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Celonis
5+ YOECandidates need 5+ years in value engineering, consulting or pre-sales, with enterprise software experience in SAP, Workday, Salesforce or Oracle. They need strong finance or supply chain knowledge, an engineering, computer science, math, analytics or comparable technical degree, flawless English, and eligibility for TN status under CUSMA.
Celonis Platform, SAP, Workday, Salesforce, Oracle, AI copilots
Celonis
3+ YOECandidates need 3-5 years in value engineering, consulting or pre-sales with external clients, and enterprise software knowledge such as SAP, Workday, Salesforce or Oracle. A finance or supply chain background, executive communication skills, an engineering, computer science, math or business analytics degree, and TN eligibility under CUSMA are required.
SAP, Workday, Salesforce, Oracle, Celonis Platform, AI copilots
Alight
5+ YOEAlight needs an Ontario Paralegal or Lawyer licence, at least 5 years of workers' compensation claims management, and expert knowledge of provincial WCB legislation. Candidates also need strong analytical, written and verbal communication skills and proficiency in Microsoft Word, Excel and Outlook.
Microsoft Word, Microsoft Excel, Microsoft Outlook
Mastercard
Candidates need a bachelor's degree and experience in product management, data analytics or strategy, ideally in fraud, identity, payments or fintech. Strong analytical, communication and cross-functional collaboration skills are required, along with Microsoft Excel, PowerPoint and Word proficiency.
Microsoft Excel, Microsoft PowerPoint, Microsoft Word
Mastercard
Candidates need a bachelor's degree, product development and management experience, strong analytical and communication skills, and comfort with fast-changing environments. Knowledge of identity, fraud, digital commerce or agentic commerce is an asset.
Mastercard
Mastercard needs experience across the new product development process, strong stakeholder influence, analytical problem-solving and senior-level communication. Knowledge of identity, digital payments or security is an advantage, and a bachelor's degree or equivalent experience is expected.
Hazard assessment, Onboarding, Regulatory compliance, Product comprehension, Process improvement, Collaboration
Mastercard
Mastercard needs candidates with experience designing or refining business processes, strong knowledge of Responsible AI and AI technologies, and skills in change management and stakeholder training. Strong communication, negotiation and organizational skills are required, and experience with Generative or Agentic AI, UX design or quantitative analysis is a bonus.
Risk management, Change management, Community engagement, Research, Business processes, UX design
Mastercard
Mastercard needs a candidate with proven product management experience in customer experience, merchant analytics, the advertising ecosystem, third-party data and AI, plus a record of leading large, diverse teams globally. Candidates also need exposure to marketing campaigns and CMOs, strong communication and influence skills, and an entrepreneurial, ownership-driven approach.
Customer experience, Communication skills, Cybersecurity, Confidentiality
Mastercard
Candidates need strong data engineering experience, proficiency in graph databases, Databricks, Spark and AWS, and proven ability to lead and develop a data engineering team. A technical degree or equivalent hands-on skills and clear communication with technical and business audiences are also required.
Databricks, Spark, AWS, Hive, Impala, Oozie
Mastercard
Mastercard needs demonstrated product management experience, ideally in payments, fraud, risk, identity or authentication. Candidates should understand digital fraud threats, analyze problems with data, and explain complex concepts clearly to technical and non-technical audiences.
Sales, Prioritization, Analytical skills, Communication skills, Cybersecurity, Confidentiality
Mastercard
3+ YOEMastercard needs candidates with 3-5 years of investigative, compliance, risk, audit or brand protection experience. Candidates should have merchant monitoring knowledge, strong written and verbal communication, attention to detail and Microsoft Office skills.
Microsoft Office, Excel, case management tools
Mastercard
Mastercard needs candidates with product management experience in card acceptance across merchants, acquirers and payment service providers. Candidates also need a strong grasp of payment architecture, proven launches of new acceptance solutions, and clear executive communication.
Reporting, Customer experience, Presentation skills, Leadership, Prioritization, Decision making
Mastercard
Candidates need a computer science, data science or engineering background, or equivalent experience, with customer-facing or cross-functional project experience. Strong Python and SQL, supervised machine learning, and clear presentation skills are required.
Python, SQL
Mastercard
Candidates need proven experience engaging internal and external stakeholders to drive solution development, intermediate experience in financial services or payments, and a strong understanding of competition, industry trends and go-to-market strategy. Strong communication, influencing and relationship-management skills are required, and SME banking or payment experience is an asset.
Client relationship management, Financial analysis, Communication skills, Work independently, Cybersecurity, Confidentiality
Mastercard
Candidates need an undergraduate degree and work experience in marketing or campaign projects, plus experience managing clients, vendors and collaborative teams. Advanced Word, Excel and PowerPoint skills and English communication are required, along with the ability to travel to client sites.
Excel, PowerPoint, Word, Tableau, Power BI
Mastercard
Candidates need an advanced degree (Master's or PhD preferred), extensive experience leading data science teams, and a record of deploying machine learning models in production. Strong Python and SQL skills and familiarity with Agile delivery are also required.
Databricks, Spark, Python, SQL
Infosys
2+ YOECandidates need a bachelor's degree or equivalent, at least 2 years of IT experience and 2 years of hands-on Java development. Strong Java, Spring Boot, microservices, REST, Angular, API design, CI/CD and domain-driven design skills are expected.
Kafka, OpenShift
11 companies