Data Product & Asset Governance Associate Director

. Define the governance model for enterprise data products and assets, including ownership, stewardship, decision rights, lifecycle stages and evidence requirements .

Posted 11/12/2026full-timeHoboken • New Jersey • United StatesSenior💰 $150,000 - $337,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data governance, including defining governance models, establishing metadata standards, and implementing data quality measures. Proficient in translating stakeholder needs into actionable governance frameworks and managing complex data environments across cloud and analytics platforms.

Highest-signal resume keywords

Data Governance ExpertiseMetadata ManagementCloud Data PlatformsSQL and Python ProficiencyTechnology Product Management

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data GovernanceMetadata ModellingData Quality RulesWorkflow AutomationIntegration TestingData Contract ManagementGovernance Platform ConfigurationData LineageCertification Criteria DefinitionUser Story Translation

Soft Skills

Business EngagementFacilitation SkillsInfluencing Skills

Tools & Technologies

Microsoft PurviewDatabricks Unity CatalogMicrosoft FabricCollibraInformatica IDMCAlationAtlanAPIsAutomation ToolsCloud Data Platforms

Industry Keywords

Data StewardshipData DomainsData SharingAnalyticsAI EnablementDAMA DMBOKEDM Council DCAMCDMCData Risk StandardsFederated Operating Models

Tech Stack

Tools & technologies

CloudInformaticaPythonSQLUnity

About the role

Key responsibilities & impact

Define the governance model for enterprise data products and assets, including ownership, stewardship, decision rights, lifecycle stages and evidence requirements
Establish a common governance baseline covering purpose, authoritative source, metadata, classification, quality, lineage, access, permitted use, retention and monitoring
Create proportionate governance pathways based on asset type, risk, use, consumer and platform
Define criteria for product entry, certification, publication, service, health, change and retirement
Define data contract responsibilities between producers and consumers
Design, configure and validate workflows for registration, onboarding, discovery, access approval, sharing, reuse, certification, change and decommissioning
Conduct discovery with business stakeholders, Service Line Quality, data producers, consumers and Regional Data Stewards
Translate stakeholder needs into governance capability roadmaps, prioritised backlogs, user stories and functional and non-functional requirements
Agree priorities and dependencies with the Global Data Office, CTOs, CIOs and product and platform owners
Embed governance checkpoints and measurable acceptance criteria across discovery, design, build, release and operation
Execute configuration and integration testing, coordinate user acceptance testing, resolve defects and prepare release, rollback and support documentation
Evaluate governance platform capabilities and deliver proofs of concept and scoped implementations
Configure metadata models, certification criteria and approved rules
Implement supported API, connector or scripting-based integrations within authorised environments
Translate approved policy and business requirements into traceable, machine-readable governance rules and metadata
Assess product and asset health and define measures for adoption, trust, reuse, risk and value
Resolve ownership, authoritative source, product boundary, metadata, quality and control gaps
Exercise Associate Director-level judgement on unclear or disputed governance decisions
Balance speed, reuse, business value, trust and risk when setting governance requirements and sharing pathways
Recommend authoritative products, ownership models, semantic definitions, quality thresholds, certification criteria and transition actions
Assess implementation options, platform constraints, integration dependencies, maintainability and control effectiveness
Take responsibility for design, configuration, integration, testing and implementation evidence within delegated authority
Escalate decisions requiring policy, Data Owner, risk, enterprise architecture, security or platform approval
Provide specialist functional leadership and coordinate work across data, product, business and technology teams
Work globally with the Global Data Stewardship Office and partner functions including Global Data Office, Client Technology, Enterprise Technology, Information Security, Global Data Protection, General Counsel’s Office, Risk, Business Administration, Service Lines, Regions and EY member firms
Deliver assigned governance configurations, integrations and validation within approved policy, access, architecture, security and change controls
Coordinate specialist support and operational handover

Requirements

What you’ll need

Bachelor’s degree or equivalent tertiary qualification in information systems, computer science, software or data engineering, data science, or a related technical discipline, or equivalent substantial professional experience in technology implementation
Relevant data governance and information management knowledge
8 or more years of relevant experience across data governance, data products, data platforms, data sharing, analytics or AI enablement
Experience establishing data product or asset governance adopted by business and technology teams in a complex enterprise
Experience governing data domains, products, assets, marketplaces, contracts, sharing and reuse across cloud, analytics and AI environments
Experience defining implementable requirements for registration, cataloguing, metadata, lineage, quality, certification, access, interoperability, monitoring and retirement
Experience resolving ownership, authoritative source, product boundary, data contract, quality and control issues across business and technology teams
Hands-on implementation experience with at least one enterprise data governance platform, including configuring metadata models, ownership and stewardship workflows, certification or quality rules, and supported integrations with cloud data platforms, APIs or automation tools
Practical experience applying data product and asset governance through Microsoft Purview, Databricks Unity Catalog or Microsoft Fabric/OneLake is advantageous
Comparable experience with Collibra, Informatica IDMC, Alation or Atlan is valued
Experience translating governance requirements into metadata models, ownership and stewardship workflows, certification criteria, lineage, quality measures or governed access and reuse
Experience applying technology product management practices from user discovery, roadmap and backlog definition through solution design, hands-on configuration or integration, testing, approved release, adoption and operational handover
Evidence of measurable improvements from technology-enabled governance
Experience partnering with business and technology stakeholders in a global, federated organisation
Deep expertise in modern data governance, federated operating models, data domains, ownership, stewardship and decision rights
Strong knowledge of data product and asset governance, product lifecycle, authoritative sources, data contracts, service expectations, certification and health measures
Strong knowledge of metadata, catalogues, marketplaces, glossaries, semantics, critical data elements, lineage and provenance
Experience defining data quality rules, thresholds, observability, issue management, evidence, monitoring and remediation
Practical technical knowledge of cloud data platforms, lakehouse, data mesh, data fabric, APIs, pipelines, interoperability, master data and reference data
Ability to use SQL and an appropriate scripting language such as Python
Hands-on skills in governance platform configuration, metadata modelling, lineage, data quality rules, certification and workflow automation
Working knowledge of classification, privacy, security, access, sharing, retention, third-party data and governance of data used for analytics and AI
Ability to convert approved governance requirements into technical specifications, user stories, metadata schemas, machine-readable rules, configured workflows and measurable acceptance criteria
Strong knowledge of technology product management practices, agile delivery, release planning, adoption and value measurement
Working knowledge of version control, environment separation, configuration and integration testing, defect management, approved deployment and rollback, least-privilege access and secure credential handling
Strong business engagement, facilitation and influencing skills
Applied knowledge of DAMA DMBOK, EDM Council DCAM or CDMC, and relevant data, risk and technology standards
Relevant certifications 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 opportunities
Inclusive culture
Reasonable accommodation for qualified individuals with disabilities, including veterans with disabilities