Director, Data Trust

Director Of Data Trust

The Director of Data Trust is responsible for establishing and operating the enterprise framework that determines who is accountable for data, and how decisions about data are made. What standards apply, and how governance is embedded into day-to-day business processes. The enterprise framework enables trusted, secure, and compliant use of data across Cetera. This leader operationalizes data trust by integrating governance, metadata, stewardship, data policy, privacy, and security practices into the organization's data lifecycle and operating model.

The role also leads data quality governance, master data governance, business data stewardship, and governance change management to strengthen business ownership, accountability, adoption, and business value.

As a leader within the Data and Analytics organization, this role partners closely with peer leaders responsible for Data Architecture, Data Quality, Master Data Management, and Business Intelligence & Analytics to ensure enterprise data is trusted, protected, discoverable, and fit for business, regulatory, analytical, and AI use.

Success is measured through improved confidence in enterprise data, stronger governance adoption, reduced data risk, and increased business value from trusted information assets.

Primary MissionThe Director of Data Trust ensures enterprise data is trusted by business users, governed with clear ownership and accountability, protected by enterprise security standards, and managed in line with privacy regulations. This role drives adoption of data governance and stewardship practices while fostering a culture of business ownership and data-driven decision-making.

Key Responsibilities

Enterprise Data TrustEstablish and lead the enterprise Data Trust capability, including governance, metadata management, business glossary, data lineage, stewardship, and policy management to improve confidence in enterprise data.

Governance Operating ModelDevelop and mature an enterprise data governance frameworks including data governance policy, standards, decision rights, and stewardship practices that define roles and responsibilities and support consistent data governance across Data Architecture, Data Quality, Master Data Management, Analytics, and business organizations that produce and consume data. Specifically:

• Define the governance structure—Data Governance Council/Office, domain governance, data owners, data stewards, and working groups—and establish RACIs, escalation paths, approval authorities, issue-resolution processes, and governance forums.
• Identify and onboard business data owners and stewards; define their responsibilities; establish stewardship processes; provide training and templates. Accountability for stewardship is a core data-management principle.
• Lead development and adoption of enterprise data policies and standards.
• Establish the governance side of DQ: who defines and approves business DQ expectations, how critical data is prioritized, how issues are escalated, how remediation accountability works, and how DQ performance is reported.
• Establish the decision process through which business owners approve terms, definitions, policies, and standards.
• Define how governance issues are raised, classified, assigned, escalated, resolved, and tracked.
• Establish KPIs to measure the success of data governance programs.

Establish governance practices for Business Data Owners and Data Stewards, facilitate stewardship forums to prioritize requirements, resolve cross-domain ownership and accountability issues, and ensure governance, data quality, and master data management practices are aligned with enterprise priorities, strategic initiatives, and business value.

Data Security & Privacy PartnershipPartner…