Responsibilities:
Lead strategic programs to build Artificial Intelligence (AI)-Ready Data products and enable enterprise data infrastructure for highly impactful, large-scale Agentic use cases.
Advocate the design and implementation of semantic architectures that embed critical business context into the data layer, empowering next-generation AI agents to reason effectively.
Influence the Connected Data strategy to enable consistent, secure data assets based on canonical entity schemas to support richer, higher-level enterprise insights.
Create and maintain logical and physical database designs, prioritizing property-graph models and flexible data architectures where appropriate to support complex semantic layers.
Ensure the integrity of data, establishing strict security and governance procedures to protect and maintain the highest level of confidentiality and data security.
Minimum qualifications:
Bachelor’s degree, or equivalent practical experience.
8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
3 years of experience in a people management role; overseeing projects, with 2 years of technical leadership experience, supervision/team leadership role.
Experience designing and implementing efficient large-scale distributed systems through the full project life-cycle.
Preferred qualifications:
Experience working with advanced AI/ML analytics solutions involving machine learning and statistical analytics.
Experience implementing and integrating third-party applications within Finance, Supply Chain, Human Resource (HR), Marketing etc.
Conceptual, logical and physical data modeling and data architecture experience.
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