Mission Lane

Financial Planning and Analysis

• Lead the day-to-day execution of annual operating budgets and quarterly rolling forecasts, ensuring work plans align with broader corporate strategy.
• Independently resolve complex modeling problems, building and updating driver-based models to forecast business performance.
• Conduct ROI and NPV analysis on business initiatives, operating with independence to provide the technical "source of truth."
• Act as the functional specialist on collaborative projects with Credit, Growth, and Strategy, contributing technical expertise to help partners understand the financial impact of their decisions.
• Complete high-impact individual work while being a resource for the team, which may include training or supporting other employees on financial tools and best practices.
• Leverage EPM software (like Workday Adaptive) and SQL to automate repetitive tasks, make decisions on process improvements, and conduct deep dive analyses.

Principal Financial Analyst

Marketing Operations

• Serve as the final quality gatekeeper for all marketing campaigns, ensuring every offer, term, and disclosure is perfectly mapped in our highly regulated financial environment.
• Own and execute the Direct Mail technology roadmap, partnering with Engineering and Data teams to design scalable workflows.
• Identify opportunities to automate data processing and campaign building, reducing manual steps and accelerating our time-to-launch.
• Lead the production lifecycle, managing print vendor relationships, postal logistics (USPS), and inventory to optimize pricing.
• Directly manage and develop the marketing operations team, fostering a culture of uncompromising attention to detail and continuous growth.
• Improve and maintain robust documentation and processes for responding to audits with transparency and integrity.

Senior Manager, Marketing Operations

Cloud Engineer

• Design, implement, and maintain Mission Lane's GKE (Google Kubernetes Engine) based cloud infrastructure on GCP.
• Build and evolve platform capabilities including service mesh (Istio), API gateway (Solo Gloo), observability stack (Prometheus/Thanos, Grafana, Loki, Tempo), and GitOps tooling (ArgoCD/Kargo).
• Architect scalable, resilient, and secure solutions that align with business requirements and industry best practices.
• Drive infrastructure decentralization efforts and champion microservice-based architectures.
• Develop and maintain infrastructure as code using Terraform, Kubernetes Config Connector, and Helm.
• Build CI/CD pipelines using GitHub Actions to automate deployments, testing, and operations.
• Create self-service tooling and automation that improves engineering productivity and reduces operational toil.
• Implement GitOps practices and ensure all infrastructure changes are version-controlled and auditable.
• Design and implement cloud networking solutions including VPCs, service meshes, load balancers, and firewall rules.
• Participate in 24x7 on-call rotation to ensure platform availability and rapid incident response.

Cloud Platform Engineer

Data Scientist

• Lead the strategic direction of data science for the next phase of Mission Lane’s growth
• Innovate on the application of machine learning to underwriting and other practical problems
• Report directly to the COO
• Lead one of the most knowledgeable and effective data science teams in fintech
• Drive financial and customer outcomes through machine learning and cross-functional collaboration with the entire business
• Develop the data science team to add new data sources, improve modeling methodology, and practice sound risk management

Head of Data Science

Data Engineer

• Design, develop, and maintain high-performance data pipelines using Python, SQL, dbt, and Snowflake on GCP
• Engage in efforts to advance code quality, test coverage, and maintainability of data pipelines
• Champion and implement software engineering best practices, including code reviews, testing methodology, CI/CD, and documentation
• Support the adoption of data quality tools and practices (e.g., data lineage, automated alerting)
• Research, evaluate, and recommend new technologies and tools to improve data platform
• Contribute to the data architecture and design of data warehouse
• Collaborate with software engineering teams to define data structures, streamline ingestion processes, and ensure data consistency
• Work closely with stakeholders (data scientists, analysts, business users) to understand their data needs and translate them into technical requirements
• Troubleshoot and resolve complex data pipeline issues, ensuring data quality and reliability
• Contribute to the development and maintenance of CI/CD pipelines for data infrastructure

Senior Data Engineer

Security Engineer

• Define, implement, and oversee enterprise-wide information security and risk management strategy
• Develop, own, and continually refine the comprehensive Information Security and Cyber Risk Management strategy and roadmap for the company
• Lead, mentor, and scale a high-performing security organization
• Manage the security budget, technology investments, and vendor relationships
• Establish and maintain an enterprise-wide risk management framework
• Ensure rigorous compliance with all relevant financial regulations and standards
• Oversee all security audits, compliance assessments, and regulatory examinations
• Collaborate with legal, compliance and privacy functions
• Define and govern the security architecture for cloud-native environment
• Implement and manage security tools and technologies
• Develop, test, and lead the Security Incident Response Plan (SIRP)
• Manage Disaster Recovery (DR) and Business Continuity Plan (BCP) efforts
• Provide reporting on security posture, key risks, and security metrics to Executive Team and Board of Directors

Head of Information Security – CISO

Operations

• Provide continuous feedback, conduct performance reviews, and support team members' development to help them excel in their roles.
• Create a culture of trust, collaboration, and accountability by promoting open communication and supporting individual and team well-being.
• Analyze team and individual data (e.g. CSAT, AHT, and adherence) to identify improvement areas and coach team members toward their goals.
• Partner closely with Workforce Management, Learning, and Quality Management teams to identify trends, address performance gaps, and drive continuous improvement.
• Ensure all policies, procedures, and compliance standards are followed consistently to protect our customers and the organization.
• Lead local initiatives and contribute to cross-functional projects that enhance the overall customer experience.

Senior Operations Lead – Servicing

Product Manager

• Define and execute the product roadmap for our post-application decisioning engine, translating high-level strategic goals into detailed technical requirements and user stories.
• Partner with the Data, Credit, and Engineering teams to operationalize complex underwriting models, ensuring business logic is correctly translated into platform features that balance risk separation with speed-to-market.
• Optimize our portfolio of third-party data integrations to balance approval accuracy with unit economics and data costs.
• Collaborate with Fraud Operations to implement real-time defenses against synthetic fraud and identity theft attacks.
• Monitor the health of the decisioning platform to ensure high availability, low latency, and accurate error handling while maintaining a seamless customer experience.