Senior Director of Software Engineering

Sr Director of Software Engineering (Java, AIML, RAG, Data/Analytics)

Your opportunity to make a real impact and shape the future of financial services is waiting for you. Let’s push the boundaries of what's possible together.

As a Senior Director of Software Engineering at JP Morgan Chase within the Architecture & Engineering unit of Consumer & Community Banking , you lead  the development and evolution of our Product Tooling ecosystem, you will define the technical vision, drive the architecture, and oversee the delivery of mission-critical tooling that supports product management, planning, execution, and analytics. You will champion the integration of AI technologies to automate workflows, generate actionable insights, and optimize product development processes. Your expertise is applied cross-functionally to drive the adoption and implementation of technical methods within various teams and aid the firm in remaining at the forefront of industry trends, best practices, and technological advances. Product Tooling platform is designed to empower product teams with advanced Product Agility Tools and AI-driven solutions, enabling faster decision-making, improved collaboration, and enhanced product outcomes across the organization, with strong emphasis on driving efficiency and effectiveness in our products.

Job responsibilities

• Technical Vision & Strategy: Develop and execute the technology strategy for Product Tooling, aligning with organizational goals and the evolving needs of product teams.
• AI Integration: Lead the design and implementation of AI-powered features, including generative AI, Retrieval-Augmented Generation (RAG), and machine learning models to automate product management tasks, generate recommendations, and provide actionable insights.
• Product Agility Tools: Oversee the development of tools that enhance product agility, such as backlog management, road mapping, prioritization, and cross-team collaboration platforms, while implementing consistent metrics and actionable insights to drive efficiency and effectiveness across product teams.
• Platform and Data Engineering Leadership: Ensure the Product Tooling ecosystem is scalable, secure, and highly availab le, supporting thousands of users and integrating seamlessly with other enterprise systems. Oversee the design, development, of robust data pipelines to support analytics, AI, and product tooling features. Ensure data quality, integrity, and security across all product tooling systems. 
• Team Leadership: Build, mentor, and lead high-performing engineering teams, fostering a culture of innovation, technical excellence, and continuous improvement.
• Product Experience: Deliver intuitive, high-quality user experiences for product managers and teams, leveraging AI to simplify workflows and improve productivity.
• Cross-Functional Collaboration: Partner with Product, UX, Data/Analytics, and business stakeholders to deliver cohesive solutions and drive adoption.
• Data-Driven Decisions: Use analytics and usage data to inform technology decisions, measure success, and continuously improve the platform.
• Innovation & Modernization: Stay ahead of industry trends, incorporating emerging technologies and best practices to maintain a leading-edge product tooling ecosystem.
• Security & Compliance: Ensure all tools and platforms adhere to security, privacy, and compliance standards.

Required qualifications, capabilities, and skills

• 15+ years of professional experience in technology/software engineering leadership, with a proven track record of delivering large-scale, enterprise platforms.
• Bachelor’s or advanced degree in Computer Science, Engineering, or related field.
• Deep expertise in building product management tools, workflow automation platforms, or similar enterprise solutions.
• Demonstrated experience integrating AI technologies (such as generative AI, RAG, and ML) into product or workflow tooling.
• Strong experience with cloud technologies (AWS, Azure, or GCP), microservices, modern web frameworks and data engineering including designing and implementing scalable data architectures, and data integration solutions using cloud platforms
• Experience leading multiple high-performing technology teams, managing managers, and mentoring principal engineers.
• Proven ability to deliver results in complex, fast-paced environments.
• Strong technical acumen, outcome-focused, and delivery-oriented.
• Experience engaging stakeholders to set strategy, align priorities, and deliver to a roadmap while adapting to changing business needs.
• Passion for building high-quality user experiences and a commitment to product excellence.

Preferred qualifications, capabilities, and skills

• Experience with AI-powered product management tools, automated documentation, and intelligent support systems.
• Hands-on experience with product agility frameworks (e.g., Scrum, Kanban, SAFe) and tools that support agile product development.
• Track record of delivering platforms in regulated environments.
• Experience with internal developer platforms and enterprise integrations.