Lead Data Architect

 

Our Decision Intelligence (DI) team is looking for a Senior / Lead Data Architect to support key data initiatives. DI team focuses on facilitating data driven change and creating business value through data and advanced analytics. Define enterprise-wide data and semantic architecture to support AI-driven insights and automation. Able to lead Design of AI ready Intelligent Data Platform ensuring consistent, governed, interoperable data across Client's platforms and BU segments.

Keys Roles & Responsibilities:
Data Architecture Leadership:
Architect canonical data domains across customer, product, pricing, supply chain, contracts, and financial performance.
Design semantic layers, business ontology, subject-area models, and metrics definitions for AI agents.
Define principles for data interoperability, lineage, access control, multi-cloud integration.
Align data platform architecture with the USPD AI Roadmap.
Establish patterns for RAG, vector search, metadata-driven decisions, and multi-modal ingestion.
Provide Data & AI Architectural oversight for ongoing products like Finance, Pricing and Supply Chain Data Products, FIA, ContractIQ, and Specialty Leakage Agents.
Design and implement robust, scalable, and integrated data environment across the organization
Influence projects to make decisions related to data strategies including data quality, data architecture and data management best practices
Leverage tools and resources to plan, evaluate and execute strategic initiatives by mapping relational entities to use cases or business requirements and assisting in the development of data products

 

Advanced Data System Design:
Architect complex data systems that support scalable integration and optimal functioning of business-critical applications. Employ sophisticated design principles and tools to model data flows and structures that enhance data accessibility and utility
Manage creation of data design deliverables including data models, data diagrams, data flows and corresponding data dictionary documentation

Minimum Requirements:
Typically requires 7+ years experience in data engineering and architecture
Masters or Bachelor s degree in Computer Science, Engineering, or a related field

Critical Skills Required:
Proven Expertise: Minimum of 7+years of experience in enterprise data architecture, including data requirements collection, data architecture analysis, Enterprise data modeling, semantic layers, large-scale integration; Databricks, Snowflake, MDM, SAP, Salesforce/Conga; ability to simplify complex domains into intuitive patterns.
Leadership Skills: Delivery Ownership & able to guide engineering teams for successful execution and Change Champion.

Strategic Thinking: Strong analytical skills and the ability to develop strategies that align with long-term objectives.
Problem Solving: Innovative and creative problem-solving skills capable of handling complex challenges.