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Pattern Making Jobs in Minnesota (NOW HIRING)

Monitors heart rhythm pattern for identified patient care areas using telemetry equipment. Analyzes ... Exhibits critical thinking skills and appropriate judgments in decision making and actions related ...

Monitors heart rhythm pattern for identified patient care areas using telemetry equipment. Analyzes ... Exhibits critical thinking skills and appropriate judgments in decision making and actions related ...

Monitors heart rhythm pattern for identified patient care areas using telemetry equipment. Analyzes ... Exhibits critical thinking skills and appropriate judgments in decision making and actions related ...

Monitors heart rhythm pattern for identified patient care areas using telemetry equipment. Analyzes ... Exhibits critical thinking skills and appropriate judgments in decision making and actions related ...

Staff Product Designer

Minneapolis, MN · On-site +1

$197K/yr

... making. * Synthesize user feedback, business objectives, and platform constraints into actionable design recommendations. * Integrate emerging design patterns, platform capabilities, AI-enabled ...

Showing results 21-40

Pattern Making information

See Minnesota salary details

$32.8K

$75.8K

$123.4K

How much do pattern making jobs pay per year?

As of Aug 22, 2026, the average yearly pay for pattern making in Minnesota is $75,783.00, according to ZipRecruiter salary data. Most workers in this role earn between $47,000.00 and $84,200.00 per year, depending on experience, location, and employer.

What is pattern making?

A Pattern Making job involves creating templates or blueprints for garments, accessories, or other textile-based products. Pattern makers translate design sketches into accurate patterns that guide the cutting and sewing process in production. They use specialized software or manual techniques to ensure proper fit, proportions, and construction details. Precision and attention to detail are essential, as patterns dictate the final look and functionality of a product.

What are the key skills and qualifications needed to thrive in pattern making?

To thrive in Pattern Making, a strong understanding of garment construction, dimensional accuracy, and textile properties is essential, often supported by coursework or experience in fashion design or apparel technology. Familiarity with pattern drafting software like Gerber, Optitex, or CAD systems is typically required, and formal certifications can be an advantage. Attention to detail, creative problem-solving, and effective teamwork are important soft skills for success in this role. These skills ensure the creation of functional, well-fitting garments and facilitate smooth collaboration within the production team.

What are some common challenges faced by pattern makers in the apparel industry?

Pattern Makers often encounter challenges such as accommodating unique design specifications while ensuring garments maintain proper fit and functionality. Balancing creative vision with technical limitations, especially when working with new fabrics or manufacturing processes, can require innovative problem-solving. Additionally, managing tight deadlines and frequent iterations with design and production teams demands strong organizational skills. Collaborating closely with designers, sample makers, and production staff is key to overcoming these challenges and achieving high-quality, finished products.

How do I become a pattern maker?

To become a pattern maker, you typically need a high school diploma or equivalent, followed by training in fashion design, pattern making, or a related field through vocational schools, community colleges, or apprenticeships. Skills in sewing, drafting, and using pattern-making software like Gerber or Optitex are essential, along with experience in garment construction and attention to detail.

How much money does a pattern maker make?

Pattern makers typically earn between $35,000 and $70,000 annually, depending on experience, location, and industry. Skilled pattern makers with advanced knowledge of CAD software and sewing techniques may earn higher salaries, especially in fashion or apparel manufacturing environments.

Is pattern making a good career?

Pattern making is a skilled profession in the fashion and apparel industry, involving creating templates for garments. It requires knowledge of sewing, design, and technical skills, often utilizing CAD software. The career can be stable with opportunities for advancement, but job availability depends on industry demand and geographic location.

What career can you have with pattern making?

Pattern making is a key skill in the fashion and apparel industry, enabling careers such as fashion designer, technical designer, sample maker, or pattern maker. Professionals in this field often work in clothing manufacturing, costume design, or product development, utilizing tools like CAD software and sewing techniques. Advanced skills and certifications can lead to roles in design management or pattern technical consulting.

What are popular job titles related to Pattern Making jobs in Minnesota?

For Pattern Making jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching Pattern Making jobs in Minnesota look for?

The top searched job categories for Pattern Making jobs in Minnesota are:

Infographic showing various Pattern Making job openings in Minnesota as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $75,783 per year, or $36.4 per hour.

Principal Data & Analytics Strategist

Mayo Clinic

Rochester, MN • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 24 days ago


Mayo Clinic rating

7.8

Company rating: 7.8 out of 10

Based on 699 frontline employees who took The Breakroom Quiz

128th of 891 rated healthcare providers


Job description


The Principal Data Analytics & AI Strategist is a principal-level individual contributor who serves as a technical authority and enterprise-level 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 high-risk or high-impact initiatives, and accelerates progress through hands-on 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, enterprise-wide decision-making-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.
About Us
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.

About the Team
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.

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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