Top Tech Jobs & Startup Jobs in Vancouver

Supports strategy and transformation consulting engagements for global clients across industries. Responsibilities include analyzing business problems, developing strategies and programs, preparing presentations, identifying insights, leading meetings, managing workstreams, collaborating with clients and internal teams, and delivering recommendations using data and technology. The role also contributes to project management, intellectual capital, and client relationships.

Leads the technical direction, architecture, delivery, and modernization of Mastercard’s Java and C++ Sanctions Service platform. Manages a seven-person software engineering team, balancing technical leadership with coaching, hiring, performance management, and roadmap execution. Drives scalable, secure, highly available systems, incident response, operational improvement, cloud readiness, and adoption of AI-assisted and agentic engineering practices within appropriate governance and compliance controls.

Leads data engineering for AI and machine learning fraud-detection products. Responsibilities include integrating disparate data sources, building scalable and automated pipelines, supporting modeling workflows, deploying production artifacts, creating documented data products, improving reusable processes, collaborating cross-functionally, leading projects, and mentoring junior engineers. Required technologies include Python, PySpark, Airflow, Hadoop, SQL, Databricks, Linux/Bash, CI/CD, and JIRA.

Leads the technical direction, architecture, delivery, and modernization of Mastercard’s Java and C++ sanctions screening platform. Manages a seven-person software engineering team while driving scalable, secure, highly available solutions, incident response, AI-assisted engineering adoption, and operational improvements. Partners with product, architecture, compliance, and operations stakeholders; mentors engineers; manages roadmaps and delivery commitments; and establishes responsible AI governance and engineering best practices.

Design, develop, and support scalable, secure software systems for Mastercard’s sanctions-screening platform. Lead technical design, coding, testing, deployment, production support, troubleshooting, and code reviews. Mentor engineers and collaborate with product, compliance, security, and operations teams. Apply AI-assisted development, agentic workflows, and intelligent automation to improve engineering productivity, reliability, and operational efficiency while maintaining strong governance, security, transparency, and human oversight.

Supports technical program managers in planning, coordinating, and delivering technology, product, and customer success initiatives. Tracks milestones, dependencies, risks, resources, and blockers across engineering, product, data science, and customer success teams. The role facilitates meetings, communicates program status, maintains delivery reporting, supports decision-making, and improves processes through automation and AI-enabled tools. It is an 18-month early-career program requiring strong analytical, organizational, communication, collaboration, project management, Agile, and technology skills.

Lead product vision, roadmaps, requirements, backlog prioritization, agile delivery, and operational health for Mastercard’s global, event-driven payment platforms. Partner with engineering and cross-functional teams to define and launch resilient, scalable, high-throughput payment capabilities. Measure outcomes, manage dependencies, improve processes, incorporate customer feedback, and drive continuous product improvements across distributed international teams.

Designs and implements scalable Java applications for Mastercard’s real-time Decision Management platform. Responsibilities include unit, integration, and functional testing; incident leadership and post-mortems; Scrum participation; stakeholder collaboration; troubleshooting; and mentoring team members. The role focuses on secure, maintainable, high-performance applications supporting fraud prevention and intelligent transaction decisions.

Analyzes Account Status Inquiry usage, transaction trends, customer behavior, and regional adoption to identify growth opportunities and product improvements. Builds KPI reporting, translates data into product requirements and business cases, supports customer and sales inquiries, and collaborates on launches, reporting, documentation, operational readiness, and customer enablement.

Owns product management and execution for Mastercard’s Attribute Verification suite, including Address Verification Service, CVC2, and Age Verification. Defines requirements, prioritizes backlogs, develops KPI dashboards, analyzes customer and market data, identifies regional growth opportunities, and coordinates with technical, regional, and customer-facing stakeholders. The role supports product modernization, customer value propositions, fraud prevention, regulatory needs, and revenue growth across global markets.