Head of Data

Data Strategy & Leadership
●    Define and execute HappyCo’s overall data strategy aligned with company and product goals
●    Establish the roadmap for analytics, machine learning, and data platform evolution
●    Collaborate with Product and Engineering leadership to identify high-value opportunities for data-driven insights and AI features
●    Build and mentor a small data team including data engineers and analysts

Data Unification & Canonical Data Model
●    Design and implement a canonical entity model that connects data across operational systems
●    Lead the development of HappyCo’s property graph / knowledge layer, linking entities such as businesses, properties, units, inspections, work orders, and maintenance performance
●    Develop entity resolution approaches using deterministic rules, fuzzy matching, geospatial matching, and machine learning where appropriate
●    Ensure that canonical entities are reliable and usable across analytics, reporting, and product systems

Data Platform & Architecture
●    Oversee the architecture and evolution of HappyCo’s data platform, including the data warehouse, pipelines, and transformation layers
●    Guide development of scalable data ingestion and transformation pipelines using tools such as BigQuery, Databricks, Dataflow, and Pub/Sub
●    Establish best practices for data quality, lineage, and governance
●    Ensure data infrastructure supports both analytical workloads and product-facing APIs

Analytics & Insights
●    Enable internal teams with reliable analytics and insights derived from unified data
●    Move the organization beyond dashboards toward insight generation and recommendations
●    Develop benchmark metrics and analytical models that help customers understand performance and opportunities for improvement
●    Support the creation of self-service analytics capabilities across the company

Machine Learning & AI Enablement
●    Prototype and implement predictive models that leverage unified data sets
●    Prepare datasets and feature pipelines for machine learning workflows
●    Enable AI product capabilities including agentic workflows and data-driven recommendations
●    Ensure the company’s data architecture supports retrieval systems and LLM-powered applications

Hands-On Technical Execution
●    Contribute directly to data modeling, analytics, and ML development
●    Work closely with the Data Engineer to implement pipelines and transformations
●    Prototype analytical models and AI-enabled features in collaboration with Product