Director, Data Science
$146,409–$162,676 year
HybridWilmington, North Carolina, United States or Woodbury, Minnesota, United States
Job Summary
Lead the development of enterprise reporting, executive dashboards, KPI scorecards, portfolio analytics, and competitor benchmarking solutions. Conduct in-depth analysis of industry trends, competitive dynamics, emerging technologies, 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 using Large Language Models and Retrieval-Augmented Generation architectures. Build executive AI copilots that support strategic planning, competitive analysis, and business decision-making while integrating external datasets with internal performance data to generate comprehensive insights. Partner with business, product, marketing, digital, risk, technology, and finance leaders to translate analytical findings into actionable business recommendations. Present complex analytical findings and strategic recommendations to executive leadership in a clear, concise, and compelling manner.
Required Qualifications
- Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, Data Science, Business Analytics, Financial Engineering, or related quantitative discipline
- 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
- 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
- Strong proficiency in SQL, Python, Snowflake, AWS, and modern analytics platforms
- 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
- AI-first and market-first mindset
- Strategic thinker with strong business acumen
- Executive presence and storytelling capability
- Strong stakeholder management and influencing skills
- Curiosity-driven approach to problem solving and innovation
- Ability to challenge assumptions with data and evidence
- Commitment to driving measurable business outcomes through analytics and intelligence
- Ideally, the qualified candidate will work at the following location(s): South Jordan, UT, Woodbury, NY, Wilmington, DE
Desired Qualifications
- Master's degree
- Experience working with Generative AI, LLMs, RAG architectures, AI agents, and market intelligence automation solutions
- Experience with Power BI, PowerPoint, SAS, R, or similar analytical and visualization tools
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