GreenSky is hiring a Director of Business Intelligence

GreenSky is seeking a Director of Business Intelligence to lead the transformation of our Enterprise Data platform into a world-class analytical powerhouse. This is a high-impact leadership role at the intersection of data engineering, analytics, AI enablement, and business strategy. The ideal candidate combines deep technical expertise in modern data warehousing, ETL/ELT, and AI/ML tooling with the leadership skills to develop a team of Data and Test Engineers and align data strategy to business outcomes. You will inherit a complex Snowflake-based platform and lead the work of rationalizing, optimizing, and elevating it. Duties & Responsibilities: Platform Assessment & Optimization - Conduct a comprehensive audit of the existing data warehouse: data quality, duplication, schema design, and query performance; Establish data modeling best practices appropriate to GreenSky's workloads; Define and enforce Snowflake performance optimization standards: clustering keys, materialized views, warehouse sizing, and cost governance; Rationalize and modernize Qlik Talend ETL jobs - prioritizing maintainability, observability, and resilience; Establish modern software engineering practices across the team - version control, peer code review, CI/CD, and automated testing for all data pipeline and schema changes; Improve Fivetran HVR sync reliability and introduce proper CDC monitoring and alerting. Data Strategy & Roadmap - Define a structured 3-month, 6-month, and 2-year data platform roadmap with clear milestones, owners, and success metrics; Lead the migration path from reactive, fragmented reporting toward a governed, self-service analytics model; Evaluate and recommend modern data stack enhancements (e.g., dbt for transformation, Airflow/Prefect for orchestration, Great Expectations for data quality); Develop a strategic AI/ML enablement plan leveraging Snowflake Cortex and third-party LLM integrations to power predictive analytics and business intelligence; Drive adoption of a Semantic Layer / Metrics Layer to create a single source of truth for business KPIs; Review and enhance the data governance framework including ownership, lineage, classification, and access controls. Required Skills/Qualifications: 8+ years of progressive experience in Data Engineering, Business Intelligence, or Data Platform roles; 3+ years in a leadership or management capacity overseeing data engineering teams; Deep hands-on expertise with Snowflake: architecture, performance optimization, cost management, and security; Strong background with ETL/ELT tooling - Qlik Talend, Fivetran, or equivalent enterprise platforms; Proven track record of modernizing legacy data platforms in production environments; Experience designing and enforcing data governance, quality, and observability frameworks; Demonstrated ability to translate technical complexity into business-aligned roadmaps and executive-level communication; Proficiency in SQL at an advanced level; familiarity with Python for data automation. Preferred Qualifications: Experience with MS SQL Server and CDC patterns; Hands-on experience with Git, code repositories, and deployment automation (CI/CD) for data warehouse and database change management; Exposure to AI/ML integration patterns on data platforms - Snowflake Cortex, LLM APIs, or MLflow; Experience with data observability platforms (Monte Carlo, Datafold, Great Expectations); Knowledge of Data Mesh, Data Lakehouse, or Medallion architecture patterns; Experience with orchestration tools such as Apache Airflow, Prefect, or Dagster; Familiarity with financial services, fintech, or lending domain data.