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Director Statistical Programming Jobs in Minnesota

The Process Engineering Manager reports to the Director of Quality and Engineering. Essential Job ... of statistical methods including statistical problem solving. § Highly developed written and ...

They apply engineering principles and statistical analysis to ensure the dependability, performance, and maintainability of equipment and processes throughout their entire lifecycle. Primary Duties ...

Reliability Engineer

Chanhassen, MN · On-site

$90K - $135K/yr

They apply engineering principles and statistical analysis to ensure the dependability, performance, and maintainability of equipment and processes throughout their entire lifecycle. Primary Duties ...

Responsibilities : • Serve as the technical authority for the STAT product, owning design ... delivering direct feedback, and investing in others' growth • Take accountability for team ...

Engineering Manager

Hamel, MN · On-site

$141K - $155K/yr

... statistics, Lean Six Sigma principles, and pragmatic AI enabled tools to improve rigor and decision ... Clear, direct communication style and credibility across technical and business audiences.

Engineering Manager

Hamel, MN · On-site

$141K - $155K/yr

... statistics, Lean Six Sigma principles, and pragmatic AI enabled tools to improve rigor and decision ... Clear, direct communication style and credibility across technical and business audiences.

They apply engineering principles and statistical analysis to ensure the dependability, performance, and maintainability of equipment and processes throughout their entire lifecycle. Primary Duties ...

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Director Statistical Programming information

See Minnesota salary details

$150.3K

$274.4K

$336.9K

How much do director statistical programming jobs pay per year?

As of Jun 26, 2026, the average yearly pay for director statistical programming in Minnesota is $274,379.00, according to ZipRecruiter salary data. Most workers in this role earn between $255,100.00 and $315,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Director of Statistical Programming, and why are they important?

To thrive as a Director of Statistical Programming, you need advanced expertise in statistical analysis, programming languages such as SAS or R, and a strong background in clinical trial data, typically supported by a degree in statistics, mathematics, or a related field. Familiarity with regulatory submission processes, CDISC standards, and project management tools is essential, as are relevant certifications like SAS Certified Professional. Leadership, effective communication, and strategic thinking are key soft skills for managing teams and collaborating across departments. These skills ensure high-quality data outputs, regulatory compliance, and successful execution of complex clinical development projects.

What Is the Job of a Director Statistical Programming?

The job of a director of statistical programming oversees the development and implementation of SAS programs to produce statistical analysis datasets. In this career, your responsibilities include managing the team that generates tables and graphs using the SAS programs for applications such as clinical studies. Other duties include participating in the planning and review of statistical analysis and studying reports, abstracts, and manuscripts as required. You collaborate with project leads to contribute to department operations and standards, such as CDISC for clinical research.

How does a Director of Statistical Programming typically collaborate with cross-functional teams in a pharmaceutical or biotech company?

A Director of Statistical Programming regularly works with biostatistics, clinical data management, regulatory affairs, and medical writing teams to ensure that statistical deliverables meet project timelines and regulatory requirements. They coordinate programming efforts across multiple studies, provide leadership and mentorship to programming staff, and help resolve technical or resource-related challenges. Effective collaboration is essential to streamline workflows, maintain data integrity, and ensure clear communication of statistical results within the organization.

What does a Director of Statistical Programming do?

A Director of Statistical Programming oversees teams responsible for the programming and analysis of clinical trial data, ensuring the accuracy and integrity of statistical outputs. They set departmental strategies, manage resources, and ensure compliance with regulatory requirements and industry standards. This role also involves collaborating with other departments, such as biostatistics and clinical operations, to support the successful delivery of statistical analyses for drug development and regulatory submissions. They play a key leadership role in mentoring staff and advancing programming processes and technologies.
What are popular job titles related to Director Statistical Programming jobs in Minnesota? For Director Statistical Programming jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Director Statistical Programming jobs in Minnesota look for? The top searched job categories for Director Statistical Programming jobs in Minnesota are:
What cities in Minnesota are hiring for Director Statistical Programming jobs? Cities in Minnesota with the most Director Statistical Programming job openings:
Infographic showing various Director Statistical Programming job openings in Minnesota as of June 2026, with employment types broken down into 2% As Needed, 81% Full Time, and 17% Part Time. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $274,379 per year, or $131.9 per hour.
Director - AI/ML Engineering - Hybrid in Minnetonka, MN

Director - AI/ML Engineering - Hybrid in Minnetonka, MN

UnitedHealth Group

Minnetonka, MN • On-site

$176K - $302K/yr

Full-time

Retirement

Posted 3 days ago


UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 141 frontline employees who took The Breakroom Quiz

