partner status, national origin, genetics, disability, military and veteran status, and other protected characteristics.
Please note that recruiters will never ask for sensitive personal or financial information during the application phase.
