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Strategic Risk Solutions Jobs in Minnesota (NOW HIRING)

Ecolab

AI Solution Architect

Saint Paul, MN · On-site

$63.75 - $84/hr

As the AI Solutions Architect - Legal, you will lead the architecture, design, and delivery of ... Drive technology strategy and roadmap recommendations for legal workflow automation and AI enabled ...

Integris

Strategic Account Advisor

Duluth, MN · On-site

... solutions. Were looking for talent that thrives in a culture of clarity, trust, and relentless ... Conduct regular risk assessments to anticipate and address client satisfaction issues, managing ...

RELX

AI Data Analyst

Minneapolis, MN · On-site

LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business ... embedding strategies. * Does not make final governance or compliance decisions independently.

Entrust Corp.

Customer Solution Manager

Shakopee, MN · On-site

The Customer Solutions Manager (CSM) is a strategic, post-sale professional responsible for ... Risk Mitigation & Cross-Functional Orchestration - Proactively identify customer risks, including ...

Vomela

Strategic Account Director

Saint Paul, MN

$125K/yr

... solutions and foster meaningful connections. And while you're focused on creating big things for ... Risk Management & Escalation Leadership * Identify operational, financial, service, and ...

Vomela

Strategic Account Director

Saint Paul, MN · On-site

$125K/yr

... solutions and foster meaningful connections. And while you're focused on creating big things for ... Risk Management & Escalation Leadership * Identify operational, financial, service, and ...

Vomela

Strategic Account Director

Saint Paul, MN · On-site

$125K/yr

... solutions and foster meaningful connections. And while you're focused on creating big things for ... Risk Management & Escalation Leadership * Identify operational, financial, service, and ...

Target

Sr Manager Risk and Controls

Minneapolis, MN · On-site

$95K - $171K/yr

... innovative risk management solutions. Championing an adaptive, initiative driven and ... strategies to strengthen the overall control environment. Success in this role requires sound ...

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Strategic Risk Solutions information

What is the difference between Strategic Risk Solutions vs Risk Analyst?

AspectStrategic Risk SolutionsRisk Analyst
CredentialsTypically requires risk management certifications, such as CRM or FRMOften requires a degree in finance, economics, or related fields; certifications like FRM are common
Work EnvironmentConsulting firms, corporate risk departments, or insurance companiesFinancial institutions, corporations, or consulting firms
Industry UsageUsed across industries for enterprise risk management and strategic planningPrimarily in finance, insurance, and corporate sectors for risk assessment

Strategic Risk Solutions professionals focus on providing risk management strategies and consulting services, often working with clients to develop enterprise-wide risk frameworks. Risk Analysts typically analyze data to identify potential risks within organizations, supporting decision-making processes. While both roles involve risk assessment, Strategic Risk Solutions emphasizes strategic planning and consulting, whereas Risk Analysts focus on data analysis and risk evaluation.

What are the key skills and qualifications needed to thrive as a Strategic Risk Solutions Consultant, and why are they important?

To thrive as a Strategic Risk Solutions Consultant, you need expertise in risk management, analytical skills, and a relevant degree such as finance, business, or risk management. Familiarity with risk assessment tools, regulatory compliance platforms, and industry certifications like CRM or FRM are highly valuable. Strong communication, problem-solving, and stakeholder management skills help distinguish top performers in this field. These competencies ensure effective identification and mitigation of risks, enabling organizations to achieve their strategic objectives securely.

What are some common challenges faced by professionals working in Strategic Risk Solutions, and how can they be addressed?

Professionals in Strategic Risk Solutions often encounter challenges such as rapidly evolving regulatory requirements, integrating risk management across diverse business units, and communicating complex risk scenarios to non-expert stakeholders. Staying current with industry regulations and fostering continuous learning are essential for success. Additionally, building strong relationships with teams across the organization and using clear, data-driven communication strategies can help bridge knowledge gaps and ensure risk processes are understood and adopted effectively.

What are Strategic Risk Solutions?

