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Vice President Machine Learning Jobs in Indiana (NOW HIRING)

... learning. Their innovative approach to education not only equips students with the knowledge and ... The Dean partners closely with the EVP, the Chief Academic Officer (CAO), and the Director of ...

... learning. Their innovative approach to education not only equips students with the knowledge and ... The Dean partners closely with the EVP, the Chief Academic Officer (CAO), and the Director of ...

... learning. Their innovative approach to education not only equips students with the knowledge and ... The Dean partners closely with the EVP, the Chief Academic Officer (CAO), and the Director of ...

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Vice President Machine Learning information

See Indiana salary details

$33.8K

$109.2K

$172.7K

How much do vice president machine learning jobs pay per year?

As of Sep 4, 2026, the average yearly pay for vice president machine learning in Indiana is $109,171.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,400.00 and $136,100.00 per year, depending on experience, location, and employer.

What does a vice president of machine learning do?

A Vice President of Machine Learning leads and oversees the strategic direction of machine learning initiatives within an organization. They manage teams of data scientists, engineers, and researchers to develop and deploy AI-driven solutions that support business goals. This role involves collaborating with other executives, setting research agendas, ensuring best practices, and staying updated with the latest advancements in the field. The VP also plays a key role in resource allocation, talent acquisition, and scaling machine learning systems across the company.

What are the key skills and qualifications needed to thrive as a vice president of machine learning?

To thrive as a Vice President of Machine Learning, you need advanced expertise in machine learning, data science, and computer science, typically backed by a master's or PhD and extensive industry experience. Proficiency with platforms like TensorFlow, PyTorch, cloud computing services, and experience managing large-scale AI projects are crucial, along with a track record in leading technical teams. Exceptional leadership, strategic vision, and strong communication skills set outstanding candidates apart by enabling effective cross-functional collaboration and innovation. These skills are vital for driving organizational AI strategy, ensuring technical excellence, and delivering scalable business impact.

What are some common challenges faced by a vice president of machine learning when leading cross-functional teams?

A Vice President of Machine Learning often encounters challenges such as aligning diverse teams on technical priorities, managing expectations across product, engineering, and business units, and ensuring effective communication between stakeholders with varying levels of technical expertise. Balancing the need for innovation with practical business objectives and resource constraints is also a frequent challenge. Cultivating a collaborative culture and fostering ongoing professional development are key to overcoming these hurdles and driving successful outcomes.

What is the difference between Vice President Machine Learning vs Director of Machine Learning?

AspectVice President Machine LearningDirector of Machine Learning
Required CredentialsAdvanced degrees (Master's/PhD), extensive experience in MLSimilar educational background, less senior experience needed
Work EnvironmentStrategic leadership, cross-departmental collaborationProject management, team oversight
Employer & Industry UsageLarge tech firms, enterprises with AI focusTech companies, startups, research labs
Search & Comparison IntentHigh overlap in responsibilities and qualificationsRelated but more operational role

The Vice President Machine Learning typically holds a senior leadership role focused on strategic planning and cross-functional collaboration, while the Director of Machine Learning manages day-to-day projects and teams. Both roles require advanced degrees and experience in machine learning, but the VP is more involved in high-level decision-making and industry strategy.

What are the most commonly searched types of Machine Learning jobs in Indiana?

The most popular types of Machine Learning jobs in Indiana are:

What job categories do people searching Vice President Machine Learning jobs in Indiana look for?

The top searched job categories for Vice President Machine Learning jobs in Indiana are:

What cities in Indiana are hiring for Vice President Machine Learning jobs?

Cities in Indiana with the most Vice President Machine Learning job openings:

Client Partner - Commercial Life Sciences (1267)

Axtria, Inc

Indianapolis, IN • On-site

$204.25 - $312/hr

Other

Re-posted 28 days ago


Job description

Axtria is a leading global provider of cloud software and data analytics to the Life Sciences industry. We help Life Sciences companies transform the product commercialization journey to drive sales growth and improve healthcare outcomes for patients.

Since our founding in 2010, innovation has been our winning differentiation, and we continue to leapfrog competition with platforms that deploy Artificial Intelligence and Machine Learning. Our cloud-based platforms—Axtria DataMax, Axtria InsightsMax, Axtria SalesIQ, Axtria MarketingIQ and Axtria CustomerIQ—enable clients to efficiently manage data, leverage data science to deliver insights for sales and marketing planning, and manage end-to-end commercial operations. We work with over 100 Life Sciences companies, many with multiple engagements globally across 75+ countries.

Axtria is looking for exceptional talent to join our rapidly growing global team. People are our biggest perk! We are recognized for our organizational culture in both the US and India, including certification by the Great Place to Work. Our transparent and collaborative culture offers a chance to work with some of the brightest minds in the industry.

Client Partner – Life Sciences (Analytics, AI & Cloud Platforms)

Axtria is a global leader in cloud software and advanced analytics for Life Sciences, helping pharma and biotech companies transform commercial strategy, execution, and patient impact through data, AI, and technology.

We’re looking for a Client Partner to own and grow strategic enterprise relationships, serve as a trusted advisor to senior executives, and expand our footprint across analytics, AI, and cloud platforms.

Why This Role Matters
  • Own and grow strategic Life Sciences accounts at the executive level
  • Influence commercial strategy, analytics, and AI-driven transformation
  • Lead account growth, P&L, and delivery quality in a high-visibility role
  • Work with global clients across 75+ countries in a fast growing, innovation-led firm
What You’ll Do
  • Build trusted relationships with CXO, EVP, and VP-level leaders
  • Own account strategy, growth planning, and P&L
  • Expand existing buying centers and open new ones across Commercial, Data & IT
  • Drive growth across Axtria’s analytics, AI, and cloud platforms
  • Partner with delivery and product teams to ensure exceptional outcomes
  • Shape proposals, POVs, and executive-level content to win large engagements
What We’re Looking For
  • 12-15+ years in Life Sciences consulting, analytics, enterprise software, or senior pharma roles
  • Strong track record of enterprise sales, account growth, and executive engagement
  • Experience running or influencing $20M+ P&Ls preferred
  • Ability to translate data, analytics, and AI into business impact
  • Executive presence, strong storytelling skills, and commercial acumen
Why Axtria
  • Industry leader in AI-driven Life Sciences commercial transformation
  • Recognized for innovation, growth, and culture (Great Place to Work)
  • High-impact role with clear visibility, ownership, and career growth
  • Collaborative, transparent culture that develops industry leaders
Pay Transparency Laws

Salary range or hourly pay range for the position

The salary range for this position is $204,250 to $312,000 annually. The actual salary will vary based on the applicant’s education, experience, skills, and abilities, as well as internal equity and alignment with market data. The salary may also be adjusted based on the applicant’s geographic location.

The salary range reflected is based on the primary work location of Berkeley Heights, New Jersey. The actual salary may vary for applicants in a different geographic location.

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