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Analyzes product usage, client behavior, and performance metrics for lending products; builds dashboards and reports; supports requirements, user stories, market research, data validation, documentation, and roadmap tracking. Collaborates with product managers, engineers, and client-facing teams to translate data and feedback into product decisions.

Analyze product usage, client behavior, and performance metrics for lending products; build dashboards and reports; support requirements, user stories, market research, data quality checks, roadmap tracking, and product documentation. Collaborate with product managers, engineers, and client-facing teams to translate data and feedback into product decisions.

Own product initiatives from discovery through launch and post-release evaluation. Translate business and client needs into requirements, user stories, acceptance criteria, and technical documentation. Partner with engineering, data science, QA, operations, and client teams to develop reliable data and AI-powered products. Work hands-on with SQL, databases, pipelines, and APIs while evaluating AI quality, accuracy, retrieval relevance, latency, cost, security, and user feedback.

Design, build, and operate scalable batch and near-real-time data pipelines on AWS. Lead complex data engineering projects, translate business needs into data models and technical solutions, ensure data quality and reliability, and shape platform roadmaps. Integrate AI workflows such as LLM orchestration, embeddings, and vector search while collaborating with product and engineering teams across financial and analytical products.

Develop and maintain full-stack software products, APIs, services, and data-driven applications. Apply software engineering best practices, performance optimization, automated testing, documentation, and agile delivery. Collaborate with product stakeholders to improve user experiences, develop prototypes, and deliver product workflows. Contribute technical leadership, internal tooling, cloud architectures, containerized services, infrastructure configurations, and AI-assisted engineering workflows.

Leads Trepp’s Data Science & Modeling team, overseeing hiring, mentoring, technical roadmaps, model design, validation, deployment, and production AI systems. Shapes enterprise AI strategy, identifies high-value use cases, advises executives on AI risks and capabilities, and partners with Product, Sales, and Engineering. The role requires hands-on expertise in data science, machine learning, LLMs, MLOps, cloud-native deployment, and financial data applications.