SVP of Business Intelligence

GreenSky LLC; Alpharetta (GA); Hybrid; USD 225,000 - 250,000; Full time

Job summary

GreenSky LLC is seeking a transformational Senior Vice President of Business Intelligence & Data Engineering to lead the organization's data strategy and evolve into a data-driven fintech leader. You will build and scale teams responsible for data engineering, analytics, governance, and advanced analytics.

The role requires 15+ years in data leadership, fintech domain experience, and a proven track record with cloud data platforms.

Qualifications

• Bachelor’s degree in computer science, engineering, mathematics, statistics, data science, information systems, or a related field.
• Master's 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, BI 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.

Responsibilities

• Define and execute GreenSky's 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 GreenSky's 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.

Skills

Leadership

Data strategy

Executive communication

AI/ML enablement

Cloud data platforms

Education

Bachelor’s degree in CS/Engineering/Math/Statistics/Data Science/IS

Master’s degree; MBA preferred

Tools

Snowflake

SQL

Python

ETL/ELT tools

Data modeling

Data governance

Power BI

Tableau

Looker

Qlik

Job description

Overview

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 and make 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: 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 organization's 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.

Duties & Responsibilities

• Define and execute GreenSky's 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 GreenSky's 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.

Required Skills/Qualifications

• Bachelor’s degree in computer science, engineering, mathematics, statistics, data science, information systems, or a related field.


• Master's 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 $225,000 per year to $250,000 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.

If you have any questions about this job posting, please contact [e-mail].

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.