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Director Of Informatics Jobs in Minnesota (NOW HIRING)

Mayo Clinic

Senior Health Services Analyst

Rochester, MN · On-site

$93K - $140K/yr

As we work together to put the needs of the patient first, we are also dedicated to our employees ... Demonstrated proficiency in implementing project analysis plans, including the ability to direct ...

Mayo Clinic

Senior Health Services Analyst

Rochester, MN · Hybrid

$89K - $118K/yr

Contributes to the development of new projects, summarizes findings of comprehensive literature ... Demonstrated proficiency in implementing project analysis plans, including the ability to direct ...

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All JobsOf Informatics JobsDirector Of Informatics JobsDirector Of Informatics Jobs in Minnesota

Director Of Informatics information

See Minnesota salary details

$50.9K

$114.9K

$292.8K

How much do director of informatics jobs pay per year?

As of Aug 6, 2026, the average yearly pay for director of informatics in Minnesota is $114,867.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,300.00 and $133,200.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a director of informatics, and why are they important?

A Director Of Informatics needs a strong background in health informatics, data management, and leadership, often supported by an advanced degree in informatics, healthcare, or IT. Familiarity with electronic health record (EHR) systems, data analytics platforms, and certifications such as Certified Professional in Healthcare Information and Management Systems (CPHIMS) are commonly required. Outstanding strategic thinking, communication, and team management abilities help drive organizational change and foster cross-functional collaboration. These competencies are critical for guiding data-driven decision-making and ensuring the effective integration of technology in healthcare environments.

What does a director of informatics do?

A Director of Informatics oversees the management and integration of information technology systems within an organization, especially in healthcare or research settings. They are responsible for ensuring that data is collected, stored, and utilized effectively to support operational and strategic goals. This role often involves supervising teams, managing budgets, developing IT policies, and ensuring compliance with regulations. Additionally, Directors of Informatics collaborate with other departments to optimize data-driven decision-making and improve organizational efficiency.

How does a director of informatics typically collaborate with clinical and IT teams to implement new healthcare technologies?

A Director of Informatics plays a crucial role in bridging the gap between clinical staff and IT teams. They facilitate communication to ensure that technology solutions align with clinical workflows and patient care goals. This often involves leading cross-functional meetings, gathering feedback from end-users, and translating clinical requirements into technical specifications. By fostering collaboration, the Director helps drive successful adoption of new systems, troubleshoot implementation challenges, and promote continuous improvement in healthcare informatics processes.

What is the difference between Director Of Informatics vs Data Manager?

AspectDirector Of InformaticsData Manager
CredentialsBachelor's or Master's in Health Informatics, IT, or related fieldsBachelor's degree in Data Science, IT, or related fields; certifications like CDMP are common
Work EnvironmentHealthcare organizations, hospitals, research institutionsHealthcare, corporate, or research settings managing data operations
ResponsibilitiesOversees health informatics strategies, system implementations, and data integrationManages data collection, quality, and reporting processes

The Director Of Informatics focuses on strategic leadership and system integration in healthcare, while the Data Manager handles day-to-day data operations. Both roles require strong technical skills, but the director role emphasizes oversight and planning, whereas the data manager concentrates on data accuracy and management.

What does a director of clinical informatics do?

A director of informatics is a manager who oversees the implementation of electronic medical records systems in hospitals and other healthcare facilities. Duties include training medical staff on how to use the system. To pursue a career as a director of informatics, qualifications include a graduate certificate or master’s degree in health informatics and work experience. Some employers also require health informatics directors to have a medical degree. To succeed in this job, you need strong computer skills as well as an understanding of healthcare terminology and practices.

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Director Of Informatics jobs near you
Infographic showing various Director Of Informatics job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 13% Part Time, 1% Temporary, and 1% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $114,867 per year, or $55.2 per hour.

Principal Data & Analytics Strategist

Mayo Clinic

Rochester, MN

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago

Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 694 frontline employees who took The Breakroom Quiz

109th of 887 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

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Workplace

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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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