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Provide administrative support to executives and team members: manage calendars and meetings, coordinate travel, prepare and edit correspondence, reports and presentations, maintain organized records, handle confidential information, and assist with special projects and events as needed.

Monitor and enforce data protection compliance: conduct DPIAs and audits, investigate breaches, recommend corrective actions, develop policies and training, and prepare compliance reports to ensure regulatory adherence.

Analyze facilities and office operations to improve efficiency; monitor and report on performance metrics and budgets; research best practices; collaborate with facilities managers to implement improvements; support facilities planning, execution, and compliance.

Handle incoming customer interactions per guidelines, generate client feedback, manage backlog of actions and emails, use customer care tools, and deliver customer-centric solutions while supporting problem-solving and product knowledge.

Lead design, implementation and governance of SIAM/ITSM processes and ServiceNow platform. Coordinate suppliers, enable automation/robotics, build E2E monitoring and dashboards, monitor KPIs, drive continuous improvement and change management to ensure service quality and platform growth.

Design and build resilient, high-throughput backend payment services. Evolve distributed, event-driven architectures ensuring idempotency, data consistency, and fault tolerance. Own testing (unit/integration/acceptance), performance simulations, observability in production, mentor engineers, and leverage AI tools to accelerate delivery. Collaborate with Product, QA, DevOps, and frontend teams.

The Data Visualization Lead is responsible for establishing Power BI best practices, managing global dashboards and community, ensuring compliance, and defining reporting strategies.

Responsible for planning, executing, and optimizing paid media campaigns across multiple platforms to drive measurable business outcomes and optimize performance.

The Data Project Manager will oversee data projects, align them with business needs, and communicate across teams while managing project methodologies and documentation.

The Data Analyst will work with Business Teams to gather needs, analyze business performance, create reports and dashboards using Power BI, and conduct statistical analyses with R or Python.