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Vp Ai Data Analytics Jobs (NOW HIRING)

You will collaborate with management to advance our data and analytics transformation, enhance ... The Role We're looking for a VP, AI Data Strategy to own and drive the data strategy for an entire ...

WHAT YOU'LL DO: The Vice President, AI Solutions & Delivery will lead solution strategy ... Experience designing practical AI, data, analytics, or software solutions that solve real business ...

VP, AI & Applications

Ann Arbor, MI · Remote

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... The VP, AI & Applications leads the intelligence layer of Karman -- the algorithms, control methods ...

VP, AI & Applications

Ann Arbor, MI · On-site +1

$230K - $290K/yr

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically ... The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods ...

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$183.5K

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How much do vp ai data analytics jobs pay per year?

As of Jul 27, 2026, the average yearly pay for vp ai data analytics in the United States is $183,493.00, according to ZipRecruiter salary data. Most workers in this role earn between $144,000.00 and $200,000.00 per year, depending on experience, location, and employer.

What are some common challenges a VP of AI Data Analytics faces when implementing new data-driven initiatives across an organization?

A VP of AI Data Analytics often encounters challenges such as integrating disparate data sources, ensuring data quality, and fostering cross-functional collaboration between technical teams and business stakeholders. There can be resistance to change from departments unaccustomed to data-driven decision-making, as well as difficulties in aligning AI and analytics projects with overall business goals. Additionally, managing the ethical use of AI and maintaining data privacy are ongoing concerns that require strong governance and clear communication across the organization.

What are the key skills and qualifications needed to thrive as a VP of AI Data Analytics, and why are they important?

To thrive as a VP of AI Data Analytics, you need expertise in data science, machine learning, and statistics, typically supported by an advanced degree in a related field and significant leadership experience. Familiarity with AI platforms, big data tools (such as Hadoop or Spark), and cloud services, along with certifications in analytics or data management, is highly valuable. Strategic thinking, strong communication, and the ability to lead cross-functional teams are standout soft skills for this role. These competencies are crucial for driving data-driven business strategies, fostering innovation, and ensuring successful implementation of AI initiatives at scale.

What does a VP of AI Data Analytics do?

A VP of AI Data Analytics is an executive leader responsible for overseeing the strategy, development, and implementation of artificial intelligence and data analytics initiatives within an organization. They lead teams of data scientists, analysts, and engineers to extract insights from large datasets, drive business decisions with data, and deploy AI solutions to solve complex problems. Their role includes setting data-driven goals, ensuring data quality and security, and aligning AI projects with overall business objectives.
What cities are hiring for Vp Ai Data Analytics jobs? Cities with the most Vp Ai Data Analytics job openings:
What states have the most Vp Ai Data Analytics jobs? States with the most job openings for Vp Ai Data Analytics jobs include:
Infographic showing various Vp Ai Data Analytics job openings in the United States as of July 2026, with employment types broken down into 73% Full Time, 24% Part Time, and 3% Contract. Highlights an 65% Physical, 3% Hybrid, and 32% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

Full-time

Life

Posted 25 days ago


Job description

The Organization  

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 a VP, AI Data Strategy 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. 

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 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. 
  • Champion responsible and ethical data practices across all AI programs. 
  • Communicate data strategy, progress, and trade-offs to executive stakeholders and technical teams alike. 

Requirements

Qualifications:

  • 7+ years of experience in data for AI, data analytics strategy or data management with demonstrated expertise in data platforms and infrastructure.
  • Deep domain knowledge in asset management, investment banking, insurance, commercial banking, 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 ability to identify and articulate AI use cases and the data required to deliver and implement high value AI solutions within at least one target industry vertical. 
  • 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 infrastructure required to support them. 
  • Strong point of view on emerging trends in AI-native data infrastructure and tooling. 

Benefits

  • 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 TWG AI office in Santa Monica, CA.

Compensation: 

The expected annual salary range for this role is $290,000-300,000. A discretionary bonus may be provided as part of the compensation package. 

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