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Remote Data Privacy information

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$11

$49

$90

How much do remote data privacy jobs pay per hour?

As of Jul 15, 2026, the average hourly pay for remote data privacy in Minnesota is $49.02, according to ZipRecruiter salary data. Most workers in this role earn between $28.26 and $64.70 per hour, depending on experience, location, and employer.

What is the difference between Remote Data Privacy vs Remote Data Privacy Analyst?

AspectRemote Data PrivacyRemote Data Privacy Analyst
CredentialsData privacy certifications, legal knowledgeData privacy certifications, analytical skills
Work EnvironmentRemote, compliance-focusedRemote, data analysis and privacy assessment
Industry UsageLegal, tech, healthcareTech, finance, healthcare
Job FocusDeveloping privacy policies, complianceAssessing data privacy risks, audits

Remote Data Privacy roles focus on creating privacy policies and ensuring compliance, often requiring legal and regulatory knowledge. Remote Data Privacy Analysts primarily analyze data practices, perform audits, and assess risks. Both roles are remote and industry-relevant, but differ in their core responsibilities and skill sets.

What are the key skills and qualifications needed to thrive as a Remote Data Privacy professional, and why are they important?

To excel as a Remote Data Privacy professional, you need a strong understanding of data protection laws (like GDPR and CCPA), risk assessment, and compliance frameworks, usually supported by a relevant degree or certification (such as CIPP or CIPM). Familiarity with data governance tools, privacy management systems, and encryption technologies is typically required. Exceptional attention to detail, problem-solving abilities, and strong communication skills set top performers apart in this role. These skills and qualifications are crucial to ensure organizations maintain regulatory compliance, protect sensitive information, and build stakeholder trust in a remote environment.

What is a Remote Data Privacy professional?

A Remote Data Privacy professional is someone who works from a remote location to ensure that an organization’s data collection, storage, and usage practices comply with privacy laws and regulations. They help protect sensitive information, develop privacy policies, and advise on best practices for handling data securely. These professionals may also conduct risk assessments, respond to data breaches, and train staff on privacy protocols. Their work is crucial for maintaining trust with clients and avoiding legal penalties related to data misuse.

What are some common challenges faced by remote data privacy professionals and how can they be addressed?

Remote data privacy professionals often face challenges such as ensuring secure data handling practices across different devices and networks, staying updated with global privacy regulations, and maintaining effective communication with cross-functional teams. To address these, professionals should leverage encrypted communication tools, follow strict data access protocols, and participate in regular training on evolving compliance requirements. Collaborating closely with IT, legal, and business units helps ensure that privacy standards are consistently met, even in a distributed work environment.
What are the most commonly searched types of Data Privacy jobs in Minnesota? The most popular types of Data Privacy jobs in Minnesota are:
What are popular job titles related to Remote Data Privacy jobs in Minnesota? For Remote Data Privacy jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Remote Data Privacy jobs in Minnesota look for? The top searched job categories for Remote Data Privacy jobs in Minnesota are:
What cities in Minnesota are hiring for Remote Data Privacy jobs? Cities in Minnesota with the most Remote Data Privacy job openings:
Remote Data Privacy jobs near you
Infographic showing various Remote Data Privacy job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 83% Full Time, 13% Part Time, and 3% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $101,955 per year, or $49 per hour.
Lead AI/ML Engineer - Remote

Lead AI/ML Engineer - Remote

UnitedHealth Group

Eden Prairie, MN • On-site, Remote

$104K - $137K/yr

Full-time

Retirement

Posted 24 days ago

UnitedHealth Group rating

7.6

Company rating: 7.6 out of 10

Based on 145 frontline employees who took The Breakroom Quiz

191st of 885 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.
This is a high-impact technical leadership role within the Optum Tech AI Transformation team, supporting key enterprise initiatives such as the Real-Time AI Underwriting platform. You will own the technical direction and people leadership for a squad of AI/ML engineers, driving strategic engineering efforts. Beyond building, you will lead, mentor, govern, and ensure that everything your team delivers meets the highest standards of quality, compliance, and Responsible AI. You'll serve as a bridge between engineering execution and leadership vision, ensuring AI investments translate into measurable, production-grade business outcomes.
You'll enjoy the flexibility to work remotely * from anywhere within the U.S. as you take on some tough challenges. For all hires in the Minneapolis or Washington, D.C. area, you will be required to work in the office a minimum of four days per week.
Primary Responsibilities:
  • Design, develop, and deploy production-grade AI-powered solutions-spanning classical ML, Generative AI (LLMs, RAG, Graph RAG), and multi-agent orchestration frameworks-to address complex business challenges with emphasis on responsible and secure AI practices
  • Own the end-to-end AI/ML technical roadmap, defining architectural direction, choosing optimal technologies, and establishing engineering and coding standards for the team's portfolio
  • Use enterprise-approved AI tools to streamline workflows, automate tasks, and drive continuous improvement across the development lifecycle, optimizing team productivity and operational efficiency
  • Evaluate emerging trends and technologies (such as Agentic AI, foundation models, fine-tuning, and enterprise AI tooling) to inform high-quality solution design and strategic innovation
  • Drive MLOps maturity across development pipelines, overseeing model versioning, CI/CD for ML, retraining automation, drift detection, and production monitoring
  • Ensure compliance and ethical governance by aligning solutions with enterprise policies, Responsible AI principles, and data privacy regulations (HIPAA/PHI handling)
  • Lead, mentor, and develop a team of 5-10 direct/indirect AI/ML engineers, setting clear goals, conducting regular 1:1s, and fostering a high-performance, self-managed culture
  • Own and conduct robust technical reviews (architecture, design, and code reviews) to enforce rigorous standards, security posture, and pythonic best practices

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:
  • 10+ years of software development experience with a strong engineering and architecture foundation
  • 2+ years of hands-on experience in AI/ML project implementation (full lifecycle from ideation, data analysis, model development through production deployment)
  • Hands-on experience with NLP (text processing, embeddings, transformers, NER, text classification, or conversational AI)
  • Working experience with GenAI (RAG pipelines, prompt engineering, LLM integration, fine-tuning techniques like LoRA, and enterprise deployment)
  • Experience or strong working knowledge of Agentic AI development (agentic workflows, tool orchestration, multi-agent systems, or planning frameworks)
  • Very solid Python programming skills with deep proficiency in production-grade coding, code reviews, and enforcing standards
  • Driver's license and access to reliable transportation

Preferred Qualifications:
  • Bachelor's or Master's degree in Computer Science, Engineering, Mathematics, Statistics, or a related field (or equivalent professional experience)
  • Experience with MLOps tooling (MLflow, Weights & Biases, Kubeflow, etc.) for experiment tracking, model registry, and automation
  • Familiarity with Responsible AI frameworks (bias detection, fairness metrics, model explainability like SHAP/LIME, and adversarial red-teaming)
  • Knowledge of Graph RAG, knowledge graphs, and ontology-based reasoning systems

*All employees working remotely will be required to adhere to UnitedHealth Group's Telecommuter Policy.
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 $145,500 - $249,500 annually based on full-time employment. We comply with all minimum wage laws as applicable.
Application Deadline: This will be posted for a minimum of 2 business days or until a sufficient candidate pool has been collected. Job posting may come down early due to volume of applicants.
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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