IKS Health - Vice President - Product Engineering

About IKS Health: IKS Health is on a mission to enable the efficient delivery of high quality care through a combination of leading edge technology and human expertise. The IKS Care Enablement Platform enables us to deliver the chores of healthcare, across administrative, clinical, operational burdens, to enable clinicians to focus on their core Purpose: delivering great care and bringing joy and purpose back to medicine. At IKS Health, we're redefining the future of Care Enablement and creating transformative value in healthcare by empowering clinicians to build healthier communities and enabling stronger, financially sustainable enterprises. Profile Description: Product Engineering encompasses designing, developing, and maintaining intelligent software products that meet customer needs and drive business growth. The Vice President Product Engineering is responsible for the end-to-end product development lifecycle, from ideation and requirements gathering to deployment, maintenance, and continuous innovation. This role will lead the development of next-generation healthcare platforms by leveraging Generative AI, Agentic AI, cloud-native architectures, and modern engineering practices, while collaborating closely with cross-functional teams to deliver secure, scalable, and high-quality products that achieve strategic business objectives. Key Responsibilities: - Develop and execute the product engineering strategy for Clinical/Or Revenue Cycle Management (RCM) or Value-Based Care (VBC) software products. - Drive innovation by integrating Generative AI, Agentic AI, intelligent automation, and AI-powered decision support capabilities into healthcare solutions to enhance clinical, operational, and business outcomes. - Identify opportunities for innovation and differentiation in the healthcare enablement platform market through AI, cloud, and modern engineering practices. - Oversee the end-to-end product development lifecycle, from concept through release, ensuring scalable, secure, resilient, and cloud-native product architectures. - Lead the design and delivery of AI-enabled, enterprise-grade, full-stack applications built on modern architecture principles, including API-first design, microservices, distributed systems, and event-driven architectures. - Ensure the delivery of high-quality software products that meet Clinical, RCM, and VBC business requirements. - Define and manage product roadmaps, prioritizing features, AI capabilities, and enhancements based on customer feedback, business priorities, and market trends. - Lead, mentor, and develop a high-performing engineering organization, fostering a culture of engineering excellence, innovation, AI adoption, ownership, and continuous improvement. - Build organizational capabilities in Generative AI, Agentic AI, platform engineering, full-stack development, and modern software engineering practices. - Ensure engineering teams have the required skills, platforms, tools, and AI capabilities to successfully deliver strategic initiatives. - Ensure software products comply with healthcare regulations and standards (e.g., HIPAA, HITECH) while implementing responsible AI governance, privacy, security, and compliance best practices. - Collaborate closely with Product Management, AI/ML, Data Science, Architecture, Sales, Marketing, Customer Success, and Operations teams to deliver customer-centric solutions. - Represent the organization at customer meetings, executive forums, and industry conferences, showcasing innovation in healthcare technology and AI. - Manage engineering budgets, investments, vendor relationships, and resources effectively to achieve business objectives. - Monitor engineering, operational, and financial performance using data-driven metrics to optimize costs, improve delivery velocity, and maximize ROI. Qualifications: - Bachelor's degree in Computer Science, Software Engineering, Information Technology, or a related field. - Master's degree (MS), MBA, or equivalent advanced qualification is preferred. Role Prerequisites: - 18-24 years of experience in software product engineering, with at least 5 years in a senior engineering leadership role. - Proven track record of developing, scaling, and managing enterprise software products, including experience with 0-to-1 product development, platform modernization, and digital transformation initiatives. - Demonstrated experience leading large engineering organizations delivering cloud-native SaaS products and enterprise digital platforms. - Experience driving AI-enabled product transformation, including Generative AI, Agentic AI, intelligent automation, conversational AI, or AI-powered enterprise applications, is highly preferred. - Experience building and scaling distributed engineering teams while driving engineering excellence, innovation, and organizational transformation. - Extensive experience in the healthcare industry with a strong understanding of Clinical About