HappyCo is looking for a Head of Data to lead the company's data strategy, covering analytics, machine learning, and data platform development. This role involves designing and implementing a canonical data model, overseeing data architecture, enabling internal analytics, and driving AI product capabilities, with a strong emphasis on hands-on technical contribution and team mentorship.
About the role
About the Role
HappyCo is seeking a Head of Data to define and execute its overall data strategy, aligned with company and product goals. This role involves establishing the roadmap for analytics, machine learning, and data platform evolution, and collaborating with Product and Engineering leadership to identify high-value opportunities for data-driven insights and AI features. You will also be responsible for building and mentoring a small data team.
Responsibilities
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