SVP of Business Intelligence

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. GreenSkys 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 GreenSkys technology to offer and make loans to primarily super-prime and prime consumers nationwide. Since GreenSkys inception nearly 6 million consumers have financed more than $60 billion of commerce using GreenSkys real time apply and buy technology.

Position: SVP of Business Intelligence

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

Overview:

GreenSky is seeking a transformational Senior Vice President of Business Intelligence & Data Engineering to lead the organizations enterprise data strategy and accelerate its evolution into a data-driven fintech leader.

This executive will be responsible for developing and executing comprehensive data analytics reporting artificial intelligence and business intelligence strategy that drives measurable business outcomes across credit risk operations marketing customer experience finance compliance servicing and executive leadership.

The ideal candidate combines deep expertise in modern data platforms cloud architecture business intelligence AI/ML enablement and financial services analytics with exceptional leadership capabilities. This leader will build and scale high-performing teams responsible for enterprise data engineering analytics engineering reporting governance master data management and advanced analytics.

• Define and execute GreenSkys enterprise data and analytics vision roadmap and operating model.
• Establish a multi-year strategy for data modernization analytics innovation and AI-enabled decision making.
• Create a world-class business intelligence function that delivers actionable insights across all business units.
• Establish enterprise KPI frameworks scorecards executive dashboards and board-level reporting.
• Drive adoption of self-service analytics capabilities while maintaining governance and data integrity.
• Lead enterprise data architecture platform engineering data integration and cloud data infrastructure.
• Oversee the optimization and expansion of GreenSkys data ecosystem including Snowflake ETL/ELT platforms real-time data capabilities and cloud-native architectures.
• Establish engineering standards for data quality observability scalability reliability security and performance.
• Drive modernization initiatives that improve speed-to-insight and reduce operational complexity.
• Ensure compliance with lending banking privacy regulatory and audit requirements.
• Partner closely with Risk Compliance Information Security and Legal teams to strengthen data controls and stewardship.
• Develop the vision for AI machine learning predictive analytics and intelligent automation.
• Establish frameworks for responsible AI model governance and performance measurement.
• Drive the application of advanced analytics to customer acquisition underwriting fraud prevention servicing optimization and portfolio performance.

• Bachelors degree in computer science engineering mathematics statistics data science information systems or a related field.
• Masters degree preferred; MBA highly desirable.
• 15 years of progressive experience in data engineering business intelligence analytics or data management leadership.
• 8 years leading enterprise-scale data and analytics organizations.
• Significant experience within fintech banking consumer lending payments or financial services.
• Proven leadership of large-scale cloud data platforms and modern data ecosystems.
• Deep expertise with:
• Snowflake
• SQL
• Python
• Modern ETL/ELT tools
• Data modeling
• Data governance frameworks
• Business intelligence platforms (Power BI Tableau Looker Qlik etc.)
• Demonstrated success developing enterprise data strategies and roadmaps.
• Experience presenting to executive leadership teams regulators boards and investors.

Preferred Qualifications

• Experience supporting lending credit risk fraud servicing or financial operations analytics.
• Experience implementing AI/ML solutions in regulated environments.
• Knowledge of consumer lending point-of-sale financing and banking regulations.
• Familiarity with real-time analytics and event-driven architecture.
• Experience leading enterprise data transformations during periods of rapid growth.

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 $225000 per year to $250000 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 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

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 .