Teams at Helcim

Develop and own production-grade data products and machine learning models across fraud, credit risk, payments, marketing, and internal operations. Responsibilities include end-to-end model development, deployment, monitoring, data visualization, MLOps collaboration, stakeholder partnership, and model performance optimization. The role also mentors colleagues, establishes data science standards, and helps scale the organization’s technical capabilities.

Own business technology across access administration, provisioning, endpoint management, networking, automation, monitoring, and internal systems. Build integrations and AI-enabled workflows using scripting, APIs, webhooks, and MCP servers. Deploy cybersecurity-selected tools, administer identity and collaboration platforms, provide shared support and onboarding coverage, and create documentation and training that expand team capability.

Leads Helcim’s Data Platform team, owning data engineering standards, platform architecture, roadmap, production pipelines, warehouse infrastructure, governance, observability, and incident response. The role oversees scalable ELT and real-time systems, self-service analytics, data products, MLOps, AI gateway infrastructure, and agentic workflows. It requires balancing business delivery, operational excellence, privacy, security, and PCI-DSS compliance while coaching engineers and partnering with leadership, risk, auditors, and compliance teams.