Director of Business Intelligence

About Green Sky

Green Sky, LLC, headquartered in Atlanta, is a leading technology company Powering Commerce at the Point of Sale® for a growing ecosystem of merchants, consumers, and banks. Green Sky’s highly scalable, proprietary and patented technology platform enables merchants to offer frictionless promotional payment options to consumers, driving increased sales volume and accelerated cash flow. The Green Sky® Program is operated on behalf of, and financing is offered and made by, federally insured, federal or state chartered financial institutions, which leverage Green Sky’s technology to offer loans to primarily super-prime and prime consumers nationwide.

Since Green Sky's inception, nearly 6 million consumers have financed nearly $70 billion of commerce using Green Sky’s real time “apply and buy” technology.

Position: Director of Business Intelligence

Location:
Hybrid/Sandy Springs, GA (3 days in the office/2 days remote)

Overview:

Green Sky 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.

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 Green Sky'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

• 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…