{"id":4163247,"url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director-2","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":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Boston, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":{"min":180000,"max":324000,"currency":"USD","period":"year","gross":null,"usd_annual":324000},"salary_estimate":null,"experience_years_min":8,"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":"2026-11-12T12:49:07Z","employer_posted_date":"2026-11-12","last_verified_at":"2026-11-14T20:26:06Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"At EY, we’re all in to shape your future with confidence.\nWe’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.\nPosition Summary:\nThe Metadata, Discovery, Lineage & Semantics SME is an Associate Director role within the Global Data Stewardship Office and the Risk Management Data Governance discipline, combining specialist expertise, hands-on technology implementation and product management practices. The role provides functional leadership for capabilities that make data findable, understandable, traceable and reusable with confidence. It defines how business, technical, operational, governance and usage metadata are captured, connected, curated and measured across data assets, data products, reports, models and technology components. Its specialist remit covers discovery and classification, business and technical lineage, provenance, glossaries, taxonomies and semantic relationships, with ontologies and knowledge graphs used where appropriate. Working with business, risk, data and technology stakeholders, it translates business and user needs and approved policy and control requirements into implementable metadata models, rules, workflows and supported integrations. It applies discovery, roadmaps, prioritised backlogs and measurable acceptance criteria to guide scoped capabilities through design, configuration, testing, approved release, adoption and operational handover. Success is measured through business value, adoption, metadata quality and control effectiveness. The role delivers within delegated authority and approved architecture, security and change controls; ownership and approval boundaries are set out below.\nEssential Functions of the Job:\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.\nAnalytical/Decision Making Responsibilities:\nExercise Associate Director level judgement on complex metadata, lineage and semantic design issues spanning multiple businesses, jurisdictions, platforms and control domains.\nUse approved policy, risk priorities, architecture principles, metadata evidence and recognised data management practices to recommend proportionate specialist standards, coverage priorities, authoritative definitions and remediation approaches for agreement by accountable owners.\nEvaluate the completeness and reliability of harvested metadata and lineage, and determine when automated evidence is sufficient or accountable curation and validation are required.\nResolve conflicts between local and enterprise meaning and recommend risk based interim controls where end to end automation is not yet feasible.\nFor critical business concepts, facilitate agreement on authoritative definitions with Data Owners and relevant business stakeholders. Map approved synonyms and local variants, link relevant data elements, owners, controls and lineage, and define the evidence and workflow required to sustain agreed definitions.\nAssess implementation options, platform constraints, integration dependencies, maintainability and control effectiveness; select configuration and automation approaches within approved patterns and define interim governance and evidence where discovery, lineage or semantic capability gaps remain.\nTake responsibility for the design, configuration, supported integration, testing and implementation evidence of assigned metadata, discovery, lineage and semantics capabilities within delegated authority. Recommend options and escalate decisions requiring policy approval, risk acceptance, architecture or security approval, funding, platform approval, production change authority or changes to accountable ownership to the relevant authority.\nKnowledge and Skills Requirements:\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; advanced implementation expertise in these areas is advantageous rather than essential.\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. Familiarity with relevant interoperability standards, such as ISO/IEC 11179 metadata registries, ISO 8000 data quality, W3C DCAT, SKOS and PROV, or OpenLineage event patterns, is advantageous. These are reference frameworks and standards, not a requirement for formal compliance or certification.\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. Familiarity with lakehouse, data mesh or data fabric approaches is advantageous where relevant to the implementation environment.\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 e...","description_format":"text","description_chars":23185,"description_truncated":true,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":true},"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":"2026-11-12T12:49:07Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":26,"reasons":["conf:0","velocity","win:early","comp:brand"],"computed_at":"2026-11-14T05:58:10Z"},"pay":{"stated_usd_annual":324000,"is_top_pay":true},"html_url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director-2","json_url":"https://alion.io/job/ey-metadata-discovery-lineage-associate-director-2.json","meta":{"generated_at":"2026-11-15T01:45:01Z","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":3335,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-16T00:00:00Z"}},"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-2"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"free","price":{"credits":0,"usd":0},"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-2"},{"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-2"},{"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-2\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fey-metadata-discovery-lineage-associate-director-2"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":4163247}},{"tool":"search_jobs","arguments":{"company":"ey.com","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":4163247},"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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