Director, Data Science

CardWorks

Director of Data Science overseeing analytics and competitive intelligence within financial services. Drives AI-powered insights to support strategic decision-making and enhance business performance.

Posted 7/23/2026full-timeSouth Jordan • New York, Utah • 🇺🇸 United StatesLead💰 $146,409 - $162,676 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in advanced analytics, machine learning, and AI applications to drive strategic insights and business decisions within the financial services sector. Proficient in integrating diverse datasets and presenting complex findings to executive leadership and stakeholders.

Highest-signal resume keywords

Machine Learning ApplicationAdvanced Analytics ExpertiseSQL ProficiencyFinancial Services ExperienceGenerative AI Knowledge

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Statistical TechniquesPredictive AnalyticsData AnalysisRisk Management FrameworksPortfolio Performance AnalysisKPI Scorecard DevelopmentMarket ResearchCompetitive IntelligenceBusiness AnalyticsFinancial Engineering

Soft Skills

Analytical ThinkingCommunication SkillsSelf-Starter AttitudeCollaborationPresentation Skills

Tools & Technologies

PythonSQLAWSSnowflakePower BISASRLLMsRAG ArchitecturesAI Agents

Industry Keywords

Consumer LendingCredit CardsBankingPaymentsFinTechMarket IntelligenceRegulatory ComplianceData-Driven Decision-MakingStrategic Business InsightsInnovation Culture

Tech Stack

Tools & technologies

AWSPythonSQL

About the role

Key responsibilities & impact

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 the 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.
Utilize Large Language Models (LLMs) to analyze and summarize earnings calls, SEC filings, analyst reports, press releases, industry publications, and competitor disclosures.
Develop Retrieval-Augmented Generation (RAG) solutions and AI agents that enable 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.

Requirements

What you’ll need

Bachelor’s degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline required; Master's degree preferred.
5+ years of experience in Business Analytics, Data Science, Competitive Intelligence, Market Research, Strategy Analytics, Risk Analytics, or related analytical roles.
Experience within Financial Services, Consumer Lending, Credit Cards, Banking, Payments, or FinTech industries required.
Strong understanding of lending economics, including interest income, interchange, fees, charge-offs, delinquency, portfolio performance, and risk management frameworks.
Proven experience applying machine learning, artificial intelligence, and advanced analytics to solve business problems and generate strategic insights.
Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions preferred.
Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms.
Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools preferred.
Demonstrated ability to communicate complex technical findings and strategic recommendations to executive leadership, regulators, auditors, and non-technical stakeholders.
Highly analytical self-starter with the ability to manage multiple priorities and deliver results in a fast-paced, highly regulated environment.

Benefits

Comp & perks

Competitive Pay , including a Bonus Target or Variable Pay Incentive Program
Medical, Dental, and Vision (plus much more)
401(k) Plan with Company Match
Short- & Long-Term Disability
Wellness Programs
Group Life and AD&D Insurance
Paid Vacation, Sick Days and bank Holidays
Employee Engagement Activities including Employee Appreciation Day, DEI Employee Resource Groups, Corporate Social Responsibility, Service Recognition