[Hiring] Senior Director - Data Platform & Analytics @Harbor Compliance

Role Description

The Senior Director of Data Platform & Analytics is a strategic leadership position tasked with building Harbor Compliance’s first end-to-end data platform and insight engine. This role exists to unify fragmented data from source systems—including HubSpot, financial platforms, and HRIS—into a single, AI-augmented source of truth that drives executive decision-making. As the primary architect of our data future, you will bridge the gap between complex engineering and boardroom strategy, transforming raw data into a governed, reliable asset that powers every department from Finance to Marketing.

• Architect and productionize a scalable data warehouse or lakehouse environment that serves as the company’s definitive system of record.
• Lead the end-to-end integration of primary source systems, including CRM, financial, HR, and marketing data, into a unified platform.
• Define and gain cross-functional alignment on standardized business metrics such as ARR, CAC, churn, and headcount costs.
• Automate 90% or more of recurring executive and departmental reporting to replace manual processes with real-time, self-service dashboards.
• Establish and enforce rigorous data governance standards, including 99% pipeline reliability, comprehensive documentation, and strict access controls.
• Partner with leadership across Finance, Marketing, and Operations to translate ambiguous business questions into actionable data products and insights.
• Develop a long-term strategic roadmap for the data function, including future hiring plans and the sequencing of specialized engineering and analyst roles.
• Drive the adoption of the data platform as the primary engine for recurring business reviews and high-stakes organizational decisions.

Qualifications

• 5+ years of hands-on experience spanning the full data stack, including engineering, analytics engineering, and business intelligence.
• Proven track record of building or materially rebuilding an end-to-end production data environment from raw ingestion to stakeholder delivery.
• Advanced technical proficiency in SQL, Python, and analytics engineering tools such as dbt for transformation and version control.
• Extensive experience designing scalable architectures using modern platforms such as Snowflake, BigQuery, or Databricks.
• Deep familiarity with B2B SaaS and recurring revenue metrics, including the ability to model complex customer lifecycles and pipeline conversions.
• Demonstrated ability to manage complex, multi-stakeholder projects and maintain momentum in a lean, fast-paced environment.
• Expert-level capability in building executive-facing dashboards and reporting layers in tools like Power BI, Tableau, or Looker.
• Experience operating as a founding or lead data hire with the ability to balance high-level architecture with hands-on technical execution.

Requirements

• Mastery of ELT/ETL pipeline engineering using tools such as Fivetran, Airbyte, or equivalent integration services.
• High fluency in AI-augmented development workflows, utilizing tools like GitHub Copilot or Claude to accelerate delivery and documentation.
• Specialized knowledge of HubSpot data structures and CRM-to-revenue analytics integration.
• Strong understanding of data observability and reliability frameworks, including automated failure alerting and lineage tracking.

Benefits

• Health benefits
• Flexible paid time off
• Parental leave
• Fertility and adoption assistance
• 401(k)
• Educational reimbursement