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Decision Engineer Jobs in Nevada (NOW HIRING)

Translate future-state designs into developer-ready specifications - including process flows, decision logic, integration points, exception handling, evidence trails, and UI concepts where relevant.

New

Translate future-state designs into developer-ready specifications - including process flows, decision logic, integration points, exception handling, evidence trails, and UI concepts where relevant.

New

Lead Data Engineer

Las Vegas, NV · On-site

$98K - $129K/yr

Drive technical decision-making and establish best practices * Ensure code quality through reviews ... in data engineering or related fields Skills * Apache Airflow (DAG development, workflow ...

Sr Project Engineer

Las Vegas, NV · On-site +1

$94K - $123K/yr

We have now made the strategic decision to build a permanent team and grow this practice locally ... You will work directly with senior structural engineers in California and Reno who will actively ...

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

Operations Engineer

Las Vegas, NV · On-site

$70 - $95/hr

Proficiency with data acquisition, analysis tools, and data‑driven decision making. * Excellent ... remote engineering teams. * Strong project management and prioritization capabilities.

Manufacturing Engineer II

Reno, NV · On-site

$65K - $120K/yr

Provides manufacturing decision-making information by calculating production, labor, and material ... Bachelor's degree in Manufacturing Engineering or a closely related Engineering Discipline ...

Sales Engineer, Enterprise

Las Vegas, NV · On-site

$240K - $280K/yr

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

Sales Engineer, Enterprise

Las Vegas, NV · On-site +1

$240K - $280K/yr

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

Sales Engineer, Enterprise

Las Vegas, NV · On-site +1

$240K - $280K/yr

We are seeking a Sales Engineer to partner with a Named Account Manager in a defined territory ... Deliver impactful presentations and demos to both technical stakeholders and executive decision ...

Lead Professional, Traffic Engineer

Las Vegas, NV · On-site

$83K - $113K/yr

Exercise responsible and ethical decision-making regarding company funds, resources and conduct ... Engineer license required. * Highly proficient with traffic engineering principles, practices ...

Exercise responsible and ethical decision-making regarding company funds, resources and conduct ... Engineer license required. * Highly proficient with traffic engineering principles, practices ...

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Showing results 1-20

Decision Engineer information

What is a decision engineer?

Decision Engineers are professionals who apply analytical, mathematical, and computational techniques to help organizations make data-driven decisions. They often use tools from operations research, data science, and systems engineering to evaluate complex options, optimize processes, and predict outcomes. Their work enables businesses to solve challenging problems, improve efficiency, and minimize risks in decision-making processes.

How does a decision engineer typically collaborate with data scientists and business stakeholders to deliver impactful solutions?

Decision Engineers frequently act as a bridge between technical teams and business stakeholders. In a typical workflow, they collaborate with data scientists to understand the underlying data models and analytical outputs, then work closely with business leaders to translate these insights into actionable strategies. This often involves facilitating discussions to clarify business objectives, ensuring analytical approaches align with end goals, and iteratively refining solutions based on feedback. Strong communication and project management skills are essential, as Decision Engineers must synthesize complex information and drive consensus among diverse teams.

What are the key skills and qualifications needed to thrive as a decision engineer, and why are they important?

To thrive as a Decision Engineer, you need strong analytical skills, expertise in data modeling, and a background in fields like operations research, mathematics, or computer science. Familiarity with decision analysis tools, optimization software (such as CPLEX or Gurobi), and programming languages like Python or R is typically required. Exceptional problem-solving abilities, communication skills, and the capacity to synthesize complex information are valuable soft skills in this role. These competencies enable Decision Engineers to develop effective solutions for complex business challenges and drive data-informed decision-making.

What is the difference between Decision Engineer vs Data Scientist?

