Senior Manager, Head of Data Governance

Job Description:

We are Omnissa!   
Omnissa is the first AI-driven digital work platform, built to support flexible, secure, work-from anywhere experiences. We integrate industry-leading solutions—including Unified Endpoint Management, Virtual  Apps and Desktops, Digital Employee Experience, and Security & Compliance—into a seamless, autonomous workspace that adapts to how people work. Our platform boosts employee engagement while optimizing IT operations, security, and cost.  
 
Guided by our Core Values—Act in Alignment, Build Trust, Foster Inclusiveness, Drive Efficiency, and Maximize Customer Value—we’re growing rapidly and committed to delivering meaningful impact. If you're passionate about shaping the future of work, we’d love to hear from you. 

What is the opportunity?

Omnissa is seeking a Senior Manager, Head of Data Governance to build and operationalize an enterprise-grade data governance function that underpins our growth, forecasting accuracy, and AI-driven future. This leader will define and enforce how data is owned, defined, governed, and trusted across the company—transforming fragmented data practices into a scalable, auditable, and business-aligned system. This role sits at the intersection of business operations, data architecture, and product telemetry, and is critical to enabling:

• Reliable executive reporting and forecasting
• Scalable GTM and renewals operations
• Enterprise AI and automation initiatives

Key Responsibilities

1. Build the Enterprise Data Governance Function

• Establish Omnissa’s data governance operating model, including:
  • Data ownership (business + technical)
  • Data stewardship framework
  • Governance forums and decision rights
• Develop and maintain a business data glossary (ARR, UFR, expansion, etc.)
• Define and enforce enterprise data standards and policies

2. Own Data Quality & Data Integrity at Scale

• Define data quality KPIs and SLAs for business-critical data
• Implement processes for:
  • Monitoring data health
  • Managing data issues and remediation workflows
• Partner with data engineering to embed data quality controls into pipelines

3. Establish a Trusted Data Foundation for Executive Decision-Making

• Ensure all executive reporting is based on certified, governed datasets
• Eliminate conflicting metric definitions across Finance, GTM, and Product
• Partner with stakeholders to create single sources of truth for key metrics

4. Enable AI & Data-Driven Automation

• Define requirements for AI-ready data architecture, including:
  • Metadata, lineage, and semantic consistency
• Support development of agentic workflows (e.g., account hierarchy logic, deal classification)
• Ensure governance frameworks support explainability and auditability

5. Implement and Operationalize Data Catalog & Governance Tooling

• Lead deployment and adoption of tools such as Atlan (or equivalent)
• Ensure:
  • Accurate data lineage
  • Asset certification workflows
  • Broad adoption across business teams
• Embed governance into daily workflows—not as a separate system

6. Lead Cross-Functional Alignment

• Partner closely with:
  • Finance
  • GTM Operations (Sales, Renewals)
  • Product & Engineering
• Resolve conflicts around:
  • Metric definitions
  • Data ownership
  • Reporting logic

Required Qualifications

• 8–12+ years of experience in data governance, data management, or analytics leadership
• Proven track record building data governance programs from the ground up
• Strong understanding of:
  • Data modeling and data architecture
  • Data quality frameworks
  • Metadata, lineage, and cataloging concepts
• Experience working with:
  • CRM systems (e.g., Salesforce)
  • Data warehouses (e.g., Snowflake or similar)
  • BI tools (e.g., Tableau, Power BI)
• Experience with modern data catalog / governance tools (e.g., Atlan, Informatica, Collibra)

Preferred Qualifications

• Experience in SaaS or subscription-based business models
• Familiarity with CPQ systems, renewals forecasting, and revenue operations
• Exposure to AI/ML or data-driven automation initiatives
• Experience in a federated data environment

Leadership & Execution Profile

• Operates as a builder, not a maintainer
• Balances strategic vision with operational rigor
• Strong ability to drive alignment across competing stakeholders
• Comfortable enforcing standards and holding teams accountable
• Translates technical concepts into business impact for executives

Success Metrics (First 6–12 Months)

• 100% of Tier 1 executive metrics governed and standardized
• Elimination of conflicting definitions for ARR, UFR, and key KPIs
• Measurable improvement in forecast accuracy and data trust
• Reduction in duplicate and redundant data assets
• Adoption of governed datasets across executive reporting

Location: Florida
Location Type: Remote
Travel Expectations: None 
Compensation: The typical base salary for this role is between USD $152,062 – $250,000 per year and it may be eligible for participation in a corporate bonus program. Actual compensation offer may vary from posted hiring range based upon geographic location, work experience, education, skill level, or other relevant factors. In addition to competitive compensation, Omnissa offers a variety of benefits such as employee ownership, health insurance, 401k with matching contributions, disability insurance, paid-time off, growth opportunities, and more.