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Originates mortgage loans, develops referral networks, markets the Rocket Mortgage brand, and manages a book of business. Advises clients on loan products, home buying, refinancing, and mortgage management. Evaluates credit, employment, income, assets, property, and other financial documents to determine eligibility. Guides clients from application through closing, resolves concerns, maintains referral relationships, and stays current on mortgage products and qualification requirements.

Reconcile primary servicer reports and remittances, research discrepancies, resolve cash settlement issues, prepare wires, manage servicer relationships, answer investor inquiries, maintain procedures, and support team projects within strict deadlines.

Develop and release software, solve complex technical problems, support production systems, lead incident resolution, and create reusable code patterns. Guide code and design reviews, establish engineering standards, conduct prototypes, document solutions, and mentor team members. Improve team delivery by addressing technical debt and process issues. Participate in Agile practices, software releases, integration testing, and an on-call rotation.

Leads a team of data analysts focused on experimentation, KPI measurement, reporting, and optimization of banking and consumer engagement operations. Owns analytics strategy, A/B testing, automation measurement, Snowflake-based analytical solutions, dashboards, and self-service reporting. Partners with Operations, Product, Engineering, and Finance to drive strategic decisions, profitability, and efficiency. Coaches team members, supports hiring, applies AI tools to analytics workflows, and communicates recommendations to senior leaders.

Own financial modeling, forecasting, reporting, variance analysis, and scenario planning for Real Estate Services FP&A. Partner with cross-functional stakeholders and Accounting to support strategic decisions, month-end close, and financial alignment. Integrate Workday and Adaptive Planning with business data, using SQL, Snowflake, and BI tools to improve models and automate dashboards. Translate complex financial findings into actionable narratives while identifying risks, opportunities, and process improvements.

Lead design and implementation of enterprise fraud prevention strategy and decisioning engines for loan products. Use data analytics and machine learning to assess fraud and identity risk, recommend verification standards, set KPIs, report to senior leadership, and lead/mentor a team to automate and improve fraud prevention while maintaining a frictionless customer experience.

Build AI-powered developer infrastructure for the core servicing platform, including coding-tool harnesses, scaffolding, context retrieval systems, evaluation frameworks, and workflow automation. Integrate AI assistance into CI/CD, code review, testing, and developer feedback loops. Establish technical direction, solve cross-team engineering problems, create reusable tooling, and enable platform teams to adopt AI-assisted development at scale.

Lead design and execution of fraud and identity verification strategies for personal lending. Analyze complex datasets, build dashboards and visualizations, recommend risk mitigation, collaborate with Product and Tech on integrations, ensure regulatory compliance, and present findings to senior leadership to drive production implementation.

Originates mortgage loans by building referral relationships, generating leads, consulting with clients, analyzing financial and property documents, recommending suitable loan products, and guiding borrowers from application through closing. Represents Rocket Mortgage in community functions, maintains a book of business, resolves client concerns, provides client service, and stays current on mortgage products, qualification standards, and process changes.

Designs, develops, and maintains data platforms, pipelines, and integration solutions across on-premises and cloud environments. Responsibilities include resolving data quality and security issues, building ELT processes, developing data scripts and relational or non-relational models, and monitoring data lake performance and scalability. The role also supports analytical and operational decision-making through reliable data solutions and collaborates with cross-functional teams.