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Vp Data Science Jobs in Minnesota (NOW HIRING)

VP of Operations

Virginia, MN ยท On-site

$100 - $150/hr

Drive operational excellence through performance management, process optimization, and data-driven ... VP: * 5-10 years of senior leadership experience in operations, transportation, logistics, or a ...

Vice President, Marketing

Minneapolis, MN ยท On-site

$241.50 - $359/hr

Vice President, Marketing page is loaded## Vice President, Marketingremote type: Hybridlocations ... Data and Results Drive Approach:** Proficient in analyzing market data, customer insights, and ...

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Showing results 1-20

Vp Data Science information

See Minnesota salary details

$40.6K

$139.5K

$196.9K

How much do vp data science jobs pay per year?

As of Aug 29, 2026, the average yearly pay for vp data science in Minnesota is $139,527.00, according to ZipRecruiter salary data. Most workers in this role earn between $116,100.00 and $163,100.00 per year, depending on experience, location, and employer.

What does a VP of Data Science do?

A VP of Data Science leads and manages the data science team within an organization, setting the strategic vision for how data is used to drive business decisions. They oversee the development and implementation of data-driven solutions, ensure data quality and integrity, and collaborate with other executives to align data initiatives with company goals. Additionally, they mentor data scientists, manage budgets, and stay updated on the latest trends and tools in data science to keep their teams competitive.

What are the key skills and qualifications needed to thrive as a VP of Data Science?

To thrive as a VP of Data Science, you need advanced expertise in statistical analysis, machine learning, and big data, usually supported by a graduate degree in a quantitative field and extensive industry experience. Familiarity with tools like Python, R, SQL, cloud platforms (e.g., AWS, Azure), and data visualization systems, as well as experience managing enterprise data architectures, is crucial. Exceptional leadership, strategic thinking, and communication skills set top candidates apart in this role. These abilities are essential for guiding teams, influencing business decisions, and driving impactful data-driven strategies across the organization.

How does a VP of Data Science typically collaborate with cross-functional teams to drive business outcomes?

A VP of Data Science frequently works with product managers, engineering teams, and business stakeholders to align data initiatives with organizational goals. They play a strategic role in translating business challenges into data-driven solutions, ensuring that data science projects support decision-making and growth. Effective collaboration involves regular meetings, clear communication of technical concepts to non-technical audiences, and fostering a culture of data literacy across the organization. By bridging technical expertise and business acumen, the VP helps maximize the impact of data science initiatives.

What is the difference between Vp Data Science vs Data Science Manager?

AspectVp Data ScienceData Science Manager
ResponsibilitiesStrategic leadership, setting data science vision, overseeing multiple teamsManaging data science projects, team supervision, project delivery
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsDegree in related field, experience in managing data projects
Work EnvironmentExecutive-level, cross-departmental collaboration, strategic planningTeam management, project-focused, collaborative with data teams

The Vp Data Science typically holds a strategic, leadership role overseeing multiple teams and setting long-term data initiatives, while a Data Science Manager focuses on managing data projects and teams directly involved in execution. Both roles require strong technical backgrounds, but the Vp is more involved in high-level planning and organizational strategy.

What are the most commonly searched types of Data Science jobs in Minnesota?

The most popular types of Data Science jobs in Minnesota are:

What are popular job titles related to Vp Data Science jobs in Minnesota?

For Vp Data Science jobs in Minnesota, the most frequently searched job titles are:

Infographic showing various Vp Data Science job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 9% Part Time, and 6% Contract. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $139,527 per year, or $67.1 per hour.

Vice President, Data and Digital Solutions

HealthPartners/GHI

Bloomington, MN โ€ข On-site

$180 - $250/hr

Other

Posted 6 days ago


Job description

Job Description

Employer: HealthPartners/GHI

Job Title: Vice President, Data and Digital Solutions

Job Code: 4003836

Leader Title Level: Senior Vice President, Enterprise Data, AI, and Digital

Location: 8170/Hybrid

Department: Enterprise Data, AI, Digital and Information Technology

Final Approval (Dir. or VP Level): VP

Date Approved: 7/27/2026

Date Revised: 7/27/2026

Position Summary Statement

The Vice President, Data and Digital Solutions provides executive leadership for HealthPartnersโ€™ enterprise data, and digital ecosystem, driving strategy, innovation, and operational excellence across both the Health Plan and Care Delivery businesses. This leader is accountable for the digital products, data platforms, integration services, analytics, and AI-enabled solutions that enable seamless experiences, insights and operations across the organization's unique payer-provider model.Reporting directly to the Chief Digital Officer, this role leads the vision, strategy, investment prioritization, governance, delivery and operational performance for a broad portfolio.Working in partnership with senior leaders across technology, clinical operations and business functions, the Vice President drives development of a secure scalable and innovative digital ecosystem that supports enterprise priorities across both health insurance and healthcare delivery. This leader leverages data, technology and digital solutions to enhances experience for patients, members, providers, purchasers, and colleagues. Across HealthPartners integrated payer-provider model this position will enable trusted insights and improve decision making; streamlines business and clinical workflows; strengthens organizational performance; and advances HealthPartners' mission and vision.

