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High Autonomy Jobs in Minnesota (NOW HIRING)

US Bank

Market Enablement Leader

Minneapolis, MN

Ability to operate with high autonomy in a founderclose role * Executiveready communication and stakeholder management * Bias toward action, learning, and iteration in ambiguous environments Location ...

Us Bank

Market Enablement Leader

Minneapolis, MN · On-site

$170.26 - $200.30/hr

Ability to operate with high autonomy in a founder‑close role * Executive‑ready communication and stakeholder management * Bias toward action, learning, and iteration in ambiguous environments If ...

Pentangle Tech

Embedded Firmware Software Engineer

Eagan, MN · On-site

$105K - $143K/yr

The position offers high autonomy, exposure to advanced technologies, and the opportunity to own the full firmware development lifecycle for net-new products rather than sustaining legacy systems.

U.S. Bank

Market Enablement Leader

Minneapolis, MN · On-site

This is a high-ownership role with significant autonomy, visibility to senior leadership, and the opportunity to shape how digital asset products reach market at scale. Key Responsibilities Go-to ...

NextEra Energy

Software Development Eng II

Saint Paul, MN · On-site

$103K - $154K/yr

You operate with high autonomy, acting as a critical technical bridge that turns business objectives into high-performing software. Key Responsibilities & Expectations 1. Engineering & System Design

Rolls-Royce

$84K - $137K/yr

Structured, proactive working style with high autonomy and solution orientation. * Very good English and German language skills. * High level of initiative and a proactive mindset. Benefits Rolls ...

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High Autonomy information

See Minnesota salary details

$21.4K

$112.4K

$267.2K

How much do high autonomy jobs pay per year?

As of Aug 18, 2026, the average yearly pay for high autonomy in Minnesota is $112,448.00, according to ZipRecruiter salary data. Most workers in this role earn between $52,467.00 and $149,143.00 per year, depending on experience, location, and employer.

What is high autonomy?

A High Autonomy job is a role where employees have significant independence in making decisions, managing tasks, and organizing their work. These roles typically require self-motivation, problem-solving skills, and the ability to prioritize responsibilities without constant supervision. High Autonomy jobs are common in fields like remote work, research, consulting, and leadership positions. They often provide flexibility in work hours and methods, allowing individuals to optimize productivity and efficiency. However, they also require accountability and strong time-management skills to ensure goals are met effectively.

What does high autonomy mean in a job context?

High autonomy in a job context refers to a work environment where employees have significant independence and control over how they perform their tasks. It means workers can make decisions about their schedules, methods, and priorities with minimal supervision. This type of job often encourages creativity, problem-solving, and personal responsibility, leading to higher job satisfaction and motivation. High autonomy roles are commonly found in creative, research, and leadership positions, but can be present in various industries.

How does a high-autonomy role typically structure collaboration and communication with the rest of the team?

In high-autonomy roles, professionals are trusted to take initiative and manage their own tasks, but effective collaboration and communication remain essential. Team members often use asynchronous tools like project management software, shared documents, and regular check-ins to stay aligned without micromanagement. While you may have significant independence in decision-making and time management, you’ll also participate in team meetings or stand-ups to share progress and coordinate on shared goals. This structure encourages both personal responsibility and open communication, fostering a supportive yet flexible work environment.

What are the key skills and qualifications needed to thrive in a high-autonomy role, and why are they important?

To thrive in a high-autonomy role, you need strong self-management skills, subject matter expertise, and the ability to independently set and achieve goals, typically supported by relevant education or experience in the field. Familiarity with project management tools, collaboration platforms, and time-tracking software is often necessary for remote coordination and task organization. Exceptional communication, proactive problem-solving, and accountability are vital soft skills that help individuals excel when working with minimal supervision. These abilities are important because they ensure productivity, maintain high standards, and drive results in environments that demand independent decision-making.

What is the difference between High Autonomy vs Data Analyst?

