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Director, Solutions Engineering Performance and Analytics

Posted 11 days agoViewed

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💎 Seniority level: Director, 7+ years

📍 Location: Sioux Falls, SD, Scottsdale, AZ, Troy, MI, Franklin, TN, Dallas, TX

💸 Salary: 99501.91 - 183764.31 USD per year

🔍 Industry: Financial services

🏢 Company: Pathward, N.A.

⏳ Experience: 7+ years

🪄 Skills: AWSPythonSQLBusiness IntelligenceCloud ComputingData AnalysisGCPMachine LearningTableauAzureData visualization

Requirements:
  • Typically requires 7+ years in a data analytics leadership role with a focus on strategy development, data governance, and reporting.
  • 3 years of commercial and/or consumer lending experience.
  • Strong expertise in data visualization tools (e.g., Tableau, Power BI, Looker).
  • Proficiency in advanced analytics techniques (e.g., predictive modeling, machine learning).
  • Advanced proficiency in data analysis tools and languages (e.g., SQL, Python, R).
  • Experience in developing and executing business intelligence strategies.
  • Ability to define and track KPIs and OKRs for executive decision-making.
  • Demonstrated ability to lead cross-functional teams.
  • Excellent communication skills to translate data insights.
  • Strong business acumen aligning data strategies with organizational goals.
  • Experience with cloud-based analytics platforms (e.g., AWS, Google Cloud, Azure) is a plus.
  • Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or a related field.
Responsibilities:
  • Develops and executes the CCL organization’s data and analytics strategy to drive insights and informed decision-making.
  • Defines and documents standards for metrics and processes.
  • Implements quality improvement efforts across CCL.
  • Designs dashboards and reports for actionable insights.
  • Partners with leadership to report KPIs and track performance.
  • Leads formulation of data and analytics strategy balancing self-service and core reporting infrastructure.
  • Assists in defining and tracking KPIs.
  • Collaborates with teams for optimized data collection.
  • Supports asset distribution and pricing strategies.
  • Leads data pipeline and analytics tool optimization.
  • Develops training programs to enhance data literacy.
  • Creates predictive models for decision-making.
  • Mentors a team of business analysts.
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