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Vice President Machine Learning Jobs in Minnesota

Bridgestone

VP, Talent, Learning & Culture

Tower, MN · On-site

The VP ensures alignment with the company's overarching business objectives, builds a high ... Provide direction for learning, development team, and leadership initiatives developed by Talent ...

multitech

Vice President of Engineering

Moundsview, MN

$190K - $246K/yr

The Vice President of Engineering will lead the end-to-end engineering organization for MultiTech ... Machinery operation requires the use of safety equipment to include but not limited to; safety ...

Capstone

VP of Direct Sales

Eden Prairie, MN · On-site

Description The Vice President of Direct Sales at Capstone will lead our direct sales organization ... Experience selling both print educational materials and SaaS or digital learning solutions is ...

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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 Jul 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 are the key skills and qualifications needed to thrive as a Vice President of Machine Learning, and why are they important?

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 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 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 are popular job titles related to Vice President Machine Learning jobs in Minnesota? For Vice President Machine Learning jobs in Minnesota, the most frequently searched job titles 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
Vice President Revenue Operations

Vice President Revenue Operations

Wolters Kluwer

Saint Cloud, MN

$1.30/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 22 days ago

Wolters Kluwer rating

8.7

Company rating: 8.7 out of 10

Based on 26 frontline employees who took The Breakroom Quiz

44th of 204 rated software companies

Job description

The Vice President, Revenue Operations is a pivotal leadership role responsible for unifying and optimizing the revenue engine across Wolters Kluwer's FCC division, a complex, global business $1.3B USD
in revenue. This leader will partner directly with the FCC Division CEO and report into the enterprise SVP Revenue Operations to architect and execute a data-driven revenue operations strategy that drives sales acceleration, operational efficiency, and predictable growth across diverse sales channels and geographies.

This role represents a unique opportunity to build the RevOps function from the ground up and establish the playbookthat will become the template for enterprise-wide transformation. The VP will inherit existing sales operations and learning & enablement teams, consolidate fragmented technology systems, and create a unified operating model that serves complex go-to-market motions including inside sales, field sales, enterprise accounts, and partner channels globally. Success requires a proven operator who has scaled revenue operations in global, multi-billion dollar software businesses and can deliver incremental improvements that compound into significant impact.


Essential Duties and Responsibilities


Revenue Acceleration & Growth
Drive sales acceleration through optimization of processes, systems, and methodologies across all customer segments and geographies.
Identify and execute 1% improvements across the revenue engine that aggregate into substantial business impact at scale.
Partner with General Managers in the Division to alignrevenue operations strategy with regional goals.

Operational Excellence & Standardization
Consolidate and standardize disparate technology stacks, CRM systems, and sales tools into a unified, scalable platform.
Design and implement best-in-class forecasting methodologies, pipeline management disciplines, andperformance metrics.
Evolve traditional sales operations (reporting/dashboards) into strategic revenue operations with enterprise- wide impact.
Optimize sales compensation structures and quota management across complex, global sales organization.

Cross-Functional Integration
Unify currently siloed functions including sales operations, learning and enablement, and sales strategy under cohesive RevOps framework.
Partner closely with enterprise RevOps leader to contribute to and leverage centralized capabilities (targetmodel: 70% enterprise standard, 30% division-specific).
Align marketing, sales, customer success, and finance operations to ensure seamless revenue execution

Data, Analytics & Infrastructure
Build world-class revenue analytics and insights capability to inform strategic decision-making.
Ensure data integrity and governance across complex, global sales systems.
Deliver actionable intelligence on pipeline health, conversion metrics, sales productivity, and forecast accuracy.
Leverage automation and AI to enhance sales effectiveness and simplify selling motions.

Technology Strategy & Enablement
Own selection, implementation, and adoption of revenue technology stack (CRM, sales engagement, analytics, compensation tools).
Drive technology consolidation from fragmented divisional systems toward enterprise-standard platforms.
Champion automation and process improvement to reduce manual effort and improve sales velocity.
Sales Enablement & Performance
Integrate learning and enablement function into broader revenue operations strategy.
Partner with sales leadership to design and execute training, onboarding, and continuous developmentprograms.
Establish clear performance management frameworks and accountability structures.

Global Operating Model
Design revenue operations strategies that work across diverse sales models: inside sales, field sales,
enterprise, partners/resellers.
Balance standardization with appropriate regional and market-specific customization.

The ideal Vice President, Revenue Operations is a seasoned revenue operations executive who has successfullyscaled RevOps functions in complex, global enterprise software companies. This leader brings proven experiencedriving sales acceleration and operational transformation across multiple sales models and geographies, with a trackrecord of delivering measurable improvements in forecast accuracy, sales productivity, and revenue growth.


