Minimum of 3-5 years' prior work experience
Experience: Manufacturing, engineering, commodity trading, sourcing, analytics, forecasting, merchandising, product design, category management
Prior experience with sourcing software (Coupa, Jaggaer, etc) a plus
Education: Bachelor's degree or graduate degree preferred
Applicable fields of study include but are not limited to: Business, economics, engineering, analytics, mathematics, data science, supply chain, purchasing, merchandising, manufacturing, product design
Able to interpret complex, large volume and sometimes contradictory data to develop fact-backed insights and strategies
Demonstrated analytic abilities with an emphasis on critical thinking, root cause analysis, and problem solving required
Ability to collaborate effectively in a cross functional team setting to share insights, co-create outputs and iterate with speed
Demonstrated self-starter and ability to semi-independently run analysis to drive to answers
Clear, proactive and collaborative communicator
Can tactfully address issues with internal and external business partners
Demonstrates poise, composure, presence, communication skills and an understanding of key data drivers to establish rapport and respect with negotiation partners
Experience developing creative solutions that provide win-win outcomes in difficult or ambiguous situations
Skilled in coordinating timelines and project managing across multiple simultaneous projects
Proficient in the use of Microsoft Office Suite
Intermediate to advanced Excel skills with a passion for discovering answers and insights
Preferably has previous experience using reporting tools such as Alteryx and Power BI
Experience with sourcing software (Coupa, Jaggaer, etc) a plus

SmartExplore AI is experimental.

New, Posted 1 day ago

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Loss Prevention Officer

Marriott

Chicago, IL 60601

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Maintenance Engineering Specialist - Refinery Experience Only

Aramco

Chicago, IL 60290

Onsite

You will hold a Bachelor degree in Engineering from a recognized and approved program.
You will have a minimum of 10 years of relevant experience in the Oil & Gas downstream Sector.
You will be able to demonstrate high degree of technical competence in the area of maintenance programs and practices.
You will have experience with risk-based processes such as Reliability-Centered Maintenance & Risk Based Maintenance
You will have experience with TotalProductive Maintenance
You must have strong hands-on experience with Spare Parts and Materials procurement strategies
You will have Best-in-class Maintenance Planning, Scheduling and Work Prioritization experience
You must have strong Experience with Maintenance budgeting and spending control methodologies.
You will have Experience in field maintenance methodologies, processes, and procedures.
You will be able to demonstrate experience with CMMS such as SAP

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Principal Software Engineer

Mastercard

Chicago, IL 60290

RemoteEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Extensive experience in designing and delivering large-scale, distributed systems and platforms.
Proven ability to influence technical strategy and drive architectural decisions across multiple teams.
Strong expertise in modern software engineering practices, cloud-native architectures, and AI/data platforms.
Exceptional communication and leadership skills with a track record of mentoring and thought leadership.
Bachelor's degree in Computer Science, Software Engineering, or a related technical discipline.
Data Architecture & Strategy
Focus on designing modern, scalable, governed data ecosystems.
Data strategy and product-aligned data architectures
Modern database technologies and migration away from legacy Oracle
Data lakehouse architectures supporting analytics and ML workloads
Feature catalog / feature engineering platforms
High-Throughput, Low-Latency, and Real-Time Systems
Critical for Mastercard's real-time decisioning and event-driven platforms.
Event streaming and high-throughput data pipelines
Low-latency data technologies (distributed caches, grid replacement)
Real-time transaction processing and sub-second decisioning
Rules engine design and modernization
Cloud Infrastructure, Platform Engineering & DevOps
Driving cloud-native engineering practices and operational excellence.
AWS infrastructure engineering and cloud-native platform patterns
DevOps and platform engineering (automation, CI/CD, observability, GitOps)
ML lifecycle engineering (model training, deployment, refresh, inference)
Deep, progressive experience in software engineering.
Proven technical leadership roles influencing architecture and design across multiple teams.
Proven track record of delivering large-scale, distributed systems and enterprise-grade platforms.