AspectDecision EngineerData Scientist
Required credentialsBachelor's or master's in engineering, analytics, or related fieldsBachelor's or master's in statistics, computer science, or related fields
Work environmentFocus on designing decision models, algorithms, and optimization processesFocus on analyzing data, building predictive models, and extracting insights
Employer and industry usageUsed in industries like manufacturing, finance, and logistics for decision automationCommon in tech, finance, healthcare for data analysis and modeling

Decision Engineers primarily develop decision models and optimize processes to improve business outcomes, while Data Scientists analyze data to generate insights and predictive models. Both roles require strong analytical skills, but Decision Engineers focus more on decision automation and operational efficiency, whereas Data Scientists focus on data analysis and modeling.

What cities in Nevada are hiring for Decision Engineer jobs?

Cities in Nevada with the most Decision Engineer job openings:

Process Engineer

Las Vegas, NV • On-site


Wynn Resorts
Traveler Accommodation • 10K+ employees

7.7

Company rating: 7.7 out of 10

Based on 52 frontline employees who took The Breakroom Quiz

35th of 164 rated casinos

People enjoy working here

Good employer

Paid breaks


Full-time

Posted 2 days ago

New


Job description

Job Description

Process Engineers bring deep expertise that gets called on when an engagement needs tooling, M365, low-code platforms, and rollout craft. They sit between the engagement layer (the VP defining the future state with the business) and the build layer, ensuring that what gets built is right, that the Process Engineering Team consistently chooses the best tool for the job, and that engagements requiring code-based development are cleanly scoped and handed off to Global AI Engineering.

What You Own - Core Engagement Work

  • Partner with G&A business teams and IT to analyze, document, and design current-state and future-state processes.
  • Identify process improvement opportunities and quantify business value - hours saved, error reduction, cost avoidance.
  • Translate future-state designs into developer-ready specifications - including process flows, decision logic, integration points, exception handling, evidence trails, and UI concepts where relevant.
  • Design, build, test, and deploy solutions using Power Automate, Copilot Studio, SharePoint, Agent Builder, and other low-code and no-code platforms - selecting the right tool for each part of the work, recognizing that automation is one option but not always the right one.
  • For engagements that require code-based development, partner with Global AI Engineering on the build while retaining ownership of the engagement, the design, the UAT, and the rollout.
  • Integrate solutions with enterprise systems, APIs, and data sources within the Process Engineering Team's in-house build scope.
  • Make informed tooling and architecture recommendations, advocating for simpler, lower-maintenance solutions when appropriate - with final engineering calls on code-based work belonging to Global AI Engineering.
  • Monitor, maintain, and continuously improve deployed solutions.
  • Own UAT, parallel runs, and cutover for assigned engagements - confirming the shipped solution fits the process and coordinating the people side of go-live.
  • Own institutional memory across engagements you have worked on, carrying patterns and lessons forward.

What You Own - Named Team-Wide Responsibility

Tooling & Pattern Stewardship

  • Maintain the Process Engineering Team's library of architectural patterns and keep a current view of what tools are in use and where.
  • Serve as the named voice on tool selection when the Process Engineering Team is debating how to build something - your recommendation carries weight, with contested calls decided by the Director (with VP input).
  • Lead tool evaluation when new platforms or approaches are being considered within the Process Engineering Team's in-house build scope.
  • Ensure tooling decisions are documented and accessible to the full team and to Global AI Engineering partners.

Where Your Expertise Gets Called In

  • Engagements that are tooling-heavy - M365, Power Platform, low-code platforms, or when the question is "what is the right tool for this step."
  • UAT and rollout design.
  • Any engagement where build simplicity and maintainability need an advocate in the room.
  • Decisions on whether work belongs in the Process Engineering Team's in-house low-code scope or whether it should be partnered to Global AI Engineering.

What This Role Does Not Include

  • Leading engagements or defining future-state at the function level (owned by the VP).
  • Code-based development - production application code, custom services, AI agent architecture, platform evaluation. These are owned by Global AI Engineering.
  • Final engineering architecture calls on partnered builds (owned by Global AI Engineering, with your input on tooling).
  • Compliance gate review.