Minimum Qualifications
  • Education, Experience or Equivalent Combination:
  • Bachelor's degree in Business Administration, Computer Science, Management Information Systems, Healthcare Administration, Data/Analytics, or related field, or an equivalent combination of education and experience.
  • Prior experience serving in an executive role responsible for data or digital delivery in a healthcare organization
  • 12+ years of progressive IT, data, digital, product, analytics, integration, strategy or technology leadership experience in a healthcare setting or similarly regulated environment.
  • 10 years leading leaders, managers, and multidisciplinary teams responsible for large-scale platforms, products, data assets, and/or enterprise portfolios.
  • Licensure/ Registration/ Certification:
  • N/A
  • Knowledge, Skills, and Abilities:
  • Demonstrated executive leadership across digital product management, web/mobile platforms, integration/middleware/API services, enterprise data management, data engineering, data governance, reporting/visualization, analytics, and AI/automation.
  • Deep understanding of healthcare delivery and health plan operations, including EMR/clinical systems, claims and payer datasets, member and patient portals, provider workflows, and customer-facing digital platforms.
  • Experience setting enterprise data and digital architecture strategy, standards, roadmaps, governance, and platform modernization plans in complex environments.
  • Strong working knowledge of privacy, security, compliance, audit, and regulatory requirements in healthcare and other regulated environments, including HIPAA, HITECH, and related data protection practices.
  • Proven ability to lead agile, waterfall, DevOps, and/or product operating models; manage 24x7 platform/application operations; and ensure continuity, resiliency, incident response, release/change control, and disaster recovery readiness.
  • Excellent executive communication, relationship management, negotiation, influence, and change leadership skills with the ability to translate technical, data, and digital priorities into business outcomes.
  • Strong business acumen, financial management, vendor management, portfolio prioritization, and KPI/ROI measurement capabilities.
Preferred Qualifications
  • Education, Experience or Equivalent Combination:
  • Master's degree in Computer Science, Management Information Systems, Business Administration, Healthcare Administration, Data/Analytics, or a related field.
  • Experience in an integrated health system or organization with both payer and provider operations.
  • Experience with Microsoft Azure, Databricks, cloud data platforms, data lakehouse patterns, modern API/integration platforms, and legacy data warehouse modernization.
  • Familiarity with Epic data, health plan claims/member/provider datasets, research data platforms, and clinical, operational, and financial analytics use cases.
  • Experience leading digital health, telehealth, mobile application, generative AI/NLP, predictive modeling, agent-assist, RPA, intelligent document processing, or automation initiatives with measured operational and customer experience benefits.
  • Experience leading large capital-funded portfolios and operating budgets of $10M+ annually.
  • Licensure/ Registration/ Certification:
  • Relevant certifications preferred, such as PMP, Agile/Scrum, ITIL, cloud, data governance, analytics, security, or product management certifications.
  • Knowledge, Skills, and Abilities:
  • Strong knowledge of value-based care, population health management, consumer digital health trends, interoperability, and emerging data, AI, and digital technologies.
  • Demonstrated ability to build high-performing, inclusive leadership teams; develop talent; and foster a positive, productive, and diverse work environment.
  • Advanced ability to quantify business value, including time saved, error reduction, improved service levels, quality outcomes, engagement, adoption, and operational efficiency.
Essential Duties

1. (25%) - Enterprise Data and Digital Strategy & Portfolio Leadership

  • Define and lead the enterprise strategy, roadmap, and investment portfolio for data, analytics, digital products, web/mobile systems, integration services, and AI/automation capabilities across Health Plan and Care Delivery.
  • Align data and digital initiatives with HealthPartners' mission, enterprise strategy, business priorities, clinical priorities, regulatory needs, and customer experience goals.
  • Lead demand intake, prioritization, capacity planning, portfolio governance, and executive decision support to balance business value, technical sustainability, risk, compliance, and operational readiness.
  • Establish enterprise KPIs, outcome measures, portfolio dashboards, and benefit-realization practices to demonstrate improvements in experience, quality, turnaround time, cost, service levels, reliability, and data-driven decision making.

2. (20%) - Digital Product, Web/Mobile, and Integration Delivery & Operations

  • Provide executive oversight for the full lifecycle of digital products and platforms, from ideation and discovery through launch, adoption, measurement, optimization, and retirement.
  • Oversee consumer-, member-, patient-, provider-, employer-, broker-, and colleague-facing digital experiences, including websites, portals, mobile applications, internal web applications, and digital content/user experience partnerships.
  • Direct platform delivery and 24x7 operations for web/mobile systems, API and integration services, middleware, enterprise service bus capabilities, release management, production support, monitoring, incident/problem management, and disaster recovery.
  • Ensure digital solutions are accessible, scalable, interoperable, secure, user-centered, compliant, and designed to improve care coordination, customer engagement, business workflows, and operational efficiency.