AspectHigh AutonomyData Analyst
Required CredentialsVaries; often self-taught or specialized trainingBachelor's degree in data science, statistics, or related field
Work EnvironmentIndependent, flexible, often remoteCollaborative, office or remote, team-based
Industry UsageAcross multiple industries for independent decision-makingPrimarily in data-driven roles within organizations
Search & Comparison IntentUnderstanding roles with high independenceUnderstanding data analysis roles and skills

High Autonomy roles focus on independent decision-making and flexibility, often requiring diverse skills and self-management. Data Analysts typically work within teams analyzing data to inform business decisions, with more structured environments and specific technical credentials. While both roles involve analytical skills, High Autonomy emphasizes independence, whereas Data Analysts focus on data interpretation within organizational settings.

What are popular job titles related to High Autonomy jobs in Minnesota?

For High Autonomy jobs in Minnesota, the most frequently searched job titles are:

What job categories do people searching High Autonomy jobs in Minnesota look for?

The top searched job categories for High Autonomy jobs in Minnesota are:

High Autonomy jobs near you
Infographic showing various High Autonomy job openings in Minnesota as of August 2026, with employment types broken down into 69% Full Time, 27% Part Time, and 4% Contract. Highlights an 94% In-person, and 6% Remote job distribution, with an average salary of $112,448 per year, or $54.1 per hour.

Senior Data Scientist Engineer - SFL Scientific

Deloitte

Minneapolis, MN • On-site

Full-time

Re-posted 27 days ago

Deloitte rating

8.2

Company rating: 8.2 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

44th of 150 rated financial services

Job description

Job Summary:
Deloitte is a leading consulting firm that provides strategic and transactional services to clients. They are seeking a Senior Data Scientist to collaborate with clients on designing and developing innovative data science projects and solutions, focusing on AI and machine learning applications.
Responsibilities:
• Guide clients with high autonomy in AI strategy and development, including understanding organizational needs, performing exploratory data analysis, building and validating models, and deploying models into production
• Lead client initiatives to deliver AI/ML solutions, including providing thought leadership, long-term maintenance, and AI strategy objectives
• Research and implement novel machine learning approaches, including advancing state-of-the-art training, solution design, network design, and hardware optimization
• Validate AI models and algorithm via code reviews, unit, and integration tests
• Support prioritization of project performance and model development and ensure AI solutions are delivered to maximize business impact and new initiatives
• Collaborate with data engineers, data scientists, project managers, and business teams to make sure delivery and presentations align with business objectives
Qualifications:
Required:
• Master's or PhD degree in a relevant STEM field (Data Science, Computer Science, Engineering, Mathematics, Physics, etc.)
• 3+ years of experience in AI/ML algorithm development using core data science languages and frameworks (Python, PyTorch, etc.) and data analysis (NLP, time-series analysis, computer vision)
• 3+ years of experience and a proven track record applying traditional ML and deep learning techniques (CNNs, RNNs, GANs) across real-world projects, including model tuning and performance validation in production environments
• 3+ years of experience deploying and optimizing ML models using tools like Kubernetes, Docker, TensorRT/Trion, RAPIDs, Kubeflow, and MLflow
• 3+ years of experience in leveraging cloud environments (AWS, Azure, or GCP) to deploy AI/ML workloads
• Live within commuting distance to one of Deloitte's consulting offices
• Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
• Limited immigration sponsorship may be available
Preferred:
• 2+ years of experience working in a client-facing, consulting environment
• 2+ years of experience leading project/client engagement teams in the execution of complex AI data science solutions
• 1+ year of experience with LLM/GenAI use cases and developing RAG solutions, tools, and services (i.e., LangChain, LangGraph, MCP, etc.)
• 1+ year of experience with AWS Sagemaker or AWS ML Studio
Company:
Deloitte is a business consulting company that offers audit, consulting, financial advisory, and tax services. Founded in 1845, the company is headquartered in London, GBR, with a team of 10001+ employees. The company is currently Late Stage.

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