Senior Manager, Case Management

Job Summary

We are seeking an experienced Senior Manager, Case Management to lead the engineering team responsible for building customer-facing case management and investigation platforms. This role will oversee the architecture, development, and delivery of tools that enable investigators, analysts, and operational teams to efficiently triage, review, investigate, and resolve cases at scale.

The ideal candidate is a hands-on engineering leader with strong frontend expertise, experience managing high-performing engineering teams, and a proven ability to architect and deliver complex, customer-facing platforms. Experience in fraud, risk, compliance, KYC, identity, or case management environments is highly preferred.

Key Responsibilities

Engineering Leadership & Team Management

• Lead, manage, and grow a team of frontend and full-stack engineers developing case management and investigation solutions.
• Establish clear technical and performance expectations while fostering a culture of collaboration, accountability, and continuous improvement.
• Coach, mentor, and develop engineers through regular feedback, career development, and performance management.
• Participate in hiring and team-building efforts to develop a high-performing engineering organization.

Architecture & Product Development

• Own the technical architecture and engineering roadmap for customer-facing case management and investigation platforms.
• Lead the design and development of scalable, reliable, and secure applications supporting high-volume workflows.
• Drive engineering standards through code reviews, technical design discussions, architecture reviews, and governance processes.
• Ensure solutions are designed for performance, scalability, maintainability, and long-term growth.
• Partner closely with Product, Engineering, Data Science, and other internal stakeholders to translate business requirements into effective technical solutions.

Case Management & Investigation Workflows

• Oversee the development of intuitive tools that allow investigators and analysts to triage, review, investigate, and resolve cases efficiently.
• Translate customer needs and operational challenges into scalable technical capabilities.
• Improve case management workflows, user experiences, and operational efficiency through thoughtful product and engineering solutions.
• Support the development of platforms that manage complex, high-volume transactional and investigative processes.

Cross-Functional Collaboration

• Work directly with product leaders and business stakeholders to define requirements, prioritize initiatives, and establish measurable outcomes.
• Serve as a technical partner to stakeholders, communicating complex engineering concepts clearly to both technical and non-technical audiences.
• Collaborate with Data Science and Engineering teams on API, platform, and AI/ML-enabled capabilities.
• Influence technical and product decisions across the organization while maintaining alignment with broader business objectives.

Qualifications

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field.
• 10+ years of professional software engineering experience.
• 5+ years of experience managing or leading software engineering teams.
• Strong frontend development expertise, particularly with React or similar modern frameworks.
• Proven experience architecting and delivering large-scale, distributed, customer-facing platforms.
• Experience working with high-volume transactional systems and microservices architectures.
• Strong understanding of software development lifecycle, architecture, engineering standards, and modern development practices.
• Demonstrated ability to translate customer and business requirements into scalable technical solutions.
• Excellent stakeholder management, communication, and cross-functional leadership skills.

Preferred Qualifications

• Experience developing solutions in fraud, risk, compliance, KYC, identity, or case management.
• Experience working with AI/ML technologies, particularly in fraud, risk, or investigative applications.
• Mobile application development experience.
• Experience working closely with Data Science teams on data-intensive products.
• Experience building platforms that support complex investigation, workflow, or operational processes.