Head of Data
HappyCo
full-time
Posted on:
Location Type: Remote
Location: United States
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Job Level
About the role
- 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
- 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
- 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
Requirements
- 8+ years of experience working in data science, data engineering, or analytics roles
- Experience designing data architectures and data models for complex operational systems
- Strong experience working with data warehouses and distributed data processing systems
- Hands-on experience building analytical models or machine learning systems
- Demonstrated ability to translate business questions into data-driven solutions
- Experience working cross-functionally with product and engineering teams
- Strong proficiency in SQL and Python
- Experience with modern data platforms (e.g., BigQuery, Snowflake, Databricks)
- Experience building data pipelines and transformation workflows
- Familiarity with machine learning workflows and model deployment
- Experience with entity resolution, data modeling, or knowledge graph concepts is highly desirable
- Ability to operate effectively as both a strategic leader and hands-on contributor
- Strong communication skills with both technical and non-technical stakeholders
- Experience mentoring and developing data professionals
- Comfort working in a fast-moving startup environment
Benefits
- Work from anywhere supported by a flexible company culture
- Opportunity to work for one of the fastest growing technology companies in the PropTech industry
- Unlimited vacation time
- Generous paid parental leave
- Competitive and equitable pay, including stock options
- Monthly stipends to support Wellness and Home Office expenses
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data strategydata architecturedata modelingmachine learninganalytical modelsentity resolutiondata ingestiondata transformationSQLPython
Soft Skills
leadershipmentoringcommunicationcollaborationstrategic thinkingproblem-solvingcross-functional teamworkadaptabilityinsight generationstakeholder engagement