Strategic Risk Solutions refers to specialized services or firms that help organizations identify, assess, and manage risks that could impact their long-term goals and performance. These solutions involve analyzing potential threats, developing risk management strategies, and implementing controls to minimize negative impacts. Professionals in this field work with businesses to create tailored risk frameworks, ensure regulatory compliance, and enhance decision-making. Their expertise covers areas such as financial risk, operational risk, compliance, and emerging risks like cybersecurity. By leveraging strategic risk solutions, organizations can protect assets, improve resilience, and seize new opportunities.
What are popular job titles related to Strategic Risk Solutions jobs in Minnesota? For Strategic Risk Solutions jobs in Minnesota, the most frequently searched job titles are:
What job categories do people searching Strategic Risk Solutions jobs in Minnesota look for? The top searched job categories for Strategic Risk Solutions jobs in Minnesota are:
What cities in Minnesota are hiring for Strategic Risk Solutions jobs? Cities in Minnesota with the most Strategic Risk Solutions job openings:
Strategic Risk Solutions jobs near you
Infographic showing various Strategic Risk Solutions job openings in Minnesota as of July 2026, with employment types broken down into 1% As Needed, 87% Full Time, 10% Part Time, and 2% Contract. Highlights an 90% Physical, 4% Hybrid, and 6% Remote job distribution.
AI Solution Architect

AI Solution Architect

Ecolab

Saint Paul, MN • On-site

$63.75 - $84/hr

Full-time

Posted 12 days ago

Ecolab rating

7.5

Company rating: 7.5 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

53rd of 92 rated chemical manufacturers

Job description

As the AI Solutions Architect - Legal, you will lead the architecture, design, and delivery of enterprise AI solutions that transform how Legal, Compliance, Procurement, and Regulatory stakeholders operate. You will be responsible for translating complex legal business challenges into scalable, secure, governed, and production ready AI solutions that integrate seamlessly with Contract Lifecycle Management (CLM) platforms, legal workflow tools, enterprise systems, and authoritative systems of record.
This is a hands on architecture role, not a purely advisory position. In addition to owning solution architecture and technical direction, you will actively design, develop, validate, and deploy production ready AI capabilities, reference implementations, integrations, and workflow automation solutions.
You will establish architecture patterns, guide platform and technology decisions, evaluate buy versus build opportunities, and ensure AI is embedded into governed and auditable legal processes. Success in this role requires deep technical expertise, strong solution architecture capabilities, and the ability to influence stakeholders across Legal, IT, Security, Compliance, Procurement, and enterprise technology teams.
What you will do
Solution Architecture & Technical Leadership
  • Architect end-to-end AI enabled legal solutions spanning intake, contract lifecycle management, compliance workflows, legal operations, document intelligence, and post signature insights.
  • Translate business challenges into scalable technical architectures, including application design, workflow orchestration, integration patterns, data flows, security controls, AI services, and deployment models.
  • Define solution blueprints, reference architectures, reusable design patterns, and technical standards for Legal AI initiatives.
  • Lead architecture reviews and technical decision making across legal technology platforms, enterprise systems, and AI capabilities.
  • Drive technology strategy and roadmap recommendations for legal workflow automation and AI enabled legal operations.

AI Solution Design & Delivery
  • Design and deliver production ready AI agents, copilots, orchestration services, APIs, and automation solutions that solve legal business challenges.
  • Develop AI enabled capabilities supporting contract analysis, clause extraction, obligation tracking, document summarization, compliance validation, legal intake, risk identification, and workflow acceleration.
  • Design and implement agentic and multi agent architectures that integrate intelligence services into governed legal workflows.
  • Establish evaluation frameworks, monitoring patterns, observability standards, and performance metrics to ensure reliable AI solution operation.
  • Lead architecture decisions regarding model selection, orchestration approaches, retrieval strategies, and enterprise AI integration patterns.

Enterprise Integration & Platform Architecture
  • Design secure, scalable integrations between AI capabilities, CLM platforms, workflow tools, enterprise applications, and systems of record.
  • Define integration patterns that maintain proper separation between:
    • AI reasoning and intelligence layers
    • Workflow orchestration platforms
    • Business applications
    • Data services
    • Systems of record
  • Ensure legal systems retain authoritative ownership of records, approvals, contracts, and compliance workflows while AI capabilities augment decision making and productivity.
  • Collaborate with enterprise architecture, platform engineering, and security teams to establish scalable solution patterns.

Buy vs. Build & Vendor Evaluation
  • Lead buy versus build assessments for Legal AI capabilities and workflow solutions.
  • Evaluate vendors, platforms, and emerging technologies against business requirements, integration complexity, risk, security, scalability, and total cost of ownership considerations.
  • Provide technical due diligence, architecture recommendations, implementation estimates, and adoption strategies for legal technology investments.
  • Partner with vendors and implementation teams to ensure solutions align with enterprise architecture standards.

