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Vp Ai Data Analytics Jobs (NOW HIRING)

Vice President, AI Strategy

Boca Raton, FL · On-site

$176.70 - $265.10/hr

Collaborate with the VP of Data to ensure the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments. * Maintain authority and accountability for ...

Represent Digital Realty externally through industry events, analyst briefings, and executive ... Background in infrastructure, cloud, or data center environments preferred * Experience serving as ...

If you join us, you're joining a culture where AI is how we work . Are you ready to make yourself at home? What We Are Looking For : We're seeking a hands-on VP, Enterprise Data amp; Analytics to own ...

VP of Data & Analytics

Las Vegas, NV · On-site

$260 - $320/hr

The VP of Data & Analytics is the senior leader responsible for AGS's entire data strategy, data ... Support the agentic AI program -- ensure data infrastructure is sequenced and delivered to unblock ...

You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ... analysis and audience insights to next-generation outcome measurement, automation, and agentic ...

VP, AI

Bellevue, WA · On-site

$226.30 - $260/hr

You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ... analysis and audience insights to next-generation outcome measurement, automation, and agentic ...

$228 - $240/hr

Position Summary The Vice President of Data & AI is accountable for establishing, governing, and advancing Virginia Farm Bureau's enterprise data and analytics capabilities through a federated data ...

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You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ... analysis and audience insights to next-generation outcome measurement, automation, and agentic ...

You will partner closely with Engineering, Product Management, Data Science, and Go-to-Market teams ... analysis and audience insights to next-generation outcome measurement, automation, and agentic ...

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Vp Ai Data Analytics information

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$101K

$183.5K

$367K

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

As of Aug 16, 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?

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 August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.

Vice President, AI Strategy

Mutual of America

Boca Raton, FL • On-site

$176.70 - $265.10/hr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted yesterday


Job description

Locations

New York, NY or Boca Raton, FL (hybrid)

Description

Mutual of America Financial Group helps people build the assets they need to achieve greater financial security. Built on a foundation of integrity, excellence, and social responsibility, we were founded in 1945 to provide pension and retirement‑related services for non‑profit organizations and now serve for‑profit companies, governmental entities, Tribal enterprises, institutional investors, and individuals.

Who Are We

We are committed to bringing talented and motivated people together to help our customers achieve a financially secure future.

Role Summary

We are looking for a Vice President of AI Strategy to lead AI initiatives, driving value for the business by leveraging data and artificial intelligence to enhance decision‑making, performance, and operational efficiency. This leader will own the development and execution of the AI strategy, collaborating with the data team to transform available data into actionable insights through advanced machine learning models and optimization algorithms.

This strategic role focuses on working with business leaders and technology teams to define the company’s AI strategy and build scalable AI solutions used across the organization. The role requires exceptional leadership, communication, and organizational skills, balancing strategic direction with hands‑on execution.

Responsibilities
  • Define AI vision, strategy, and associated practices. Lead the creation and ongoing relevance of the Company’s AI strategy in collaboration with business stakeholders.
  • Build partnerships with executive leadership to execute the vision for managing AI projects and maximizing data and AI capabilities.
  • Collaborate with the VP of Data to ensure the data platform efficiently supports AI, machine learning, and analytics capabilities across all departments.
  • Maintain authority and accountability for exploiting enterprise data value and the AI systems used to augment decision‑making.
  • Oversee the implementation and scaling of the pre‑defined AI strategy, ensuring AI models, algorithms, and processes are effectively deployed across key areas.
  • Manage the development, refinement, and deployment of cutting‑edge AI models and pipelines across various applications.
  • Develop and implement comprehensive AI governance frameworks, including policies, standards, and best practices.
  • Lead data‑driven optimization efforts, applying AI for performance optimization across the business.
  • Work closely with technical and business teams to ensure AI solutions are effectively integrated into workflows.
  • Promote innovation and continuous improvement, exploring emerging technologies to maintain a competitive edge.
  • Collaborate on data projects to ensure successful execution of critical data initiatives leveraged by AI.
Required Qualifications
  • Proven experience developing and deploying AI/machine learning models and optimization algorithms across multiple domains.
  • Strong leadership skills with the ability to build, lead, and mentor teams in a dynamic business environment.
  • Experience integrating with data platforms that support AI, data engineering, and analytics projects across an organization.
  • Strong knowledge of AI and data technologies, including Python.
  • Experience with Natural Language Processing (NLP) and model interpretability libraries, providing explain‑ability to complex models.
  • Excellent communication and collaboration skills, working cross‑functionally and managing relationships with multiple stakeholders.
  • Ability to present complex data and AI insights concisely, making data understandable for non‑technical stakeholders.
  • Demonstrated ability to manage multiple projects, prioritize effectively, and deliver results in a fast‑paced environment.
Preferred Qualifications
  • 5 years of leading AI projects at an enterprise level.
  • Proficiency in data analysis tools and programming languages such as SQL, Python, and R.
  • Understanding of data modeling and data architecture principles.
  • Expertise in defining and implementing data strategy, governance, and data management best practices.
  • Proficient with data governance best practices.
What We Offer You
  • Annual Bonus
  • Comprehensive Benefits Package (medical, dental, vision) starting day one of employment
  • 401(k) match: 100% Employer Match on up to 6% employee contributions (Salary and Incentive Compensation)
  • Parental Leave: 8 weeks fully paid
  • Paid time off: 28 days plus two floating personal holidays
Compensation

Base Salary Range: $176,700 - $265,100

Equal Opportunity Employer

Mutual of America Financial Group provides equal employment opportunity to all qualified employees and applicants for employment regardless of race, color, creed, religion, sex, pregnancy, national origin, ancestry, citizenship status, age, marital or partnership status, sexual orientation, gender identity or expression, disability, genetic predisposition, veteran or military status, or any other classification prohibited by applicable law. This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

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