3. (20%) - Enterprise Data Management, Analytics, AI, and Automation

  • Lead enterprise data engineering, data architecture, data governance, data quality, data integration, reporting, visualization, virtualization, analytics, and data platform operations across modern and legacy environments.
  • Ensure enterprise data assets and reporting environments provide the availability, accuracy, consistency, timeliness, quality, integration, and usability needed by Health Informatics, HealthPartners Institute, health plan operations, care delivery, finance, actuarial, sales, underwriting, and other business areas.
  • Sponsor responsible AI and automation use cases, including generative AI/NLP, predictive models, agent-assist tools, RPA, and intelligent document processing, and ensure integration with core systems such as Epic, claims, member portals, and enterprise data platforms.
  • Promote reuse of data, digital, AI, and automation patterns, shared platforms, common services, standards, runbooks, and lessons learned across the enterprise.

4. (10%) - Governance, Security, Compliance, Risk, and Responsible Development/AI

  • Establish and enforce policies, standards, controls, and operating practices for enterprise data, digital platforms, integration services, reporting, analytics, and AI/automation solutions.
  • Partner with Privacy, Security, Compliance, Legal, Internal Audit, and business leaders to ensure appropriate PHI handling, access controls, audit readiness, data protection, model/automation documentation, versioning, change control, and ongoing performance monitoring.
  • Ensure products, platforms, data environments, and operational processes support HIPAA, HITECH, Sarbanes Oxley, SOC2, ICD standards, customer audits, regulatory commitments, and HealthPartners policies and procedures.
  • Oversee risk identification, mitigation planning, resiliency, continuity, platform wellness, disaster recovery, and compliance remediation for assigned systems, data assets, and digital services.

5. (15%) - Leadership, Talent, Culture, and Stakeholder Partnership

  • Lead, coach, and develop direct reports and their teams, including leaders responsible for web/mobile systems, digital product management, enterprise information management, AI/automation, product delivery, data engineering, analytics, integration, and platform operations.
  • Responsible for the supervision of staff, including authority to hire, transfer, lay off, promote, discipline, discharge, train, reward, and review employee performance in alignment with organizational and departmental policies and procedures.
  • Build trusted partnerships with clinical, health plan, operational, research, digital, information technology, finance, marketing, sales, and administrative leaders to translate business needs into executable roadmaps and measurable outcomes.
  • Foster an outstanding, highly motivated, inclusive, collaborative, and accountable leadership team and promote a positive, productive, and diverse work environment.

6. (10%) - Financial, Vendor, Contract, and Executive Governance Management

  • Prepare, manage, and oversee operating expense and capital budgets, resource plans, staffing models, and budget controls for assigned data and digital portfolios and cost centers.
  • Lead or participate in RFI/RFP processes, vendor selections, contract negotiations, service agreements, license renewals, statement-of-work approvals, and vendor performance reviews.
  • Represent Data and Digital Solutions in enterprise councils, steering committees, portfolio governance bodies, and executive forums, providing clear assessments of portfolio progress, risks, dependencies, benefits, and operational performance.
  • Authorize and monitor expenditures, manage vendor and internal partner deliverables, validate outcomes against acceptance criteria, and ensure lessons learned are incorporated into future work.

*Job description rankings/percentages are intended to reflect normal averages over an extended period of time, and are subject to daily variances. Quality and efficiency standards should at no time be compromised to meet the average expectations expressed above. Job descriptions are subject to change to accommodate organization or department needs.

Organizational Expectations Values

All colleagues are expected to live our values:

  • Excellence: We strive for the best results and always look for ways to improve.
  • Compassion: We care and show empathy and respect for each person.
  • Partnership: We are strongest when we work together and with those we serve.
  • Integrity: We are open and honest, and we keep our commitments.
Additional Expectations
  • Complies with safety instructions, observes safe work practices, provides input on safety issues, and promotes a safe work environment.
  • Maintains regular and timely attendance.
  • Protects confidentiality.
  • Demonstrates participation in and support of the organization's Corporate Integrity Program by participating in compliance-related education and training and complying with the organization's policies and procedures.
  • Timely completion of all mandatory education and organizational requirements (i.e., licensure/certification, Employee Health and Wellness requirements, annual training, etc.).
Population Specific Competencies

No direct patient contact is expected for this role. The leader is expected to support patient, member, and community needs through enterprise data, digital, privacy, safety, and operational practices.

Departments will need to determine the appropriate competencies in their areas for their specific patient populations documented in the essential duties section.

LEADERSHIP RESPONSIBILITY: This position provides executive leadership for the Data and Digital Solutions function. It directly leads three positions: Director Web and Mobile Systems, Senior; Senior Director, Digital Product Management; and Director, Enterprise Information Management. The role indirectly directs the managers, product managers/owners, business analysts, scrum masters, UX and digital content partners, engineers, architects, integration/API teams, data engineers, analysts, data governance professionals, reporting/visualization teams, AI/automation teams, platform operations teams, and vendor/partner resources within those functions. Scope includes ent