{"id":4150621,"url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director","title":"Metadata, Discovery & Lineage Associate Director","company":{"id":2859,"name":"EY","domain":"ey.com","url":"https://alion.io/company/ey-com","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"SuccessFactors","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hoboken, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":150000,"max":297000,"currency":"USD","period":"year","gross":null,"usd_annual":297000},"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Alation","optional":false},{"name":"Collibra","optional":false},{"name":"Databricks","optional":false},{"name":"Informatica","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Least Privilege","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-11-12T08:30:54Z","employer_posted_date":null,"last_verified_at":"2026-11-12T08:30:54Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"EY is hiring a Metadata, Discovery & Lineage Associate Director within its Global Data Stewardship Office and Risk Management Data Governance discipline. The role leads the development and implementation of metadata, discovery, lineage and semantics capabilities, translating business and governance needs into supported technology solutions and measurable improvements in metadata quality, adoption and control effectiveness.\n\nResponsibilities\nDevelop and maintain the enterprise metadata, discovery, lineage and semantics capability framework, target state and implementation roadmap. Recommend specialist principles and standards for approval by the relevant owners, aligned with approved policy, risk priorities and architecture direction\nDefine minimum metadata requirements by asset class, covering business, technical, operational, governance and usage metadata, and the relationships between data, processes, systems, controls, owners and permitted use context\nDesign enterprise approaches for business glossaries, data dictionaries, taxonomies, semantic models, critical data elements and authoritative definitions, including governance for synonyms and justified local variation. Recommend ontologies and knowledge graphs where supported by business needs, coordinating specialist expertise for advanced implementations\nSpecify risk based discovery and scanning coverage and source prioritisation; configure and validate approved connectors, APIs, harvesting schedules, indexing, search, automated classification, enrichment and exception handling across cloud and on premises environments. Evaluate platform capabilities through proofs of concept and scoped implementations, validating discovery outputs and classification results with accountable owners\nDefine, configure and validate business and technical lineage, provenance and impact analysis capabilities from source to consumption, including schema, table, column, transformation, report, model and data product level traceability where proportionate to risk. Implement supported metadata and lineage ingestion patterns, reconcile platform outputs with source evidence and document coverage gaps and accountable validation\nDesign, configure and test metadata lifecycle and curation controls, including metadata models, glossary and semantic relationships, approval workflows, versioning, change control, issue management, certification, deprecation and retention of history. Coordinate confirmation of owners and curators with accountable teams, and record their decisions, exceptions, escalations and auditable evidence\nDefine and track metadata quality and control measures for completeness, accuracy, consistency, validity, timeliness, uniqueness, lineage and scan coverage, freshness and remediation performance. Agree measurable business outcomes with stakeholders, such as reduced time to find trusted data or assess change impacts, and use adoption and control effectiveness measures to guide improvement\nTranslate approved policy and business requirements into traceable, machine-readable metadata and governance rules. Connect trusted metadata and semantic context to classifications, data quality signals, access conditions, retention, privacy, confidentiality, records, control evidence and responsible use requirements through supported integrations agreed with designated control owners\nConduct business and user discovery with metadata consumers, Data Owners, Regional Data Stewards, Service Lines, Service Line Quality and the wider data ecosystem, including the Global Data Office (GDO), Chief Technology Officers (CTOs), Chief Information Officers (CIOs) and product and platform teams. Translate needs into business, functional and non-functional requirements, prioritised roadmaps and backlogs, user stories, supported integration patterns and measurable acceptance criteria. Agree priorities and trade-offs with relevant owners, coordinate dependencies and maintain traceability from requirements to configuration, testing and implementation evidence\nEmbed governance checkpoints into design, build, release and operational handover. Execute configuration and integration testing, coordinate user acceptance testing, resolve defects and prepare release, rollback and support documentation for deployment by authorised teams. Support adoption through practical guidance and user feedback, and transition scoped capabilities to designated support owners\nPromote interoperability and vendor neutrality by applying recognised metadata registry, vocabulary, provenance and lineage patterns where appropriate, while enabling integration with enterprise catalogues and data platforms\nFacilitate definition, semantic modelling and lineage validation workshops with business, Service Line Quality, data and technology stakeholders. Explain technical concepts in practical business language, negotiate priorities, resolve cross-domain dependencies and build agreement on delivery, adoption and outcomes. Recommend options and escalate unresolved conflicts to the relevant decision owners\nMonitor relevant industry practices, standards, regulatory developments and technology capabilities, and direct continuous improvement of the metadata and lineage operating model\n\nSkills\nBachelor's degree or equivalent tertiary qualification in information systems, computer science, software or data engineering, data science, data architecture or a related discipline, or equivalent substantial professional experience in technology implementation. Candidates from information management, library or information science, business or other disciplines are welcome where they demonstrate equivalent technical foundations, practical implementation capability and relevant metadata management, information architecture and data governance knowledge\n8 or more years of relevant experience, including substantial responsibility for enterprise metadata, data catalogues, automated discovery and classification, lineage, semantic or information architecture capability in a complex organisation\nDemonstrated success defining metadata models and standards and implementing harvesting and enrichment across multiple platforms. Hands-on implementation experience with at least one enterprise metadata catalogue or data governance platform is essential, including configuring metadata models, discovery or classification capabilities, curation workflows and supported integrations with cloud data