The successful candidate combines strategic vision with hands-on execution capabilities. They have operated at theintersection of sales, finance, and technology in billion-dollar businesses, unifying disparate systems and processesinto cohesive, scalable operating models. While deep domain expertise in tax and accounting is not required,
exceptional fluency in enterprise software business models and go-to-market complexity is essential. This leaderthrives in environments that demand both innovation and rigor, finding energy in identifying incremental opportunitiesfor optimization that compound into significant business impact.

Skills & Competencies
Proven experience building or scaling revenue operations functions in $1B+ enterprise software businesses.
Deep understanding of complex sales channel models including inside sales, field sales, enterprise accounts,and partner/reseller networks.
Expert knowledge of revenue forecasting, pipeline management, territory design, and sales compensationstructures.
Experience leading revenue operations across multiple geographies with global team managementresponsibilities.
Exceptional business acumen with ability to translate complex data into actionable insights and strategy.
Deep fluency with enterprise revenue technology platforms (Salesforce, SAP, Oracle, HubSpot, Tableau, orsimilar).
Strong analytical skills with expertise in revenue analytics, performance metrics, and business intelligence.
Understanding of how to leverage AI, automation, and advanced analytics to enhance sales effectiveness.

Leadership and Management
Ability to build and lead high-performing, geographically distributed teams across multiple time zones.
Strong executive presence with ability to partner effectively with division presidents and C-suite leaders

Proven capability to lead through influence in matrixed organizations without direct authority.
Experience managing both inherited teams and building new capabilities from the ground up.
Track record of attracting, developing, and retaining diverse revenue operations talent.
Ability to drive accountability and performance while fostering collaboration and team engagement.
Comfortable operating in high-accountability, results-driven environments with rapid transformation timelines.
Communication and Interpersonal Skills
Exceptional communication skills with ability to translate technical concepts for diverse audiences including
executives, sales leaders, and cross-functional stakeholders.
Collaborative mindset with track record of aligning cross-functional stakeholders toward common goals.
Ability to navigate complex organizational dynamics and build consensus across divisions and geographies.
Clear, concise communication style that drives alignment, accountability, and results.
Strong listening skills with ability to understand regional nuances and business unit priorities.
Skilled at building trust and credibility quickly with new teams and leadership stakeholders.

Education and Experience
Bachelor's degree required; MBA or equivalent advanced degree preferred.
15+ years of experience in revenue operations, sales operations, or commercial leadership roles.
Minimum 7 years in senior or executive management positions with P&L impact or revenue accountability.
Proven success leading revenue operations for large-scale businesses exceeding $1B in annual revenue.
Deep understanding of SaaS and enterprise B2B operating models; experience in private equity-backed
software companies strongly preferred.
Track record of revenue operations transformation in global, complex sales environments.
Experience as a CRO's revenue operations partner or similar strategic operating role preferred.
Background in companies with multiple sales models serving enterprise customers highly valued.

Wolters Kluwer Leadership Competencies
Forging Purpose & Vision. Creates and articulates an inspiring vision that resonates with diverse
stakeholders, connecting daily execution to longer-term market trends and customer needs. Thinks beyond
convention and identifies non-obvious opportunities for revenue optimization and operational improvement.
Delivering Strategic Results. Balances enterprise-wide, system-level thinking with a bias for action andaccountability for results. Uses analytics and data to drive value, inform investment, and manage risk. Deliversincremental improvements that compound into significant business impact.
Leading Leaders & Culture. Identifies, attracts, and develops top talent; builds collaborative, agile teams withbroad expertise. Champions diversity, inclusion, and a culture of belonging. Operates with integrity, humility,and resilience while remaining calm and decisive in ambiguity.
Leading Self. Embraces learning, curiosity, and self-reflection. Models openness to feedback andcontinuous improvement. Courageously challenges the status quo for the benefit of the business and its people.
Demonstrates sound judgment, integrity, and care for the enterprise and its stakeholders.
Relationships & Influence. Builds trust and followership across all levels and geographies; communicates withclarity, empathy, and conviction. Persuades and aligns diverse groups to advance the division's andenterprise's agenda. Partners effectively in matrixed environments.
Success Metrics
Sales acceleration and year-over-year revenue growth improvement.
Forecast accuracy and pipeline health across all regions and sales channels.
Operational efficiency gains including reduction in sales cycle time and cost-to-sell.
Successful consolidation of technology stack and achievement of 70/30 enterprise/division operating model.
Measurable improvements in sales productivity and quota attainment.
Team engagement, retention, and organizational alignment scores.
Adoption rates of new systems, processes, and enablement program

Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$206,300.00 - $309,400.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.

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