Senior Director Software Engineering

Overview

We are a Healthcare Data Analytics company looking for Senior Director, Software Engineering within our Payment business. In this role you will lead, direct, and manage the cross-functional technology delivery team. You will manage all the operational aspects of the software development to ensure business and project objectives are met. You will provide technical, administrative, and people leadership for multiple, diverse, and geographically distributed teams.

You will champion an AI-native approach to software delivery by integrating AI tools, automation, and intelligent engineering workflows across the software development lifecycle to accelerate delivery, improve quality, and increase engineering effectiveness. You will partner closely with product management, enterprise data management, IT, and business stakeholders to align technology delivery with business priorities while meeting healthcare compliance, security, and performance requirements. This role requires a lead-by-example leader who sets the standard for AI-native engineering and shows teams how modern software delivery can be transformed through AI, automation, and strong technical judgment.

Responsibilities

• Leadership & Strategy: Build and lead a multi-team engineering organization with clear goals, outcome-based metrics, and a culture of continuous improvement.
• AI-Driven Development: Advance AI-enabled engineering practices by integrating AI tools and automation into workflows with human oversight and clear guardrails.
• Technology Alignment: Align teams to enterprise architecture, governance, and shared engineering standards to improve consistency and code quality.
• Technical Execution & Oversight: Lead roadmap execution with hands‑on technical and architectural oversight to ensure scalable, secure, and maintainable solutions.
  • Administer budgets, timelines, and performance measures to achieve short-term and long-term objectives for a particular business area.
  • Instruct, direct, and has oversight responsibility of managers and staff across the Engineering team, working cooperatively with other leaders.
  • Influence organizational structure within the area of responsibility. Fully responsible for a functional business area and aligns resources to the achievement of business area goals and objectives.
• Resource Optimization: Improve delivery throughput and resource utilization through streamlined processes, automation, and AI-enabled tools without compromising quality or maintainability.
• Change Management & Influence: As a member of the Technology leadership team, establish and cultivate relationships with business contacts, stakeholders to understand corporate, business and technology strategies, champion engineering best practices and operational excellence to meet client's needs.
• Cross-Functional Collaboration: Partner across Product, Operations, Data, Finance, Security, Program Management and Business teams to translate priorities into engineering plans that deliver measurable outcomes.
• Process Improvement & Innovation: Modernize development and testing practices through automation, DevOps, and AI-enabled workflows that improve quality, security, and efficiency.
• Talent Development: Recruit, develop, and retain strong engineering talent while building a culture of growth, accountability, and innovation.
• Hire, develop, coach, lead and retain top-tier talent, with a focus on building and improving a team and culture that is able to assist in employing best in class practices to support and drive high levels of internal and external customer satisfaction.
• Complete all responsibilities as outlined in the annual performance review and/or goal setting.
• Complete all special projects and other duties as assigned.
• Must be able to perform duties with or without reasonable accommodation.

This job description is intended to describe the general nature and level of work being performed and is not to be construed as an exhaustive list of responsibilities, duties and skills required. This job description does not constitute an employment agreement and is subject to change as the needs of and requirements of the job change.

Qualifications

• Education & Experience: 10+ years of hands‑on experience in software engineering, including 6 years of leading engineering teams as a people manager. Bachelor's degree in computer science or a related field or equivalent; Master’s degree preferred.
• Technical Proficiency: Extensive experience designing and delivering complex software systems using Java, React/Angular, microservices, relational and NoSQL databases, cloud platforms, and modern AI‑enabled engineering practices, with recent hands‑on technical work.
• Enterprise Software Delivery: Proven success leading multiple teams and managers to deliver enterprise software across distributed organizations.
• Leadership Skills: Strong leadership skills, including building, developing, and mentoring effective engineering teams. Demonstrated experience with managing global development teams.
• Adaptive Delivery Models: Strong understanding of Lean, iterative, and flow‑based delivery practices that support quality, continuous improvement, and effective execution.
• Modern Engineering Practices: Track record of advancing engineering practices through automated testing, TDD, and CI/CD.
• Operational & DevOps Knowledge: Solid understanding of software operations and DevOps practices, including reliability, monitoring, telemetry, and incident response.
• Problem Solving: Strong problem‑solving skills and sound judgment in complex technical environments.
• Strategic Execution: Ability to set and execute short-and long-term goals across projects and teams.
• Communication: Strong verbal and written communication skills, with the ability to explain technical concepts clearly to diverse stakeholders.
• Industry & Compliance: Experience in healthcare or other regulated industries with strong compliance, security, and data privacy requirements is preferred.

Cognitive / Mental Requirements:

• Communicating with others to exchange information.
• Problem‑solving and thinking critically.
• Completing tasks independently.
• Interpreting data.
• Making timely decisions in the context of a workflow.
• Maintaining focus.
• Assessing the accuracy, neatness and thoroughness of the work assigned.
• Learning new tasks and completing tasks in situations that have a speed or productivity quota.