How You Contribute to the Mission

You are the bridge between vision and reality - ensuring the intelligent foundation we build tomorrow is constructed on specifications that are accurate, practical, and grounded in how Wynn's G&A functions actually operate. And by stewarding our tooling patterns, you make sure every engagement benefits from what the Process Engineering Team has already learned.

Qualifications

Education

  • Bachelor's degree in Business Administration, Information Systems, Computer Science, Engineering, Operations Management, or a related field required.
  • Equivalent combination of education, professional training, and relevant experience may be considered.

Experience

  • 5+ years of experience in business process improvement, process engineering, business analysis, digital transformation, automation, or related disciplines.
  • Demonstrated experience documenting, analyzing, and redesigning complex business processes across multiple functional areas.
  • Proven experience translating business requirements into detailed functional specifications, process maps, workflows, decision trees, and implementation plans.
  • Experience leading User Acceptance Testing (UAT), deployment planning, change management, and solution rollouts.
  • Experience partnering with technical teams, software developers, system architects, or engineering organizations on solution implementations.
  • Experience supporting initiatives involving Finance, Human Resources, Procurement, Legal, Risk, Compliance, or other Corporate Services functions preferred.

Technical Qualifications

  • Advanced knowledge of Microsoft 365 technologies, including SharePoint, Microsoft Teams, Forms, Lists, and related collaboration tools.
  • Hands-on experience designing and deploying solutions with Power Platform technologies, including:
    • Power Automate
    • Copilot Studio
    • Power Apps
    • Agent Builder and emerging Microsoft AI capabilities
  • Experience integrating enterprise applications through APIs, connectors, and data integrations.
  • Strong understanding of low-code and no-code architecture principles and governance considerations.
  • Ability to evaluate and recommend the appropriate technology solution based on business requirements, scalability, maintainability, and total cost of ownership.
  • Familiarity with business process modeling methodologies and tools such as Visio, Lucidchart, BPMN, or equivalent platforms.
  • Working knowledge of software development lifecycle concepts and the ability to effectively partner with engineering teams on code-based solutions.

Knowledge, Skills & Abilities

  • Strong analytical and problem-solving skills with the ability to evaluate complex operational challenges and identify practical solutions.
  • Ability to quantify business value through efficiency gains, cost avoidance, risk reduction, quality improvements, and productivity enhancements.
  • Exceptional process documentation and technical writing skills.
  • Strong facilitation skills with the ability to lead discovery sessions, workshops, and stakeholder interviews.
  • Ability to independently manage multiple engagements and competing priorities in a fast-paced environment.
  • Demonstrated ability to influence decisions and build consensus among business and technical stakeholders.
  • Strong understanding of process controls, exception handling, audit requirements, and operational governance.
  • Ability to balance innovation with simplicity, maintainability, and long-term supportability.
  • Excellent verbal, written, and presentation communication skills.
  • Strong organizational skills and attention to detail.

Preferred Qualifications

  • Microsoft Power Platform certifications (PL-900, PL-100, PL-200, PL-400, or equivalent).
  • Lean, Six Sigma, Process Improvement, Business Analysis, or Project Management certifications.
  • Experience supporting enterprise-scale digital transformation initiatives.
  • Experience with AI-enabled workflow solutions, conversational agents, and business process orchestration.
  • Experience developing operational playbooks, architectural patterns, governance standards, or technology adoption frameworks.
  • Hospitality, gaming, luxury resort, or large-service-enterprise experience preferred.

Success Profile

The successful candidate is a strategic process thinker who can bridge business vision and technical execution, translate complex operational requirements into scalable solutions, champion the right tool for each use case, and ensure solutions are successfully adopted and sustained across the organization.

Additional Information

Wynn Resorts is an equal opportunity employer committed to hiring a diverse workforce and sustaining an inclusive culture. Wynn Resorts does not discriminate on the basis of disability, veteran status or any other basis protected under federal, state or local laws confidential according to EEO guidelines.



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