HappyCo is seeking a Head of Data to lead the development of their data strategy and infrastructure, unifying fragmented operational data into a canonical entity model and property graph that powers analytics, benchmarking insights, and AI-enabled product features. The role is both strategic and hands-on, requiring the ability to operate effectively as both a strategic leader and hands-on contributor.
Requirements
- 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
- 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
- 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
- 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
- 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
- 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
Benefits
- Unlimited vacation time
- Generous paid parental leave
- Competitive and equitable pay, including stock options
- Monthly stipends to support Wellness and Home Office expenses
