Data Modeler

We Are:Accenture is a global professional services and solutions company that helps leading organizations reinvent with digital, cloud, data, and AI capabilities, drawing on its large global workforce, industry expertise, and ecosystem partnerships to create 360 value.By combining hands-on engineering with deep industry context, we help organizations build their digital core, modernize operations, unlock value from data and AI, and deliver tangible business outcomes at speed and scale.You Are:We are seeking an experienced Knowledge Modeler / Ontologist to contribute to domain ontology design, governance, and delivery for enterprise knowledge graph initiatives. Working collaboratively within a team and under the guidance of an ontology governance framework, this role bridges business stakeholders, data engineering, and AI/ML teams – translating complex business domains into rigorous, standards-compliant semantic models that power intelligent applications.Key Responsibilities:Ontology Design & Development:Lead the full ontology lifecycle supporting a defined project scope: requirements gathering, conceptual modeling, formal specification (OWL 2, RDFS, SKOS), validation, and deploymentDesign T-Box (schema) structures and contribute to A-Box (instance) hydration patterns across structured and unstructured data sourcesApply and uphold established naming conventions, URI strategies, and modular ontology architecture principlesApply advanced modeling patterns where appropriate (e.g., reification, n-ary relations, punning) in consultation with senior team membersCreate and evolve ontologies, taxonomies, and vocabularies using standards including OWL, RDF, RDFS, and SKOSMap traditional data structures (e.g., relational databases) into semantic frameworksBuild and maintain knowledge graphs to support reasoning, discovery, and advanced analyticsEnsure models align with business goals, regulatory requirements, and data governance practicesCoach the business (SMEs and stakeholders) in developing and validating competency questions to guide and test ontology scope and correctnessMaintain awareness of relevant upper ontologies (e.g., BFO, schema.org) and apply alignment patterns as appropriateStakeholder Engagement:Facilitate business SME workshops with BA support to elicit domain concepts, relationships, and competency questionsTranslate ambiguous business language into precise, machine-readable semanticsCommunicate modeling decisions to non-technical stakeholders in accessible termsSupport feedback loops between business validation and ontology iterationTechnical Contribution:Apply ontology governance standards: version control, change management, and quality gates (W3C compliance, SHACL/ShEx validation)Define and enforce Definition of Done criteria for ontology deliverables in collaboration with the senior teamApply R2RML / RML mapping strategies for structured data integrationCollaborate with Entity Extraction / NLP teams on ontology-guided information extraction from unstructured sourcesCollaborate with knowledge graph hydration, testing, and validation against competency questionsTeam Collaboration & Delivery:Work effectively within cross-functional delivery teams spanning Data Engineering, AI/ML, Product, and Business SMEsCollaborate with and support junior team members, sharing knowledge and modeling approachesMeet delivery timelines and proactively flag dependencies or risks to senior ontologist or project leadProvide accurate and achievable estimates for ontology-related work and contribute to roadmap planning as part of the broader project scopeKey Skills and Competencies:Ontology Engineering: Proficiency in OWL 2, RDF, RDFS, SKOS, SHACL, and SPARQL for building and validating semantic modelsSemantic Web Standards: Working knowledge of W3C standards and best practices for linked data and knowledge representationKnowledge Graph Development: Experience designing and querying knowledge graphs using tools such as GraphDB, Stardog, or Neo4jTooling: Hands-on experience with ontology authoring tools such as Protégé or OntotextData Integration: Familiarity with R2RML or RML for mapping relational or semi-structured sources into semantic modelsCompetency Question Development: Ability to formulate and use competency questions to scope, validate, and iterate on ontological modelsUpper Ontology Awareness: Familiarity with upper ontologies such as BFO, DOLCE, or schema.org and their role in interoperabilityCommunication & Collaboration: Ability to translate complex technical concepts into business-friendly language and engage effectively with both technical and non-technical stakeholdersThis role is hybrid in nature and will require time in office and traveling to client locations. Travel can be between 20-80%Here's What You Need:Minimum 5 years of hands-on experience in ontology engineering, knowledge modeling, or a closely related semantic web disciplineMinimum 5 years demonstrable experience delivering domain ontologies in an enterprise or consulting contextBachelor’s in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related fieldPreferred Qualifications:Master’s degree in Information Science, Computer Science, Library Science, Linguistics, Philosophy, or a related field — or equivalent practical experienceExperience working in Agile or iterative delivery environments preferredCompensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.We anticipate this job posting will be posted until 09/30/2026.Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:U.S. Employee Benefits | AccentureRole Location Annual Salary RangeCalifornia $94,400 to $293,800Cleveland $87,400 to $235,000Colorado $94,400 to $253,800District of Columbia $100,500 to $270,300Illinois $87,400 to $253,800Maine $80,400 to $216,200Maryland $94,400 to $253,800Massachusetts $94,400 to $270,300Minnesota $94,400 to $253,800New York $87,400 to $293,800New Jersey $100,500 to $293,800Virginia $87,400 to $270,300Washington $100,500 to $270,300#LI-NA-FY25#LI-NA#LI-MPAbout AccentureAccenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360 value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360 value we create for our clients, each other, our shareholders, partners and communities.Visit us at What We BelieveWe have an unwavering commitment to diversity with the aim that every one of our people has a full sense of belonging within our organization. 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