Data Governance & Stewardship Assurance Lead

EY

Cleveland (OH)

In loco

USD 120.000 - 190.000

Tempo pieno

3 ore fa
Candidati tra i primi

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Descrizione del lavoro

EY is seeking an Associate Director in the Global Data Stewardship Office to design and operate governance monitoring, evidence and stewardship capabilities. The role delivers dashboards, attestations, and remediation workflows while aligning with governance requirements across data ownership, metadata, lineage, data quality and responsible data use.

Collaborate with business, data, and technology stakeholders to apply product management practices from discovery through deployment, adoption and

Competenze

  • Experience designing governance monitoring capabilities and evidence models.
  • Ability to translate policy/control requirements into traceable monitoring rules.
  • Strong understanding of data ownership, lineage, quality and stewardship.

Mansioni

  • Establish continuous governance monitoring, evidence and assurance capability.
  • Define governance measures, thresholds, and reporting rules.
  • Assess whether accountabilities, metadata and lifecycle controls are embedded and operating.
  • Translate control objectives into test procedures and remediation actions.
  • Validate attestations and analyze risk indicators.
  • Coordinate remediation actions with accountable owners and track progress.
  • Define role profiles and learning pathways for Data Owners and Data Stewards.
  • Configure evidence integrations and data provenance across platforms.
  • Engage stakeholders to translate needs into requirements and roadmaps.

Conoscenze

Governance monitoring
Data governance
Stakeholder engagement
Product management

Descrizione del lavoro

EY is seeking an Associate Director in the Global Data Stewardship Office to design and operate governance monitoring, evidence and stewardship capabilities. The role delivers dashboards, attestations, and remediation workflows while aligning with governance requirements across data ownership, metadata, lineage, data quality and responsible data use.

Collaborate with business, data, and technology stakeholders to apply product management practices from discovery through deployment, adoption and

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