Data Governance Assurance – Associate Director

. Establish continuous governance monitoring, evidence and assurance capability .

Posted 11/12/2026full-timeDallas • Texas • United StatesSenior💰 $150,000 - $297,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in data governance, risk management, and assurance capabilities, with a strong focus on translating governance requirements into actionable monitoring rules and evidence models. Proficient in stakeholder engagement and product management practices to enhance governance effectiveness and drive measurable improvements.

Highest-signal resume keywords

Data Governance ExpertiseRisk Management SkillsEvidence Validation and AnalysisStakeholder EngagementProduct Management Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Quality ManagementMetadata ManagementControl Design and TestingSQL or ScriptingEvidence Collection AutomationMonitoring Rule ConfigurationRoot-Cause AnalysisData StewardshipGovernance Framework ImplementationRisk-Based Monitoring

Soft Skills

Analytical JudgementProfessional ScepticismFacilitation SkillsConcise Report WritingInterviewing Skills

Tools & Technologies

Microsoft PurviewDatabricks Unity CatalogCollibraInformatica IDMCAlationAtlanGRC PlatformsCloud Data PlatformsWorkflow Automation ToolsAnalytics Tools

Certifications & Qualifications

DAMA CDMPCIAISACA CRISC

Industry Keywords

Data GovernanceData RiskAssuranceData QualityComplianceMetadataData LineageBusiness GlossariesPrivacy and SecurityThird-Party Data Management

Tech Stack

Tools & technologies

CloudInformaticaSQLUnity

About the role

Key responsibilities & impact

Establish continuous governance monitoring, evidence and assurance capability
Define and configure governance measures, indicators, thresholds, reporting rules and risk-based monitoring plans
Translate approved policies and control requirements into traceable monitoring rules and metadata
Assess whether accountabilities, decision rights, metadata, lineage, data-quality and lifecycle controls are embedded and operating
Define test procedures, sampling approaches, evidence standards, rating criteria and escalation thresholds
Validate self-assessments and attestations and analyse risk, control and performance indicators
Identify systemic gaps and root causes, track findings, agree remediation actions, validate closure evidence and escalate overdue or material issues
Define Data Owner and Data Steward role profiles, competencies, guidance, learning pathways and communities of practice
Configure and validate evidence integrations from governance platforms, catalogues, lineage, data-quality, workflow and issue-management sources
Conduct discovery with business, quality, data and technology stakeholders to understand needs
Translate needs into requirements, roadmaps, prioritised backlogs, user stories and acceptance criteria
Evaluate platforms and deliver proofs of concept and scoped implementations for monitoring, automated evidence, dashboards, attestations and remediation workflows
Configure evidence and metadata models, monitoring rules, workflows, escalation pathways and auditable decision records
Execute configuration and integration tests, coordinate user acceptance testing and defect resolution
Prepare release, rollback, support and implementation documentation and support approved release, adoption and handover
Track business value, adoption and control effectiveness and use findings and feedback to improve capabilities
Report concise governance insights and prioritised improvement actions to stakeholders and governance forums
Provide second-line challenge, facilitate agreement, resolve dependencies and escalate decisions outside delegated authority
Maintain second-line independence and arrange independent review where self-review conflicts arise

Requirements

What you’ll need

Bachelor’s degree or equivalent tertiary qualification in data or information management, information systems, computer science, software or data engineering, business, risk, audit, accounting or a related discipline, or equivalent substantial professional experience
8 or more years of relevant experience across data governance, data risk, controls, assurance, stewardship, data quality or monitoring
Deep expertise in modern data governance, federated operating models, Data Owner and Data Steward accountabilities and decision rights
Strong knowledge of data domains, critical data elements, business glossaries, metadata, lineage, catalogues, data quality and observability
Working knowledge of classification, access, privacy, security, records, retention, data sharing, third-party and cross-border data, and responsible data and AI governance
Expertise in policy-to-control traceability, risk and control self-assessment, control design and operating-effectiveness testing, sampling and evidence evaluation
Experience with management attestation, issue rating, root-cause analysis, remediation validation, governance maturity assessment and executive reporting
Hands-on capability in at least one enterprise governance, monitoring, analytics, workflow or GRC platform
Ability to model evidence and metadata, configure dashboards, monitoring rules and attestation or remediation workflows, and automate evidence collection and escalation
Practical technical knowledge of cloud data platforms, source-system APIs, connectors and evidence pipelines
Ability to validate metadata, indicators and evidence and diagnose data or integration issues using appropriate platform, query or analytics tools
Ability to translate business needs and governance requirements into functional and non-functional requirements, technical specifications, user stories, evidence schemas, monitoring rules, workflows and acceptance criteria
Strong applied product management skills in discovery, roadmap development, backlog prioritisation, dependency and trade-off management, iterative delivery, release planning, adoption and business-value measurement
Ability to apply version control, environment separation, configuration and integration testing, defect management, least-privilege access and secure handling of credentials and sensitive evidence
Strong analytical judgement, professional scepticism, facilitation, interviewing, concise report writing and root-cause analysis
Applied knowledge of DAMA-DMBOK and/or EDM Council DCAM
Demonstrated experience designing or operating risk-based monitoring, evidence, findings and remediation processes in a complex enterprise
Experience translating governance and control requirements into data-source specifications, monitoring thresholds, test procedures, evidence standards, rating criteria and escalation thresholds
Hands-on implementation experience with at least one enterprise governance, monitoring, analytics, workflow or GRC platform is essential
Experience using SQL or scripting for evidence validation, analysis or automation is desirable but not mandatory
Experience with Microsoft Purview, Databricks Unity Catalog, Microsoft Fabric/OneLake, Collibra, Informatica IDMC, Alation or Atlan is advantageous or valued
Experience applying product management practices to governance monitoring, evidence or stewardship capabilities
Evidence of measurable improvements from technology-enabled governance
Experience defining stewardship role profiles, competencies, guidance, learning pathways and effectiveness measures
Experience engaging business, data and technology stakeholders across a global, federated organisation
Relevant credentials such as DAMA CDMP, CIA or ISACA qualifications such as CRISC are advantageous but not mandatory

Benefits

Comp & perks

Medical and dental coverage
Pension and 401(k) plans
Flexible vacation policy
EY Paid Holidays
Winter/Summer breaks
Personal/Family Care leave
Other leaves of absence
Professional growth
Inclusive culture
Reasonable accommodation for qualified individuals with disabilities