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Vice President Machine Learning Jobs in Minnesota

Marsh McLennan

SVP, Actuarial Advisor

Edina, MN · On-site

The SVP Actuary will work closely with broking teams to ensure optimal use of analytical resources ... success, learning from top specialists in the (re)insurance industry and leading you towards a ...

Compass Group

Vice President of Hospitality

Saint Paul, MN · On-site

$100K - $110K/yr

We're committed to creating an equal opportunity and fair treatment environment, where learning and ... Paul Saints, the Vice President of Hospitality Strategy role works closely with our partners to ...

Compass Group

Vice President of Hospitality

Saint Paul, MN · On-site

$100K - $110K/yr

We're committed to creating an equal opportunity and fair treatment environment, where learning and ... Paul Saints, the Vice President of Hospitality Strategy role works closely with our partners to ...

Compass Group

Vice President of Hospitality

Saint Paul, MN · On-site

$100K - $110K/yr

We're committed to creating an equal opportunity and fair treatment environment, where learning and ... Paul Saints, the Vice President of Hospitality Strategy role works closely with our partners to ...

Daikinapplied

Vice President, Quality

Minneapolis, MN · On-site

The Vice President Quality will provide strategic thought and execution leadership required to ... Foster a culture of accountability, continuous learning, and operational excellence. Business ...

Daikin Applied

Vice President, Quality

Plymouth, MN · On-site

The Vice President Quality will provide strategic thought and execution leadership required to ... Foster a culture of accountability, continuous learning, and operational excellence. Business ...

remberg

VP Sales (f/m/d)

New Munich, MN · On-site

$150 - $200/hr

... machines, equipment and infrastructure running. We are helping these teams by simplifying their ... Continuous learning : Get a €1,500 development budget plus 1 day of educational leave per year.

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All JobsVice President Machine Learning JobsVice President Machine Learning Jobs in Minnesota

Vice President Machine Learning information

See Minnesota salary details

$34.8K

$112.4K

$177.8K

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

As of Sep 9, 2026, the average yearly pay for vice president machine learning in Minnesota is $112,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $93,000.00 and $140,100.00 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 Minnesota?

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

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

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

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

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

Vice President Machine Learning jobs near you

SVP, Actuarial Advisor

Edina, MN • On-site

Marsh McLennan
See more jobs at Marsh McLennanexternal

Full-time

Re-posted 3 days ago

Job description

Company:Guy CarpenterDescription:

Guy Carpenter (GC) is seeking an SVP Actuarial Advisor who will serve as a strategic partner to brokers and clients, collaboratively identifying and delivering effective solutions to client challenges. The SVP Actuary will work closely with broking teams to ensure optimal use of analytical resources, address client needs, and enhance the value GC Analytics brings to client relationships. As a senior leader, you will engage directly with clients to discuss risks, concerns, and potential solutions, leveraging your expertise and broad reinsurance market knowledge-even in the absence of a full actuarial data review. By partnering with brokers, you will actively contribute to problem-solving discussions, providing insights that extend beyond traditional actuarial analysis to drive meaningful client outcomes. This is a hybrid role (3 days a week in office, 2 days a week remote).

SVP, Actuarial Advisor

We will count on you to:

  • Act independently to propose actuarial services and valuations to clients, addressing their current and future needs to help mitigate risk.

  • Modify complex specialty models and propose value-added models to brokers and clients to assess risk exposure, forecast risks, losses, and financial impact.

  • Expand client services beyond reinsurance transactions to drive business development.

  • Direct a team to build complex specialty models to assess risk and develop pricing strategies for a range of risk exposures.

  • Advise senior management regularly on issues and progress to ensure smooth reinsurance transaction processes.

  • Communicate strategically with brokers, reinsurers, and clients to anticipate client needs and promote the use of reinsurance actuarial services.

What you need to have:

  • Minimum ACAS designation, preferably FCAS, with at least 7-10 years of industry experience.

  • Bachelor's degree in Actuarial Science, Economics, Mathematics, Statistics, or a related field.

  • Experience in pricing, valuation, and/or capital modeling.

  • Strong proficiency in Microsoft Office suite.

  • Visualization skills using Power BI, Tableau, or similar tools.

  • Excellent verbal and written communication skills.

  • Coding experience in programming languages such as Alteryx, R, Python, VBA, or SQL.

  • Comfortable working collaboratively in interactive teams with brokers and clients.

  • Ability to lead day-to-day project activities and make decisions to keep projects on track.

  • Strong problem-solving skills.

What makes you stand out:

  • Experience in reinsurance.

  • Experience in Financial Lines such as Errors & Omissions (E&O) and Directors & Officers (D&O) insurance.

Why join our team:

  • We help you be your best through professional development opportunities, interesting work and supportive leaders.

  • We foster a vibrant and inclusive culture where you can work with talented colleagues to create new solutions and have impact for colleagues, clients and communities.

  • Our scale enables us to provide a range of career opportunities, as well as benefits and rewards to enhance your well-being.

At Guy Carpenter, a Marsh business, you can be your best. We work on challenges that matter with colleagues who help bring out our best. Our uniquely collaborative environment will empower you to focus on your personal and professional success, learning from top specialists in the (re)insurance industry and leading you towards a rewarding and impactful career.Guy Carpenter is a business of Marsh (NYSE: MRSH), a global leader in risk, reinsurance and capital, people and investments, and management consulting, advising clients in 130 countries. With annual revenue of over $27 billion and more than 95,000 colleagues, Marsh helps build the confidence to thrive through the power of perspective. For more information about Guy Carpenter, visit guycarp.com, or follow us on LinkedIn and X.Marsh is committed to embracing a diverse, inclusive and flexible work environment. We aim to attract and retain the best people and embrace diversity of age background, disability, ethnic origin, family duties, gender orientation or expression, marital status, nationality, parental status, personal or social status, political affiliation, race, religion and beliefs, sex/gender, sexual orientation or expression, skin color, veteran status (including protected veterans), or any other characteristic protected by applicable law. If you have a need that requires accommodation, please let us know by contacting reasonableaccommodations@mmc.com.Marsh is committed to hybrid work, which includes the flexibility of working remotely and the collaboration, connections and professional development benefits of working together in the office. All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week. Office-based teams will identify at least one "anchor day" per week on which their full team will be together in person.

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