Job Title : Data Modelling Lead - Ontology and Semantic Modelling

Employment Type : Full-Time

Location : Bengaluru / Hyderabad / Pune

Experience : 7+ Years

Domain : Corporate Finance & Human Resources

About KPI Partners :

KPI Partners is a data, analytics, and AI consultancy founded in 2006. We have 600+ consultants and 300+ enterprise customers, headquartered in Oakland, California with delivery and go-to-market teams across India, Mexico, and the UK. We build modern data platforms, analytics products, and production-grade AI systems on AWS, Azure, GCP, Databricks, and Snowflake. Our clients are moving past chatbots and copilots. They now want AI agents that can plan, decide and act across their systems, running enterprise-wide autonomous workflows with the right human oversight.

Job Summary :

We are looking for an experienced Ontology Engineer to design, develop, and implement business ontologies for Corporate Finance and Human Resources (HR) domains. The candidate will be responsible for defining business concepts, relationships, rules, and semantic models across finance and HR data. The role involves collaborating with business stakeholders and data architecture teams to establish standardized business definitions and map them to source systems and Microsoft Fabric data models. The ideal candidate should have strong experience in data modeling, ontologies, taxonomies, or knowledge graphs, along with working knowledge of corporate finance and HR business processes.

Key Responsibilities :

- Design and develop business ontologies for Corporate Finance and HR domains.

- Define key business concepts, entities, attributes, relationships, and business rules.

- Model finance entities such as General Ledger (GL), Accounts, Journals, Cost Centers, Budgets, and Financial Reports.

- Model HR entities such as Employees, Positions, Headcount, Attrition, and Organizational Structures.

- Collaborate with business stakeholders to define and standardize business terminology and definitions.

- Map business ontologies to source systems, enterprise data models, and Microsoft Fabric semantic models.

- Develop and maintain taxonomies, knowledge graphs, and semantic data models.

- Work with structured data and SQL to validate data relationships and business logic.

- Support the preparation of business context and semantic knowledge for AI, Microsoft Copilot, and enterprise analytics.

- Ensure consistency, reusability, scalability, and governance of business ontologies.

Required Skills :

- 6 - 10 years of experience in Data Modeling, Data Architecture, or related roles.

- Minimum 2 years of hands-on experience in Ontologies or Knowledge Graphs.

Strong understanding of :

- Ontology Engineering

- Knowledge Graphs

- Taxonomies

- Semantic Data Modeling

- Enterprise Data Modeling

Familiarity with ontology technologies and standards :

- RDF

- OWL

- TTL / Turtle

- SPARQL

- Strong SQL and data modeling skills.

Working knowledge of Corporate Finance processes :

- General Ledger

- Journal Entries

- Budgeting

- Cost Centers

- Financial Reporting

Working knowledge of HR processes :

- Employee Management

- Headcount

- Position Management

- Attrition

- Organizational Structures

Good to Have :

- Hands-on experience with Microsoft Fabric.

- Knowledge of OneLake, Fabric IQ, Power BI, and Semantic Models.

- Experience with Oracle EBS Finance or Oracle HCM.

- Experience in preparing enterprise business context for AI and Microsoft Copilot.

- Understanding of enterprise data governance and metadata management.

Ideal Candidate Profile :

- Strong enterprise data modeling and architecture experience.

- Hands-on ontology or knowledge graph development experience.

- Understanding of Finance and HR business processes.

- Knowledge of RDF, OWL, TTL, and SPARQL.

- Exposure to Microsoft Fabric and AI-driven semantic data solutions