Head of Data

What is the purpose of this role?

The Head of Data will lead and mature DOOR’s data capabilities, transforming how we collect, govern, and use data to power smart building solutions. This role ensures our data assets are reliable, accessible, and strategically leveraged to drive innovation, operational efficiency, and AI/ML-powered insights across the business.

What is the role?

This Director-level role is responsible for driving data excellence across the organization by fostering a culture of data-driven decision-making, building trusted data infrastructure, and partnering cross-functionally to support self-service and operational analytics. You will oversee a growing team of engineers and analysts and play a key role in enabling predictive AI/ML use cases by ensuring high-quality, well-modeled, and accessible data.

This is an ideal role for a data leader who combines technical acumen with business insight, and who thrives on cross-functional collaboration and creating scalable systems that empower teams to make better decisions.

Who is DOOR?

DOOR (formerly Latch) is unlocking the next era of Building Intelligence. We combine premium hardware, intuitive software, and automated operations into one seamless platform—helping multifamily properties run more efficiently, grow revenue, and deliver smarter, more connected living experiences. From smart access and in-unit automation to building-wide controls, DOOR empowers owners, operators, and property teams to reduce overhead, protect asset value, and stand out in a competitive market.

We believe smarter buildings make life simpler. At DOOR, you’ll help shape a future where buildings anticipate needs, operate effortlessly, and quietly improve life for everyone inside.

What will you do?

• Data & Analytics Strategy: Define and execute a comprehensive data roadmap aligned with business priorities, growth initiatives, and AI/ML objectives.
• Team Leadership: Build, lead, and mentor a high-performing team of data engineers and analysts. Foster a culture of trust, curiosity, collaboration, and accountability.
• Cross-Functional Partnership: Work closely with Product, Operations, Finance, Sales, and Executive teams to establish trusted metrics, enable self-service analytics, and improve data fluency across the organization.
• Data Governance: Champion data governance and quality initiatives. Lead cross-functional efforts to define data ownership, improve upstream data reliability, and implement best practices for documentation, validation, and compliance.
• ML-Ready Data: Collaborate with the AI/ML team to identify, prepare, and deliver high-quality datasets to support model development, training, and deployment. This includes supporting feature engineering, cohorting, and experimentation frameworks.
• Metrics & Measurement: Advocate for a metric-driven culture. Standardize and socialize key performance indicators across departments to align on business goals and performance tracking.
• Tooling & Architecture: Evaluate and scale our modern data stack (e.g. dbt, Sigma, Snowflake, Kafka, etc.) to meet the needs of a growing business and evolving data complexity.
• Data Enablement: Empower stakeholders through scalable reporting solutions, training, and support to drive widespread adoption of self-service analytics.
• Continuous Improvement: Identify and lead initiatives to improve data workflows, reduce technical debt, and increase efficiency and reliability in the analytics pipeline.

What do you bring to DOOR?

• Bachelor’s or Master’s degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Economics) or equivalent practical experience.
• 8+ years of experience in data, analytics, or data engineering, with 3+ years in leadership roles.
• Demonstrated success leading teams and delivering cross-functional data initiatives in