At Roadpost,we'vespent years building trust with people who need to stay connected beyond cell coverage, in the world's most remote places. That work led to ZOLEO, our global messaging platform powered by the Iridium satellite network, used by adventurers, remote workers, and enterprise teams operatingoff-grid. ZOLEO is evolving from a hardware-led satellite communicator into a safety and preparedness platform, one that combines intelligent monitoring, automation, and real-time visibility to give people and their Safety Circles confidence when it matters most.We'rejust getting started, and we want people who want to build it with us.

AsData Lead, you will build and own ZOLEO’s data foundation, including the data lake, pipelines, analytics layer, and governance practices that make organizational data trustworthy. You’llwork closely with teams across ZOLEO to make sure data is never the bottleneck — turning it into a documented, analytics‑ready asset that powers product metrics, financial reporting, operational decisions, and the AI initiatives shaping what we build next.

This is a role with real leverage: the platform you build and the standards you set will shape how confidently every team at ZOLEO can act on data — from the engineers shipping safety features to the leaders deciding where we invest next. Set the architecture and technical direction for data ingestion, storage, transformation, and analytics, designing the platform as a product that serves teams across ZOLEO.Establish the engineering standards that keep it scalable, and flag systemic risks before they become problems. Define andmaintainstandards for data classification, retention, lineage, quality, and freshness.

Partner with federated data stewards across the organization to ensure these standards are consistently applied, measured through service-levelobjectives, andcontinuouslyimproved through structured incident management and review. Build the Standard for Responsible AI.Make documented,



analytics‑ready data the default input for product metrics, financial reporting, and ZOLEO’s AI initiatives, and establish function‑wide standards for how the data team itself uses AI and automation — grounded in explicit evidence of what it can and cannot reliably do. Provide technical direction,maintaindeliveryaccountability, coach data and analytics engineers, and contribute to performance input whileremainingapproximately 80% hands‑on.

Optimizestorage, compute, and query costs whilemaintainingsecure, compliant access to organization data. Enforce data classification, least‑privilege access, auditability, and regulatory requirements across the platform in partnership with the security function.

The Right

Foundation.Bachelor’s degree in Computer Science, Engineering, or a related field, plus 8+ years of experience in data engineering, data platform, or analytics engineering roles, including at least 3 years in a technical leadership capacity. Expert‑level experience leading dataplatforms, data engineering, or analytics engineering work, withdemonstratedownership of architecture, ingestion, storage, transformation, analytics, and governance.

Experience implementing data governance frameworks and measurable quality practices that improve trust, consistency, and accessibility.

Experience leading technical teams hands‑on — setting architectural direction, coaching engineers, and driving delivery — and shaping outcomes across the organization without relying on formal authority, building alignment around collective results rather than personal credit.

Experience implementing secure access controls, auditability, and data protection practices for sensitive information. AI Fluency, Grounded in Judgment.Experience applying AI and automation to improve data engineering and analytics workflows, with sound judgment regardingappropriateand responsible use.

Flexible

Work.Health, dental, and flexible spending accounts tailored to your needs. Vacation and sick days to help you rest, recharge, and stay well.

📌 Bilingual Spanish/English Team Manager (Toronto)
🏢 Roadpost
📍 Toronto