Associate AI Data Strategist

About the role

We are seeking an Associate Ai Data Strategist to lead data strategy for an assigned business unit. This role requires deep domain expertise combined with hands-on data management and architecture skills.

Responsibilities

• Serve as the primary data strategy owner for an assigned business unit, ensuring data readiness across all AI initiatives.
• Engage directly with business leaders and AI Product Managers (AIPMs) to understand target AI use cases and identify critical data requirements.
• Conduct comprehensive data AI-readiness assessments, evaluating data quality, completeness, lineage, and readiness for advanced analytics and AI.
• Partner with data engineers to land, prepare, and transform data according to TWG's target architecture, including ontologizing data for use cases and AI agents.
• Create and curate knowledge bases enabling agentic access to data, both near specific use cases and across entire businesses.
• Define data roadmaps and integration priorities aligned with business objectives and evolving AI program needs.
• Establish data governance frameworks, quality standards, and best practices tailored to AI/ML and agentic workflows.
• Champion responsible and ethical data practices across all AI programs.
• Communicate data strategy, progress, and trade-offs to executive stakeholders and technical teams.

Requirements

• 2+ years of experience in data management, data architecture, or data strategy, with expertise in data platforms and infrastructure.
• Deep domain knowledge in one or more industry verticals such as investment banking, insurance, commercial banking, asset management, or financial services.
• Proven track record of leading data strategy efforts that enable AI/ML capabilities in production environments.
• Strong understanding of modern data architecture including data integration patterns, ontology design, vector databases, embeddings, and knowledge base construction for agentic AI systems.
• Experience conducting data assessments, evaluating data quality, completeness, lineage, and readiness for advanced analytics and AI.
• Demonstrated ability to influence and align cross-functional teams including engineering, AI research, product, and executive leadership.
• Excellent communication skills with the ability to translate technical data concepts into business-relevant language and vice versa.

Qualifications

• Bachelor's degree in Computer Science, Data Science, Engineering, Business, or equivalent experience; advanced degree preferred.
• Experience with the Palantir Foundry platform or similar enterprise data platforms is a significant plus.
• Experience with cloud data platforms and modern orchestration tools.
• Background leading data strategy within a decentralized or multi-business-unit organization.
• Familiarity with LLM/RAG architectures, agentic frameworks, and the data infrastructure required to support them.
• Strong point of view on emerging trends in AI-native data infrastructure and tooling.