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Md Mba Jobs in Rochester, MN (NOW HIRING)

Sweatpals

Product Manager Internship

Rochester, MN · On-site

Currently enrolled in an MBA, master's, or other graduate program - or a strong undergraduate candidate with relevant experience * Prior experience in product management, engineering, or a fast ...

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Md Mba information

What is an MD MBA?

MD MBA professionals are individuals who have earned both a Doctor of Medicine (MD) degree and a Master of Business Administration (MBA). These dual-degree holders have expertise in both clinical medicine and business management, allowing them to bridge the gap between healthcare and business operations. They often work in leadership roles in hospitals, healthcare organizations, pharmaceuticals, consulting, or entrepreneurship, using their combined skills to improve healthcare delivery, efficiency, and innovation. The dual degree is particularly valuable for those seeking careers in healthcare administration, policy-making, or medical entrepreneurship.

How do MD MBA professionals balance clinical responsibilities with administrative or leadership roles?

Professionals holding both MD and MBA degrees often split their time between patient care and organizational leadership tasks. Balancing these responsibilities requires strong time management and the ability to prioritize urgent clinical needs alongside strategic business decisions. Many MD/MBAs find themselves in roles such as medical directors, department heads, or healthcare consultants, where they collaborate with interdisciplinary teams to improve patient outcomes and operational efficiency. It's common for schedules to be flexible, allowing them to participate in both clinical rounds and leadership meetings, depending on organizational needs.

What are the key skills and qualifications needed to thrive as an MD MBA?

To thrive as an MD MBA, you need a strong foundation in clinical medicine, healthcare management, and business strategy, typically supported by a medical degree (MD) and a Master of Business Administration (MBA). Familiarity with healthcare information systems, financial analysis tools, and regulatory compliance software is essential. Leadership, strategic thinking, and effective communication are vital soft skills for bridging clinical practice with organizational goals. These skills enable MD MBAs to drive innovation, optimize healthcare delivery, and lead teams effectively in complex healthcare environments.

What is the difference between Md Mba vs Financial Analyst?

AspectMd MbaFinancial Analyst
Required CredentialsMd Mba, often with additional certifications like CFA or CPABachelor's degree in finance, accounting, or related field; CFA often preferred
Work EnvironmentCorporate, managerial, strategic planning rolesFinancial modeling, data analysis, reporting in finance departments
Employer & Industry UsageBusiness organizations, consulting firms, banksCorporations, investment firms, banks, consulting
Common Search & ComparisonYesYes

The Md Mba is a versatile degree suited for managerial and strategic roles across industries, often requiring additional certifications. Financial Analysts focus on data analysis, financial modeling, and reporting within finance departments. While both roles may work in similar environments, Md Mba holders typically pursue leadership positions, whereas Financial Analysts concentrate on financial data analysis and advising.

How much do MD MBAs make?

MD MBAs typically earn between $150,000 and $300,000 annually, depending on experience, location, and industry. They often work in healthcare management, consulting, or executive roles, where leadership and business skills are essential.

What can you do with a MD MBA degree?

An MD MBA degree prepares healthcare professionals for leadership roles in healthcare management, administration, consulting, and policy. Graduates can work as hospital administrators, healthcare executives, medical directors, or in roles that combine clinical expertise with business skills, often requiring knowledge of healthcare regulations and strategic planning.

What job categories do people searching Md Mba jobs in Rochester, MN look for?

The top searched job categories for Md Mba jobs in Rochester, MN are:

What cities near Rochester, MN are hiring for Md Mba jobs?

Cities near Rochester, MN with the most Md Mba job openings:

Md Mba jobs near you

Principal Data & Analytics Strategist

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 21 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

127th of 888 rated healthcare providers

Job description

Why Mayo Clinic

Mayo Clinic is top-ranked in more specialties than any other care provider according to U.S. News & World Report. As we work together to put the needs of the patient first, we are also dedicated to our employees, investing in competitive compensation and comprehensive benefit plans - to take care of you and your family, now and in the future. And with continuing education and advancement opportunities at every turn, you can build a long, successful career with Mayo Clinic.

Benefits Highlights
  • Medical: Multiple plan options.
  • Dental: Delta Dental or reimbursement account for flexible coverage.
  • Vision: Affordable plan with national network.
  • Pre-Tax Savings: HSA and FSAs for eligible expenses.
  • Retirement: Competitive retirement package to secure your future.

Responsibilities

The Principal Data Analytics & AI Strategist is a principallevel individual contributor who serves as a technical authority and enterpriselevel thought leader for data, analytics, and AI solution direction across products, platforms, and strategic problem areas. This role shapes how enterprise data, analytics and AI strategy is translated into scalable solution patterns, architectural guardrails, and delivery models that can be consistently executed across teams. 

The role connects system-level technical decisions to broader enterprise data and analytics strategy, governance, and investment intent-ensuring initiatives are interoperable, governable, and positioned to deliver sustained, measurable value at scale. The Principal Data Analytics & AI Strategist operates across high ambiguity, making and documenting complex tradeoffs related to platform capabilities, data architecture, analytics and AI patterns, operating constraints, and sequencing of delivery.