platforms, APIs or automation tools. Candidates must demonstrate delivered configurations, validated outputs and implementation evidence alongside requirements or advisory expertise\nExperience establishing business glossaries, taxonomies or ontologies and improving enterprise search and data discoverability, including configuring semantic relationships, accountable curation and approval workflows in enterprise tools\nExperience delivering and validating business and technical lineage, provenance and impact analysis through supported connectors, APIs or lineage event patterns, and implementing curation, metadata quality rules and remediation processes. Demonstrated use of SQL and scripting to reconcile source evidence, metadata and lineage outputs\nDemonstrated experience applying product management practices to metadata, discovery, lineage or semantics delivery: discovering business and user needs, defining business, functional and non-functional requirements, developing roadmaps and prioritised backlogs, and managing dependencies and trade-offs with product and platform teams. Experience supporting design, hands-on configuration or integration, testing, approved release, adoption and operational handover, with measurable acceptance criteria and evidence of business value and control outcomes\nEvidence of measurable improvements from technology-enabled governance, such as increased discovery and classification coverage, more complete or reliable lineage, improved metadata quality and freshness, faster curation, automated control evidence or greater use of trusted definitions and governed data\nExperience influencing senior stakeholders outside the reporting line in a global matrix, engaging business, Service Lines, Service Line Quality and data and technology teams, and working with architecture, product, engineering, analytics, AI, privacy, security and records functions. Evidence of facilitating decisions, negotiating priorities and building agreement on delivery and adoption across organisational boundaries\nDeep expertise in metadata management across business, technical, operational, governance and usage metadata, including catalogues, metadata repositories, data dictionaries and metadata lifecycle controls\nAdvanced knowledge of automated data discovery, profiling, scanning, indexing, classification, connector and API patterns, enrichment, search relevance and coverage management across hybrid data estates\nAdvanced knowledge of business and technical lineage, provenance, transformation logic, dependency mapping and impact analysis, including practical approaches to table, column, report, model and data product level traceability\nStrong capability in business glossaries, controlled vocabularies, taxonomies and semantic relationships, including governance of authoritative definitions and synonyms. Working understanding of ontologies and knowledge graphs and when they add value\nAbility to apply relevant recognised practices pragmatically: DAMA-DMBOK for metadata management, governance and data quality; EDM Association (formerly EDM Council) DCAM for capability assessment and improvement; and CDMC for cloud data management and automated control evidence where applicable\nPractical understanding of governance controls that connect metadata to data quality, confidentiality, privacy, security, records, retention, access, permitted use, analytics and responsible AI\nHands-on skills in enterprise metadata catalogue or governance platform configuration, including metadata modelling, discovery and classification rules, glossary and semantic relationships, lineage ingestion, metadata quality rules and curation workflows. Ability to assess capability fit, implement supported API, connector or scripting-based integrations and validate results. Practical delivery capability in a relevant platform is essential; expertise in every platform, graph technology or observability tool is not required\nPractical understanding of cloud data platforms, APIs, pipelines and interoperability. Ability to use SQL and an appropriate scripting language, such as Python, to inspect schemas, validate harvested metadata and transformation logic, reconcile lineage and test metadata quality and supported integrations\nAbility to define metadata and lineage quality rules, control evidence, service measures and outcome metrics, and to use those measures to prioritise remediation and continuous improvement\nStrong knowledge of product management practices appropriate to specialist capability delivery: business and user discovery, roadmaps, backlog prioritisation, agile delivery, dependency and trade-off management, testing, approved release, adoption and value measurement. Ability to translate business needs into business, functional and non-functional requirements, user stories, technical specifications, metadata schemas, machine-readable rules, workflows and measurable acceptance criteria, with traceability to delivery and control evidence\nWorking knowledge of version control, environment separation, configuration and integration testing, defect management, approved deployment and rollback, least-privilege access and secure handling of credentials. Ability to document metadata models, connectors, rules and workflows and transition scoped capabilities to designated support owners\nStrong analytical, facilitation, communication, relationship-building and negotiation skills. Ability to explain technical concepts in practical business language, translate business needs into implementable sol...","description_format":"text","description_chars":14591,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":["Flexible vacation policy"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Audit & Assurance Firms","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-11-12T08:58:55Z"}],"visa":[],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":25,"reasons":["seen:0","win:early","comp:brand"],"computed_at":"2026-11-12T10:17:38Z"},"pay":{"stated_usd_annual":297000,"is_top_pay":true},"html_url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director","json_url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director.json","meta":{"generated_at":"2026-11-12T10:17:38Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":20973,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-13T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.1,"usd":0.01,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":2859},"rest":"https://alion.io/mcp/rest/get_company?id=2859"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fey-metadata-discovery-lineage-associate-director"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":2,"usd":0.2},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fey-metadata-discovery-lineage-associate-director"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.1,"usd":0.01},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fey-metadata-discovery-lineage-associate-director"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/ey-metadata-discovery-lineage-associate-director\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-metadata-discovery-lineage-associate-director"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4150621}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4150621},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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