Director of Data

What is the purpose of this role?

Turn DOOR’s data into a strategic asset that powers our Building Intelligence platform and daily decision-making. This role ensures data is reliable, well-governed, and accessible, so teams can ship better products, automate operations, and unlock AI/ML insights that improve resident experience and property performance.

What is the role?

A Director who sets the vision and operating model for data at DOOR. You will lead a growing team of engineers and analysts, establish a trusted metrics layer, and build the modern data platform and practices that enable self-service analytics and ML-ready datasets. Working across Product, Operations, Finance, and Sales, you’ll prioritize the highest-impact use cases, define quality and freshness standards, and create scalable systems that help the business move faster with confidence.

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 high-growth or technology-driven environments.
• Strong SQL and data modeling skills, including experience with modern data transformation tools such as dbt or SQLMesh.