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Vice President Business Intelligence

Job in Atlanta, Fulton County, Georgia, 30383, USA
Listing for: GreenSky®
Full Time position
Listed on 2026-10-17
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 225000 - 250000 USD Yearly USD 225000.00 250000.00 YEAR
Job Description & How to Apply Below

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 and make loans to primarily super-prime and prime consumers nationwide.

Since Green Sky’s inception, nearly 6 million consumers have financed more than $60 billion of commerce using Green Sky’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

Green Sky 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.

Key Responsibilities
  • Define and execute Green Sky'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 Green Sky'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,…
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