Senior Director, Data Governance
New
P
Precisely Software IncorporatedData Integrity Software
100% remote anywhere in the USFull-TimeDirector
Salary not disclosed
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Job Details
- Experience
- 12+
- Required Skills
- SalesforceSnowflakeGenerative AIRisk Management
Requirements
- Bachelor's degree in Information Systems, Computer Science, Data Management, Business, Engineering, or a related discipline.
- 12+ years in data management, enterprise governance, risk, data strategy, or adjacent disciplines, including senior leadership in a complex, matrixed organization.
- Demonstrated success designing and operating enterprise data governance programs, including governance councils, a Data Governance Office, stewardship networks, and federated accountability.
- Expertise in policy and standards development, data ownership, stewardship, MDM, metadata, data quality, issue management, classification, privacy, and lifecycle governance.
- Working knowledge of Salesforce data models, objects, workflows, governance controls, and security concepts.
- Understanding of Snowflake, enterprise data warehouses, APIs, integration patterns, data pipelines, and modern data architectures.
- Ability to connect governance priorities to business processes and outcomes in commercial domains such as accounts, products, contracts, leads, sales, and quote-to-cash.
- Proficiency in applying generative AI tools (e.g., Microsoft Copilot, ChatGPT) in day-to-day workflows.
- Experience aligning data governance, responsible AI, privacy, security, records, legal, and compliance stakeholders.
- Minimal travel required (approximately 5%).
Responsibilities
- Own the enterprise data governance strategy, charter, policy framework, standards library, decision rights, and multi-year roadmap.
- Lead the Data Governance Office as the operational center for cross-domain planning, issue triage, policy implementation, KPI monitoring, and escalation.
- Shape agendas and decision materials for the Data Governance Council, bringing forward cross-company priorities, policy approvals, exceptions, risks, and investment decisions.
- Build and sustain the network of executive data owners, business data stewards, operational data stewards, and technical data stewards across the organization.
- Define stewardship roles, RACI models, meeting cadences, escalation paths, service expectations, and evidence requirements that make accountability visible and durable.
- Create enterprise standards for data quality, metadata, business definitions, classification, access, retention, lifecycle management, privacy, and appropriate use.
- Partner with technical teams to translate policies and standards into scalable controls, automated workflows, monitoring, and operational processes.
- Participate in architecture and design reviews to ensure governance requirements are measurable, technically feasible, and incorporated into solution designs.
- Facilitate resolution of cross-domain issues where ownership, definitions, process, system behavior, or risk requirements conflict.
- Partner with Sales, Revenue Operations, Product, Finance, Legal, Privacy, Security, Enterprise Applications, Data Engineering, and the Enterprise PMO to align governance with business priorities.
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