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Vice President Machine Learning Jobs in Minnesota

... learning, and celebrates collaboration - because success is a team sport. It's our mission to be ... The Vice President, Marketing leads Medica's Marketing division and reports directly to the Chief ...

VP, Marketing

Minnetonka, MN · On-site

$250/hr

... learning, and celebrates collaboration -- because success is a team sport. It's our mission to be ... The Vice President, Marketing leads Medica's Marketing division and reports directly to the Chief ...

... learning, and celebrates collaboration -- because success is a team sport. It's our mission to be ... The Vice President, Marketing leads Medica's Marketing division and reports directly to the Chief ...

... learning, and celebrates collaboration - because success is a team sport. It's our mission to be ... The Vice President of Experience is responsible for defining and advancing a unified, end-to-end ...

VP, Experience

Minnetonka, MN · On-site

$250/hr

... learning, and celebrates collaboration -- because success is a team sport. It's our mission to be ... The Vice President of Experience is responsible for defining and advancing a unified, end-to-end ...

... learning, and celebrates collaboration -- because success is a team sport. It's our mission to be ... The Vice President of Experience is responsible for defining and advancing a unified, end-to-end ...

... machine learning to transform the health and wellbeing of large populations. From workplace ... With direction and support from the CHRO and VP, Talent and Culture, lead the strategy, design, and ...

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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 8, 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:

Full-time

Medical, Dental, Vision, Life, Retirement

Posted 10 days ago


Job description

Medica is a nonprofit health plan with more than a million members that serves communities in Minnesota, Nebraska, Wisconsin, Missouri, and beyond. We deliver personalized health care experiences and partner closely with providers to ensure members are genuinely cared for.

We're a team that owns our work with accountability, makes data-driven decisions, embraces continuous learning, and celebrates collaboration — because success is a team sport. It's our mission to be there in the moments that matter most for our members and employees. Join us in creating a community of connected care, where coordinated, quality service is the norm, and every member feels valued.

The Vice President, Marketing leads Medica's Marketing division and reports directly to the Chief Growth & Strategy Officer. The role sets enterprise marketing strategy across Employer, Individual, Medicare, and Medicaid, using market, consumer, member, and performance insights to strengthen business strategies and deliver measurable growth, engagement, and brand outcomes. The Vice President partners closely with the VP Experience and with the Director of Communications in Corporate Communications to align marketing and business communications across the four business lines. Perform other duties as assigned.

Key Accountabilities: 

  • Enterprise and Product Marketing Strategy and Growth: Sets the enterprise marketing direction, including product marketing, that advances business strategy and growth
    • Develops enterprise and annual marketing strategies across four business lines, brands, and geographic markets
    • Translates growth, business, and product priorities into audience, positioning, messaging, channel, brand, and go-to-market plans
    • Uses consumer, member, market, competitive, and performance insights to identify opportunities and strengthen business decisions
    • Aligns senior leaders on priorities, investments, and measurable outcomes
  • Business-Line Marketing and Communications: Leads coordinated marketing and business communications across the four major business lines
    • Directs marketing and business communications strategy for Employer, Individual, Medicare, and Medicaid
    • Partners with the Director of Communications in Corporate Communications to align business communications with enterprise messaging, reputation priorities, and standards
    • Coordinates audiences, messages, content, channels, and timing across business-line and functional partners
    • Establishes clear governance, decision rights, and accountability among Marketing, Corporate Communications, and business leaders
  • Brand, Member Engagement, and Experience Partnership: Connects brand and engagement strategies to the experiences Medica intends to deliver
    • Leads brand strategy, advertising, direct and performance marketing, and audience engagement across brands and markets
    • Partners with Experience to align brand promise, member journeys, communications, and engagement strategies
    • Collaborates with Stars, Clinical, Product, Operations, Customer Service, and market leaders to improve member experience and outcomes, including CAHPS and HOS performance
    • Oversees advertising, media, research, production, and other external agency and vendor relationships
  • Performance, Investment, and Marketing Operations: Ensures disciplined investment, measurement, optimization, and operational effectiveness
    • Establishes KPIs, dashboards, attribution, testing, and reporting to measure marketing effectiveness and business impact
    • Uses performance data and research to optimize strategies, campaigns, communications, and investments
    • Manages approximately $6-$7 million in direct annual expenses and coordinates or influences a broader marketing investment portfolio of approximately $20-$50 million
    • Leads forecasting, business cases, resource prioritization, vendor governance, and modernization of marketing capabilities and operating practices
  • People Leadership: Builds and leads a high-performing Marketing division aligned with enterprise priorities
    • Provides strategic direction for approximately 30-50 exempt employees and contractors, including three to five senior director-level direct reports and multiple director-level leaders
    • Sets expectations, provides coaching and feedback, develops talent, and supports succession and professional growth
    • Defines the function's operating model, capabilities, decision rights, and ways of working
    • Promotes inclusion, engagement, collaboration, accountability, compliance, and organizational effectiveness

Required Qualifications: 

  • Bachelor's degree in Marketing, Business, Communications, Finance or related field or equivalent experience
  • 15+ years of  progressive marketing experience, including 5+ years in senior leadership
  • Required experience includes leading teams of teams; developing enterprise, product marketing, DTC, B2B, brand, digital/performance, member engagement, and communications strategies; operating; using data and analytics to drive decisions; and managing significant budgets, agencies, and organizational change

Preferred Qualifications:

  • MBA or other relevant advanced degree

This position is an Office role, which requires an employee to work onsite at our Minnetonka office, on average, 3 days per week.

The full base pay salary range for this position is $264,000-$396,000.  Annual base pay salary range placement will depend on a variety of factors including, but not limited to, education, work experience, applicable certifications and or licensures, the position’s scope and responsibility, internal pay equity and external market salary data. 

In addition to base compensation, this position is eligible for Medica’s Short Term Incentive plan, Long Term Incentive plan and our Supplemental Executive Retirement Plan. 

Medica offers a generous total rewards package that includes competitive medical, dental, vision, executive life insurance, Self-Managed Time Off, Holidays, paid volunteer time off, 401K contributions, caregiver services and many other benefits to support our employees.

The compensation and benefits information is provided as of the date of this posting. Medica’s compensation and benefits are subject to change at any time, with or without notice, subject to applicable law.

Eligibility to work in the US: Medica does not offer work visa sponsorship for this role. All candidates must be legally authorized to work in the United States at the time of application. Employment is contingent on verification of identity and eligibility to work in the United States.

We are an Equal Opportunity employer, where all qualified candidates receive consideration for employment indiscriminate of race, religion, ethnicity, national origin, citizenship, gender, gender identity, sexual orientation, age, veteran status, disability, genetic information, or any other protected characteristic.