S&C Global Network - AI - CMT - Consultant Data Science

We are seeking a highly skilled and motivated Consultant Data Modeler to design, develop, and support the maintenance of conceptual, logical, physical, and semantic data models that support advanced analytics, AI/ML, and Generative AI use cases. The consultant will work closely with domain experts/business stakeholders, data science/engineering teams to translate complex business and system knowledge into scalable, high-quality data and semantic models. These models will serve as foundational assets enabling analytics, decision science, AI-driven insights, and intelligent automation across enterprise platforms. The role requires strong collaboration skills and the ability to work across multiple client environments.

• Collaborate with business stakeholders and domain experts to understand data requirements and translate them into clear conceptual, logical, and physical data models.
• Work closely with data engineers, analytics teams, and AI/ML practitioners to ensure data models are aligned with downstream consumption needs.
• Aptitude to work independently on modeling workstreams within client engagements, including requirements gathering, design, and documentation.
• Document & communicate modeling decisions, trade-offs, and best practices to both technical and non-technical audiences.
• Contribute to project delivery through high-quality, low-defect delivery”, documentation, design reviews, and model governance activities.

• Design and maintain conceptual, logical, and physical data models for structured and semi-structured data across enterprise systems.
• Develop reusable, extensible data models supporting analytics, reporting, AI/ML feature engineering, and decision science use cases.
• Apply semantic modeling techniques, including domain modeling, entity relationships, hierarchies, and taxonomies.
• Enable ontology and knowledge graph modeling, translating subject-matter knowledge into machine-readable representations.
• Ensure alignment of data models with enterprise architecture principles, data standards, and best practices.

• Design data and semantic models that act as foundational datasets for AI/ML and Generative AI systems.
• Enable explainability, reasoning, and contextual grounding through ontology-driven approaches and graph-based data models.
• Partner with data science and AI teams to ensure models support feature reuse, RAG pipelines, and intelligent agent workflows.
• Contribute to data model designs that improve trust, interpretability, and scalability of AI-driven solutions.

• Follow and contribute to data modeling standards, naming conventions, and design guidelines across projects.
• Support data governance initiatives including metadata management, lineage, and documentation.
• Ensure consistency, quality, and reusability of data assets across platforms and use cases.

• Translate complex business concepts into clear, well-structured data models that accelerate analytics and AI adoption.
• Enable faster solution development by providing high-quality, well-documented data foundations.
• Support measurable outcomes by improving data usability, consistency, and decision-making effectiveness.

• 4–6 years of experience with 3+ years of hands-on experience in data modelling, information modelling, or data architecture roles.
• Experience designing conceptual, logical, and physical data models.
• Experience working in consulting or client-facing roles is highly preferred.

• Bachelor’s or Master’s degree in Computer Science, Data Science, Information Systems, Engineering, or a related field.

• Strong expertise in data modeling techniques and methodologies.
• Proficiency with data modeling tools (ER modeling tools, UML, or equivalent) is preferred.
• Experience working with relational and graph-based data models.
• Familiarity with semantic modeling concepts, ontologies, or knowledge graphs (e.g., RDF/OWL concepts).
• Ability to collaborate effectively with data engineers, data scientists, and business stakeholders.

• Exposure to knowledge graph technologies (e.g., Neo4j or similar).
• Familiarity with AI/ML and GenAI consumption patterns, including feature stores, RAG pipelines, and agentic systems.
• Experience defining data standards and governance frameworks.
• Prior experience supporting analytics, decision science, or AI-driven initiatives.

Visit us at www.accenture.com 

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.