Working across domains and portfolios, the Principal Data Analytics & AI Strategist influences the full solution lifecycle-from opportunity framing and options analysis through solution design guidance and delivery oversight. The role defines and socializes reference architectures, preferred patterns, and decision frameworks, supports highrisk or highimpact initiatives, and accelerates progress through handson exploration and prototyping where early technical validation is critical.

 The Principal Data Analytics & AI Strategist partners closely with senior leaders and practitioners across data engineering, analytics/BI, AI/ML, platform, security, and governance functions to align on technical direction, surface risks and dependencies early, and enable timely, enterprisewide decisionmaking-exerting influence without direct authority to drive clarity, consistency, and execution momentum.


Qualifications
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required.
  • Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred.
  • Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline.
  • Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios.
  • Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials.
  • Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability).
  • Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments.
  • Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations.
  • Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills.
  • Certification in one or more major cloud platforms (Google, Azure, etc)
  • Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time.
  • Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring).
  • Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs.
  • Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams.

The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready. 


Exemption Status
Exempt
Compensation Detail
$204,256.00 - $306,384.00 / year. Education, experience and tenure may be considered along with internal equity when job offers are extended.
Benefits Eligible
Yes
Schedule
Full Time
Hours/Pay Period
80
Schedule Details
M-F daytime hours 100% remote role, the employee needs to live within the US.
Weekend Schedule
As business needs dictate
International Assignment
No
Site Description
Just as our reputation has spread beyond our Minnesota roots, so have our locations. Today, our employees are located at our three major campuses in Phoenix/Scottsdale, Arizona, Jacksonville, Florida, Rochester, Minnesota, and at Mayo Clinic Health System campuses throughout Midwestern communities, and at our international locations. Each Mayo Clinic location is a special place where our employees thrive in both their work and personal lives. Learn more about what each unique Mayo Clinic campus has to offer, and where your best fit is. 

Equal Opportunity

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity, sexual orientation, national origin, protected veteran status or disability status. Learn more about the 'EOE is the Law'.  Mayo Clinic participates in E-Verify and may provide the Social Security Administration and, if necessary, the Department of Homeland Security with information from each new employee's Form I-9 to confirm work authorization.

Recruiter
Laura PercivalQualifications:
  • Bachelor's degree in computer science, information systems, engineering, mathematics, statistics, data science, or related field from an accredited University or College is required.
  • Master's degree or PhD in a related field (e.g., computer science, data science, business analytics, healthcare informatics, or MBA) is preferred.
  • Extensive (15-20+ years) experience in enterprise data, analytics, and/or AI strategy, architecture, consulting, product/program delivery, or related discipline.
  • Demonstrated experience defining enterprise-level strategy and translating it into executable roadmaps, capability models, and delivery guardrails across multiple portfolios.
  • Proven ability to communicate complex technical implementation concepts to executive leadership, including architecture tradeoffs, investment options, risk, and sequencing; produces clear, decision-ready materials.
  • Strong working knowledge of modern data and analytics concepts (data products, data platforms, pipelines, BI/visualization, governance, metadata, quality, privacy/security fundamentals, and observability).
  • Experience influencing across senior stakeholders and cross-functional teams (engineering, analytics, AI/ML, security, privacy, architecture, governance) to drive alignment and decisions in ambiguous environments.
  • Experience operating in regulated environments (e.g., healthcare, research, financial services), with familiarity with privacy, compliance, governance, and responsible AI expectations.
  • Demonstrated facilitation skills for executive and technical audiences (workshops, strategic reviews, governance forums) and strong written communication skills.
  • Certification in one or more major cloud platforms (Google, Azure, etc)
  • Experience establishing or evolving enterprise data operating models (e.g., data product operating model, platform governance, domain engagement, stewardship models) and measuring adoption/maturity over time.
  • Experience developing and/or governing enterprise AI strategy, including responsible AI controls, model risk management, and GenAI/agentic patterns (grounding, evaluation, monitoring).
  • Experience with cloud data platforms and modern architecture patterns (lakehouse/warehouse, streaming/eventing, semantic layers/metrics, MDM/reference data), including cost/value tradeoffs.
  • Demonstrated experience building reusable playbooks, reference architectures, templates, and standards that scale delivery across multiple teams.

The ideal candidate will have prior experience in working through large scale AI transformations for organizations including creation of vector stores, Knowledge graphs, MCP servers and getting an organization data teams AI ready. 

What Mayo Clinic employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Mayo Clinic logo

About Mayo Clinic

Sourced by ZipRecruiter

Mayo Clinic is the largest integrated, not-for-profit medical group practice in the world. We're building the future, one where the best possible care is available to everyone — and more people can heal at home. Our relentless research turns into earlier diagnoses and new cures. That's how we inspire hope in those who need it most. At Mayo Clinic, experts work together to solve the most challenging unmet needs of patients. Our history of innovation dates back almost 150 years, when brothers Will and Charlie Mayo pioneered an integrated, team-based approach to medicine. Today, that trailblazing spirit drives innovations like Mayo Clinic Platform — which powers new technologies to change how care is delivered to all.

Industry

Hospitals

Company size

10,000+ Employees

Headquarters location

Rochester, MN, US

Year founded

1919

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