Director of Data
Listed on 2026-01-07
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IT/Tech
Data Engineer, Data Analyst
XOi exists to turn asset data into uptime. For years, field service relied on experience and instinct to keep the world running. Today, teams are leaner, equipment is more complex, and expectations are higher. Instinct alone is not enough. We are the data intelligence solution for the people who design, maintain, and depend on critical equipment. We deliver clarity across every stage of the asset lifecycle, giving the right person the right information at the right time so organizations can move from reactive work to proactive planning and predictive maintenance.
When assets perform at their best, everything around them performs better too.
We are looking for a Director of Data and as our Director of Data, you will operate as a Player/Coach, leading the strategy, standards, and Service Level Objectives (SLOs) for our core data infrastructure. This includes ownership of our Postgre
SQL operational databases and Snowflake warehouse across critical areas like schema/migrations, performance, availability, security, and cost optimization.
A key part of your role will be overseeing the organization's Database Administrator (DBA) function and collaborating closely with Engineering to optimize query execution and enhance the developer experience.
You will drive the end-to-end data roadmap, covering everything from:
- Developing in-product analytics (dashboards, benchmarks, reporting).
- Managing the pipelines, models, and governance that fuel GTM (Go-to-Market), Finance, and executive decision-making.
When necessary, you will be hands‑on to scale our modern data stack within our event‑driven AWS environment and focus on embedding data‑driven insights into technician, dispatcher, and manager workflows to directly improve field outcomes.
What the Director of Data will OwnCustomer‑Facing Data & Product Analytics
- Set the vision and roadmap for embedded analytics—dashboards, benchmarks, and in‑product reporting.
- Collaborate with Product and Engineering to integrate insights directly into technician and back office workflows.
- Deliver analytics that measurably improve field operations (e.g., higher first‑time fix, faster cycle times, better asset uptime) and demonstrate impact with clear product and customer outcomes.
- Build and scale pipelines and models that power GTM, Finance, and executive decision‑making.
- Translate business questions into clear, reliable datasets and metrics.
- Prioritize insights that drive growth, efficiency, and customer value.
- Own the data roadmap end‑to‑end: internal analytics and external/embedded reporting.
- Design and scale modern data infrastructure (warehouse, pipelines, modeling, governance).
- Champion data quality, security, lineage, and reliability with measurable SLAs.
- Balance long‑term architecture with quick, iterative wins to build trust.
- Lead a high‑performing team of data engineers and a database administrator; set goals, coach, and develop talent.
- Establish async‑friendly communication rituals (clear written updates, docs, and readouts).
- Partner across Product, Sales, Marketing, CS, and Finance to embed data into everyday decisions.
- Partner with Engineering to ensure that the applications are set up well from a data model and query perspective, that the database performs well and that the developer experience is easy.
- Guide programs in experimentation, segmentation, forecasting, predictive modeling, and responsible AI.
- Operates alongside Postgre
SQL operational databases and a Snowflake analytics warehouse. - Integrates with an event‑driven architecture (e.g., AWS Lambda, Kinesis, SNS/SQS) supporting high‑throughput data flows.
- Collaborates with a DBA function to enforce schema and SQL standards, review data‑impacting PRs, and maintain migration discipline.
- Serves a multi‑tenant B2B SaaS environment with strong needs for performance, cost control, and data governance across environments (dev/stage/prod).
- 5+ years leading data teams in B2B SaaS (ideally product‑led) with demonstrated impact.
- Proven experience shipping customer‑facing analytics within a SaaS product.
- Strong prioritization and product sense…
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