Associate Director - Data & Platform Architecture

Overview

Lead enterprise-wide Data, Platform, and Semantic Architecture to create trusted, reusable, interoperable, and machine-interpretable data assets. Partner with architecture, governance, platform, analytics, AI, and business teams to establish models, semantic standards, and governed data consumption designs.

What you'll do

• Define enterprise data, platform, and semantic architecture standards, principles, reference models, and roadmaps.
• Lead enterprise information models, conceptual and logical data models, canonical entities, and cross-domain relationships.
• Establish semantic models, ontologies, taxonomies, knowledge graphs, governed metrics, and reusable business definitions.
• Design AI-ready data and knowledge architectures for GenAI, Agentic AI, RAG, and advanced analytics.
• Drive data modeling, metadata management, data products, and traceability across data assets and solutions.
• Embed governance, quality, security, privacy, regulatory, and compliance requirements into architecture designs.
• Advise programs, products, and domain teams while conducting architecture reviews and risk assessments.

What you'll need

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related discipline.
• Approximately 12+ years of experience in data, platform, information, analytics, data modeling, or enterprise architecture.
• Expertise in conceptual and logical data modeling, metadata management, governance, quality, and integration.
• Experience designing semantic models, ontologies, taxonomies, knowledge graphs, and interoperability frameworks.
• Understanding of AI-ready data architecture, data products, data contracts, metadata, lineage, and analytics enablement.
• Working knowledge of TOGAF, DAMA-DMBOK, DCAM, Data Mesh, or modern data governance practices.
• Strong stakeholder management, communication, influencing, facilitation, and leadership skills.

Nice to have

• Advanced degree or relevant certifications.
• Experience with Collibra, Ataccama, Reltio, Immuta, Erwin, Databricks, Snowflake, Neo4j, Neptune, or similar platforms.

Details

• Location: Hyderabad, India.
• Work setting: Office.