188th of 876 rated healthcare providers


Job description

Optum Tech is a global leader in health care innovation. Our teams develop cutting-edge solutions that help people live healthier lives and help make the health system work better for everyone. From advanced data analytics and AI to cybersecurity, we use innovative approaches to solve some of health care's most complex challenges. Your contributions here have the potential to change lives. Ready to build the next breakthrough? Join us to start Caring. Connecting. Growing together.
Director, Applied AI & Data Science is a hands-on technology delivery leader responsible for identifying, shaping, and delivering AI-driven transformations across MedicareIQ program. This role partners closely with business partners to uncover high-impact opportunities where AI [Data Science, Machine learning and Agentic AI ] can materially improve cost, operational efficiency, and member outcomes, and to translate those opportunities into funded, enterprise-scale initiatives.
This leader curates and prioritizes a portfolio of AI use cases, defines clear value propositions and success metrics, and builds executive-ready proposals grounded in business value, risk, and feasibility. The role requires solid leadership presence to influence investment decisions, secure funding, and champion initiatives from concept through approval and scaled delivery.
This position follows a hybrid schedule with four in-office days per week.
Primary Responsibilities:
  • Drive end-to-end AI enabled software delivery aligned to business transformation with measurable outcomes within MedicareIQ program
  • Partners with business leaders to identify and shape high impact opportunities where AI can drive transformative outcomes. Develops executive ready use cases with clear value propositions and presents them to senior leadership to secure alignment and funding
  • Own end-to-end lifecycle delivery of Software Engineering - from problem framing and design through development, deployment, scaling, and optimization of production grade Data Science, Machine learning and Agentic AI solutions
  • Provide technical leadership ensuring scalable, secure, and resilient production-ready systems
  • Embed responsible and secure AI practices across the delivery lifecycle, including governance, fairness, transparency, compliance, and adherence while adhering to enterprise security standards
  • Build and lead high performing greenfield AI engineering team, fostering a culture of innovation, continuous learning, team mentorship and engineering excellence
  • Partner cross-functionally across product, finance, compliance, infrastructure, security, and business leaders to deliver integrated, enterprise-aligned AI solutions
  • Communicate AI purpose, delivery progress, and business impact with clarity and executive presence to senior leadership

You'll be rewarded and recognized for your performance in an environment that will challenge you and give you clear direction on what it takes to succeed in your role as well as provide development for other roles you may be interested in.
Required Qualifications:
  • 12+ years of experience in the IT industry with Master's degree in Statistics, Computer Science, Mathematics, Data Science, or a related discipline
  • 5+ years of enterprise leadership experience defining strategy, architecture, and delivery across multiple teams
  • 3+ years of experience leading largescale applied AI/ML engineering organizations (20-50+ team consisting of engineers, data scientists, and ML engineers, across shores) delivering end-to-end production-grade software platforms
  • Proven success with building and operating AI enabled software products-from full stack application development to AI/ML integrated solution-with multi-million-dollar annual budgets in healthcare or similarly regulated environments
  • Demonstrated solid business acumen with ability to link AI investments to ROI, risk, and strategic outcomes
  • Demonstrated executive communication skills and ability to influence funding and prioritization decisions

Preferred Qualifications:
  • Proven deep domain expertise in healthcare and regulatory frameworks
  • Demonstrated success in scaling GenAI and enterprise-grade ML capabilities across large enterprises
  • Proven solid understanding of Medicare regulatory needs including data governance, privacy, and HIPAA compliance
  • Proficiency in solving combinatorial optimization challenges through AI, and integrating them into mainstream solutions

Pay is based on several factors including but not limited to local labor markets, education, work experience, certifications, etc. In addition to your salary, we offer benefits such as, a comprehensive benefits package, incentive and recognition programs, equity stock purchase and 401k contribution (all benefits are subject to eligibility requirements). No matter where or when you begin a career with us, you'll find a far-reaching choice of benefits and incentives. The salary for this role will range from $176,700 to $302,900 annually based on full-time employment. We comply with all minimum wage laws as applicable.
At UnitedHealth Group, our mission is to help people live healthier lives and make the health system work better for everyone. We believe everyone-of every race, gender, sexuality, age, location and income-deserves the opportunity to live their healthiest life. Today, however, there are still far too many barriers to good health which are disproportionately experienced by people of color, historically marginalized groups and those with lower incomes. We are committed to mitigating our impact on the environment and enabling and delivering equitable care that addresses health disparities and improves health outcomes - an enterprise priority reflected in our mission.
UnitedHealth Group is an Equal Employment Opportunity employer under applicable law and qualified applicants will receive consideration for employment without regard to race, national origin, religion, age, color, sex, sexual orientation, gender identity, disability, or protected veteran status, or any other characteristic protected by local, state, or federal laws, rules, or regulations.
UnitedHealth Group is a drug - free workplace. Candidates are required to pass a drug test before beginning employment.

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