Full-Time

Director, Data Science

Updated on 9/4/2026

CardWorks Servicing

CardWorks Servicing

Compensation Overview

$146.4k - $162.7k/yr

South Jordan, UT, USA + 2 more

More locations: Woodbury, NY, USA | Wilmington, DE, USA

Hybrid

A hybrid or fully remote work model may be considered based on the hiring manager’s decision.

Bachelor's, Master's

Category
Data & Analytics (1)
Required Skills
LLM
Power BI
Market Research
Python
SAS
Data Science
R
SQL
Machine Learning
RAG
AWS
Risk Management
Business Analytics
Snowflake
PowerPoint/Keynote/Slides
Requirements
  • A bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or a related quantitative discipline is required.
  • At least 5 years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles is required.
  • Experience in Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries is required.
  • Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks is required.
  • Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights is required.
  • Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms is required.
  • Ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders is required.
  • Ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment is required.
Responsibilities
  • Lead the development and delivery of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, competitor benchmarking, and strategic business insights.
  • Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, market opportunities, and regulatory developments affecting consumer lending, credit card, banking, payments, and fintech industries.
  • Apply advanced statistical techniques, machine learning models, and predictive analytics to identify patterns, forecast market changes, and support strategic business decisions.
  • Design and implement AI-powered market intelligence and competitive research solutions that automate the collection, synthesis, and interpretation of market data.
  • Use Large Language Models to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures.
  • Develop Retrieval-Augmented Generation solutions and AI agents for continuous monitoring of competitor activity, customer trends, market signals, and regulatory developments.
  • Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making.
  • Integrate external market, economic, customer, and industry datasets with internal business performance data to generate comprehensive insights.
  • Analyze portfolio performance across lending products, identifying opportunities related to growth, profitability, customer behavior, risk management, and operational efficiency.
  • Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations.
  • Support board presentations, regulatory requests, audit reviews, second-line risk reviews, and executive strategic initiatives through rigorous analysis and communication.
  • Prepare audit-ready analyses and documentation to support regulatory, compliance, and governance requirements.
  • Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner.
  • Foster a culture of innovation, analytics excellence, data-driven decision-making, and AI adoption across the organization.
Desired Qualifications
  • A master's degree is preferred.
  • Experience with Generative AI, Large Language Models, Retrieval-Augmented Generation architectures, AI agents, and market intelligence automation solutions is preferred.
  • Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools is preferred.

Company Size

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Company Stage

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Total Funding

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Headquarters

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Founded

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