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Vp Ai Data Analytics Jobs (NOW HIRING)

Utilidata

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 ...

Utilidata

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 ...

Mutual of America

Vice President, AI Strategy

Manhattan, NY · On-site

$176K - $265K/yr

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

Marriott

Vice President, AI Technology

Bethesda, MD · On-site +1

The Vice President, AI Technology leads the GenAI Studio's core technology strategy and execution ... Partnering closely with Data & Analytics and cross-functional technology and business leaders, the ...

CRH

Vice President, Data & Analytics

Atlanta, GA · On-site

Vice President, Data & Analytics Architectural Products Group Atlanta, Georgia, United States Job ... Continuously evaluate emerging technologies (AI/ML) to enhance capabilities and competitive ...

Digital Realty

VP, AI Acceleration

Austin, TX

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

ResourceWell

WA · On-site

The Vice President of Gen AI Delivery will drive innovation and excellence in building next ... As a global innovator in AI, data analytics, cloud, and digital engineering, they partner with top ...

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

As of Jun 13, 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.
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Vp Ai Data Analytics jobs near you
Infographic showing various Vp Ai Data Analytics job openings in the United States as of June 2026, with employment types broken down into 1% Internship, 61% Full Time, 37% Part Time, and 1% Contract. Highlights an 66% Physical, 4% Hybrid, and 30% Remote job distribution, with an average salary of $183,493 per year, or $88.2 per hour.
VP, AI & Applications

VP, AI & Applications

Utilidata

Ann Arbor, MI • On-site, Remote

$230K - $290K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 3 days ago

Job description

Utilidata is a fast-growing NVIDIA-backed AI company enabling AI data centers to dynamically orchestrate power and unlock more compute capacity from existing energy infrastructure. For over a decade, we have applied AI to the electric grid - bringing real-time visibility and power-flow control to complex energy infrastructure. Our Karman platform, built on a custom NVIDIA module, brings that same capability to AI data centers, giving operators a way to better use the power already available to them.
The VP, AI & Applications leads the intelligence layer of Karman - the algorithms, control methods, and optimization techniques that turn microsecond-resolution measurement data into closed-loop control actions and quantifiable customer value. Reporting to the Chief Technology Officer, this role owns how Karman creates value across the data center power system: the internal power distribution system, the utility connection, and ancillary loads and generation including cooling, capacitor shelves, and on-site solar plus battery. The VP partners with the VP, Engineering on the platform that runs these methods in production, and with VP, Product on how value is packaged and delivered to customers.
Responsibilities
  • Lead and set technical direction for the team responsible for Karman's algorithms, control methods, optimization, and applied research - including power flow control and closed-loop adaptive control - through direct management of a Director and Principal-level individual contributors
  • Drive technical co-development with strategic technology partners across hardware, firmware, and commercial tracks, and provide customer-facing technical leadership, working with GTM and Product
  • Develop and manage release plans for algorithms and applications work, with clear engineering direction, validation strategy, and tracking against committed product capabilities
  • Partner with the VP, Engineering to ensure algorithms and control methods are designed for production deployment on the Karman software and hardware platform
  • Stay hands-on early in the role and scale toward leader-of-leaders as the team grows
  • Collaborate with the People Team to attract, onboard, and retain top talent in algorithms, applied AI, and control systems
  • Optimize resource allocation, budgeting, and timelines for team effectiveness
  • Develop and report on success metrics that measure the team's contribution to organizational objectives
Minimum Qualifications
  • 10-15+ years of professional experience leading teams that develop algorithms, control systems, optimization methods, or applied AI in production
  • Deep technical background in one or more of: control theory, power systems, optimization, applied machine learning, or signal processing
  • Demonstrated experience in algorithms and decision-making paradigms with edge AI tools, including control systems that run offline or isolated for extended periods
  • Track record of developing leaders and growing the careers of senior engineers and researchers; sees mentorship and team development as a core measure of personal impact
  • Demonstrated ability to lead a senior, technically deep team while remaining hands-on enough to shape architecture and methods directly
  • Experience translating research and prototypes into shipped products in a startup or fast-moving environment
  • Strong communication skills, including the ability to represent technical work credibly to executives, customers, and external technical organizations
  • Experience with intellectual property strategy and the patent process
  • Willingness to travel up to 20% of time
Enhanced Qualifications (Nice to Have)
  • PhD strongly preferred in Electrical Engineering, Computer Science, Control Systems, Applied Mathematics, Operations Research, or a related technical discipline
  • Experience with energy systems, power electronics, or grid-edge applications
  • Published research, granted patents, or recognized contributions to control systems, applied AI, or power systems
  • Background in real-time systems, deterministic control loops, or hard real-time operating systems
  • Experience with digital twins, hardware-in-the-loop simulation, or co-simulation environments
Salary Range: $230,000 to $290,000 base compensation depending on experience plus stock options. Salary will be commensurate with an individual's skills, training, years of experience, and in line with internal compensation bands.
Location: This position can be performed remotely from anywhere in the United States.
Our Commitments:
Utilidata values the diversity of our team. We provide equal employment opportunities without regard to race, color, religion, creed, sex, gender, sexual orientation, gender identity or expression, national origin, age, physical disability, mental disability, medical condition, pregnancy or childbirth, sexual orientation, genetics, genetic information, marital status, or status as a covered veteran or any other basis protected by applicable federal, state and local laws.
We are committed to:
  • Creating a diverse and inclusive workplace that is welcoming, supportive, affirming and respectful
  • Empowering employees to solve problems and work together to make a difference
  • Providing mentorship and growth opportunities as part of a collaborative team
  • A flexible work environment with flexible paid time off
  • Competitive compensation and benefits, including health, dental, vision, and employer-match 401k

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