Governance, Security & Responsible AI
  • Establish architecture standards supporting Responsible AI, security, privacy, regulatory compliance, auditability, and enterprise governance requirements.
  • Design controls and guardrails that ensure AI solutions operate safely within regulated legal and compliance processes.
  • Partner with Security, Risk, Compliance, and Legal stakeholders to incorporate governance requirements into solution designs.
  • Ensure solutions meet enterprise standards for data protection, access control, monitoring, resiliency, and operational support.

Technical Leadership & Team Enablement
  • Provide architecture leadership, technical mentorship, and implementation guidance to engineers, data scientists, and solution teams.
  • Lead technical design reviews and establish engineering best practices for AI development and deployment.
  • Drive adoption of reusable components, reference implementations, and enterprise solution standards.
  • Influence cross functional teams through technical expertise, strategic thinking, and collaborative leadership.
  • Serve as the primary technical authority for Legal AI architecture and solution design.

Minimum Qualifications
  • Bachelor's degree in Computer Science, Engineering, Information Systems, Data Science, or a related technical field.
  • 8 years of software engineering experience with the ability to personally design, develop, test, and deploy production ready solutions.
  • 5 years of experience architecting and delivering enterprise software, workflow, integration, or AI enabled solutions in production environments.
  • 5 years' experience serving as a Solution Architect, Lead Engineer, Technical Architect, or comparable technical leadership role.
  • Experience building AI enabled applications leveraging large language models, agentic architectures, retrieval systems, orchestration frameworks, and enterprise AI services.
  • Demonstrated experience architecting enterprise workflows that span multiple business systems, applications, data sources, and organizational stakeholders.
  • 5 years' experience with Python, API design, integration patterns, cloud native development, and modern software architecture principles.
  • Experience leveraging AI assisted development tools (e.g., Claude Code, GitHub Copilot, Cursor, or similar) to accelerate software delivery and solution development.
  • Proven ability to make architecture tradeoff decisions balancing business value, technical complexity, security, scalability, maintainability, and total cost of ownership.
  • Strong communication and facilitation skills with the ability to engage technical teams, business stakeholders, legal professionals, and executive leadership.
  • No immigration sponsorship is available for this role at this time.

Preferred Qualifications
  • Experience implementing or architecting solutions for Contract Lifecycle Management (CLM), legal operations, compliance, procurement, regulatory affairs, or enterprise workflow automation.
  • Familiarity with platforms such as Agiloft, Eudia, ServiceNow, GEP, Harvey AI or similar legal technology ecosystems.
  • Experience designing AI solutions for:
    • Contract review and analysis
    • Clause and obligation extraction
    • Legal research support
    • Compliance validation
    • Legal intake and matter routing
    • Marketing compliance workflows
    • Procurement contracting
  • Knowledge of enterprise architecture frameworks, integration platforms, API management, and workflow orchestration platforms.
  • Experience implementing Responsible AI, AI governance, model evaluation, and enterprise AI monitoring practices.
  • Familiarity with security, privacy, auditability, and risk management requirements associated with regulated business processes.
  • Experience influencing platform, vendor, and architecture decisions at enterprise scale.

Annual or Hourly Compensation Range
The base salary range for this position is $153,900.00 - $230,800.00. This position is eligible for annual bonus pay based on performance, per plan terms. Many factors are taken into consideration when determining compensation, such as experience, education, training, geography, etc. We comply with all minimum wage and overtime laws.
Benefits
Ecolab strives to provide comprehensive and market-competitive benefits to meet the needs of our associates and their families. Click here to see our benefits.
If you are viewing this posting on a site other than our Ecolab Career website, view our benefits at jobs.ecolab.com/working-here.
Potential Customer Requirements Notice
To meet customer requirements and comply with local or state regulations, applicants for certain customer-facing roles may need to:
- Undergo additional background screens and/or drug/alcohol testing for customer credentialing.
Americans with Disabilities Act (ADA)
Ecolab will provide reasonable accommodation (such as a qualified sign language interpreter or other personal assistance) with our application process upon request as required to comply with applicable laws. If you have a disability and require accommodation assistance in this application process, please visit the Recruiting Support link in the footer of each page of our career website.

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About Ecolab

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Ecolab is a global sustainability leader offering water, hygiene and infection prevention solutions and services that protect people and the resources vital to life.

Industry

Manufacturing

Company size

10,000+ Employees

Headquarters location

Saint Paul, MN, US

Year founded

1923

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