AI Data Strategy Lead

TWG Global AI•Santa Monica, CA

5d•$199,000 - $299,000•Onsite

About The Position

At TWG Global Holdings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries, including financial services, insurance, technology, media, and sports, by leveraging data and AI as core assets. Our AI-first, cloud-native approach delivers real-time intelligence and interactive business applications, empowering informed decision-making for both customers and employees. We prioritize responsible data and AI practices, ensuring ethical standards and regulatory compliance. Our decentralized structure enables each business unit to operate autonomously, supported by a central AI Solutions Group, while strategic partnerships with leading data and AI vendors fuel game-changing efforts in marketing, operations, and product development. You will collaborate with management to advance our data and analytics transformation, enhance productivity, and enable agile, data-driven decisions. By leveraging relationships with top tech startups and universities, you will help create competitive advantages and drive enterprise innovation. At TWG Global, your contributions will support our goal of sustained growth and superior returns, as we deliver rare value and impact across our businesses. The Role: We're looking for an AI Data Strategy Lead to own and drive the data strategy for an entire TWG business unit. You will serve as the connective tissue between business leadership, AI product managers (AIPMs), and data engineering, ensuring the right data is identified, assessed, landed, and shaped to power AI use cases and agentic workflows across the enterprise. This is a high-ownership, cross-functional role. You'll combine deep domain expertise in a specific industry vertical with hands-on knowledge of data management, architecture, and platforms to ensure our AI programs are built on a strong, accessible data foundation. As you grow in seniority, you may take on responsibility for multiple business units.

Requirements

7+ years of experience in data management, data architecture, or data strategy, with demonstrated 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 more broadly. The ideal candidate combines genuine business fluency with technical data expertise—we are looking for people who know the business and know the data.
Proven track record of leading data strategy efforts that directly 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.
Bachelor's degree in Computer Science, Data Science, Engineering, Business, or equivalent experience; advanced degree preferred.

Nice To Haves

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.
Work at the forefront of AI/ML innovation in life insurance, annuities, and financial services.
Drive AI transformation for some of the most sophisticated financial entities.
Be part of a high-growth AI startup.
Competitive compensation, benefits, future equity options, and leadership opportunities.

Responsibilities

Serve as the primary data strategy owner for an assigned business unit, with end-to-end accountability for ensuring data readiness across all AI initiatives within that business.
Engage directly with business leaders and AIPMs to deeply understand target AI use cases and identify the critical data required to deliver them successfully.
Conduct comprehensive data AI-readiness assessments—evaluating the extent, quality, suitability, and accessibility of data needed to support priority use cases.
Partner with data engineers to land, prepare, and transform data consistent with TWG's target architecture, including ontologizing data for use cases and AI agents.
Drive the creation and curation of knowledge bases that enable agentic access to data, both proximate to specific use cases and spanning entire businesses.
Define data roadmaps and integration priorities that align with business objectives and the evolving needs of the AI program.
Establish data governance frameworks, quality standards, and best practices tailored to AI/ML and agentic workflows.
Guide the evaluation and adoption of AI-native data platforms, vector databases, and cloud infrastructure.
Champion responsible and ethical data practices across all AI programs.
Communicate data strategy, progress, and trade-offs to executive stakeholders and technical teams alike.