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About GreenSky

GreenSky, 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. GreenSky’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 GreenSky® Program is operated on behalf of, and financing is offered and made by, federally insured, federal or state chartered financial institutions, which leverage GreenSky’s technology to offer loans to primarily super-prime and prime consumers nationwide. Since GreenSky's inception, nearly 6 million consumers have financed more than $60 billion of commerce using GreenSky’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:

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.

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

• 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

Our compensation structure is designed to reflect the cost of labor across various U.S. geographic markets. The base salary for this role ranges from $150,000 per year to $200,000 per year. Compensation will be determined by several factors, including relevant knowledge, skills, and experience. This role is also eligible to receive an annual bonus within a comprehensive total rewards package, alongside a full suite of medical, dental, vision, disability insurance, life insurance, 401k retirement benefits, paid time off, paid holidays, and paid personal/sick time. For further details, please visit https://www.greensky.com/benefits.

We anticipate that this position will remain open for at least 5 days, and candidates are encouraged to apply through our internal or external career sites.

If you have any questions about this job posting, please contact recruiting@greensky.com.

GreenSky is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.

For more information, visit us on the web at www.greensky.com.