Director of Business Intelligence

GreenSky Administrative Services•Atlanta, GA

2d•Hybrid

About The Position

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.

Requirements

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

Nice To Haves

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

Responsibilities

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
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