Associate AI Data Strategist

TWG Global AI

Santa Monica (CA)

Sur place

USD 115 000 - 125 000

Plein temps

Il y a 11 jours

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Avantages offerts par ce poste

Competitive compensation
Benefits
Future equity options
Leadership opportunities

Résumé du poste

TWG Global AI in Santa Monica, CA is seeking an Associate AI Data Strategist to own the data strategy for a TWG business unit, uniting business leadership, AI product managers, and data engineers to power AI use cases and agentic workflows.

This high-ownership, cross-functional role drives data readiness, governance, ontology design, and knowledge-base creation to support enterprise AI initiatives and agentic workflows.

Qualifications

  • 2+ years in data management, data architecture, or data strategy.
  • Deep domain knowledge in financial services.
  • Proven track record leading data strategy enabling AI/ML in production.
  • Strong understanding of data architecture, integration, ontology, embeddings, and knowledge bases for agentic AI.
  • Experience evaluating data quality, completeness, and readiness for analytics and AI.
  • Ability to influence and align cross-functional teams including engineering, product, and leadership.
  • Excellent communication translating data concepts to business language.

Responsabilités

  • Own data strategy for an assigned business unit with end-to-end data readiness.
  • Engage with business leaders and AI product managers to understand AI use cases and data needs.
  • Conduct data readiness assessments evaluating data quality and accessibility.
  • Partner with data engineers to land, transform, and ontology-align data for AI use cases.
  • Drive creation of knowledge bases enabling agentic access to data across the business.
  • Define data roadmaps and integration priorities aligned with business objectives.
  • Establish data governance and best practices for AI/ML and agentic workflows.
  • Champion responsible and ethical data practices across all AI programs.
  • Communicate data strategy and progress to executives and technical teams.

Connaissances

Data strategy
Cross-functional leadership
Industry knowledge (finance)
Data governance
Communication

Formation

Bachelor's degree in CS/DS/Engineering
Advanced degree preferred

Outils

Palantir Foundry
Cloud data platforms
Orchestration tools

Description du poste

The Organization

At TWG GlobalHoldings, LLC (“TWG Global”), we drive innovation and business transformation across a range of industries,including financial services, insurance, technology, media, and sports,byleveragingdata 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 tooperateautonomously, 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. Byleveragingrelationships 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'relooking for an Associate AI Data Strategist 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, ensuringtheright data isidentified, assessed, landed, and shaped to power AI use cases and agentic workflows across the enterprise.

This is a high-ownership, cross-functional role.You'llcombine deep domainexpertisein 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 maytake onresponsibility for multiple business units.

Key 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 andidentifythe critical datarequiredto 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 businessobjectivesand the evolving needs of the AI program.
  • 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 alike.
Qualifications
  • 2+ years of experience in data management, data architecture, or data strategy, withdemonstratedexpertisein 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 dataexpertise—we are looking for people who know the businessandknow the data.
  • Proventrack recordof 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.
Preferred Qualifications
  • 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 infrastructurerequiredto 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.
Position Location

This position will work out of the TWGAI officeinSanta Monica, CA. Consideration for a different working location will be considered on a case-by-case basis.

Compensation

The expected annual salary range for this role is $115,000-125,000. A discretionary bonus may be provided as part of the compensation package.

TWG is an equalopportunityemployer. All applicants will be considered for employment without attention to age, race, color, religion, sex, sexual orientation, gender identity, national origin,veteranor disability status.

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