Lead Enterprise Data Steward

** Become a part of our caring community*
* Lead, Enterprise Data Governance serves as a dedicated Data Steward responsible for the day-to-day operational oversight of assigned data assets and plays a key role in ensuring data quality, integrity, usability, and proper use across the organization. This position partners with business and technical teams to drive metadata management standards, strengthen data governance processes, and scale stewardship practices enterprise-wide.

The LEAD Data Steward works to analyze complex data issues, assess business and risk impacts, recommend solutions, and advocate for responsible data management across the enterprise.

** Key Responsibilities*
* ** Operational Data Stewardship*
* You will perform hands-on stewardship activities for assigned data assets. Accountability is specific to assigned assets, with stewardship responsibilities measured by metadata completeness, data quality outcomes, risk reduction, and time to resolution.

+ Define, validate, and curate business and technical metadata for assigned data assets, including business definitions, critical data elements, lineage, reference data, data dictionaries, quality rules, ownership, and approved usage context.

+ Maintain metadata and stewardship artifacts in enterprise governance tools, including business glossary terms, data catalog entries, lineage documentation, issue records, ownership assignments, and approval workflows.

+ Ensure metadata accuracy and completeness through regular review cycles, validation with supporting SMEs, and alignment to enterprise standards.

+ Monitor data quality indicators, assess impacts to downstream use cases, triage issues based on severity and business impact, and coordinate remediation across business, IT, analytics, operations, product, and vendor teams.

+ Perform or coordinate root-cause analysis for recurring or high-impact data quality issues and recommend preventive controls, process changes, ownership clarification, or system remediation.

+ Interpret enterprise data governance policies, standards, and controls as they apply to assigned assets, including data classification, sensitivity, privacy, access, retention, and responsible use requirements.

+ Facilitate policy exception, data access, and data use reviews by assessing risk, documenting rationale, coordinating approvals, and tracking compensating controls where required.

+ Support trusted data use for reporting, analytics, data products, automation, and AI-enabled initiatives by ensuring assigned assets are well-defined, quality-monitored, traceable, and aligned to approved business context.

+ Actively participate in domain-based governance and stewardship working groups, representing assigned data assets and escalating risks, decisions, and improvement opportunities.

+ Partner with Data Owners, Product Owners, Architects, and domain leaders to align stewardship priorities to domain roadmaps and enterprise initiatives.

** Enterprise Stewardship Enablement*
* + Collaborate with department leaders, analysts, system owners, SMEs, and technology partners to promote stewardship practices across the enterprise.

+ Support the development and continuous improvement of stewardship standards,, procedures, templates, intake processes, escalation paths, role definitions, and performance measures.

+ Help mature the enterprise stewardship operating model, including RACI alignment, decision rights, governance forums, stewardship workflows, and issue-management practices.

+ Facilitate knowledge sharing and help socialize stewardship roles, responsibilities, standards, and processes across teams.

+ Contribute to the scaling of an enterprise data stewardship community through training, documentation, onboarding materials, process guidance, and practical examples.

+ Compile and analyze data quality metrics and stewardship KPIs; produce reports and insights to highlight trends, risks, gaps, and improvement opportunities.

+ Conduct benchmarking, maturity assessments, stakeholder feedback reviews, and other evaluations to identify emerging data governance needs or gaps.

+ Provide strategic recommendations to leadership on data quality risks, governance priorities, stewardship, and opportunities to advance enterprise data effectiveness.

** Cross-Functional Collaboration & Leadership*
* + Partner with project teams to ensure data governance, data quality, metadata, privacy, security, and responsible-use principles are integrated into system implementations, enhancements, migrations, reporting solutions, and workflows.

+ Participate in or lead governance working groups, stewardship forums, data asset reviews, quality issue reviews, and cross-functional problem-solving sessions.

+ Facilitate discussions with business and technical stakeholders to resolve ambiguity, clarify definitions, align ownership, prioritize issues, and drive decisions.

+ Translate between business requirements and technical data concepts to ensure data standards, definitions, quality rules, and…