We are seeking a highly skilled and experienced Product Team Technical Supervisor to lead one of our key product teams within the Industrial System Analytics (ISA) product group, focusing on Design Cost & Complexity. This role reports directly to the Product Line Owner and is critical for driving the development and delivery of cloud-native analytical solutions that integrate robust software engineering with advanced data science capabilities. As the Product Team Supervisor, you will be responsible for: + **Team Leadership & Management:** + Directly manage and mentor a product team of approximately 10 individuals across various disciplines including Software Engineering, Data Science, Product Management, Design, and Technical Anchoring. + Foster a high-performing team culture, providing coaching, career development guidance, and performance management to optimize individual and team contributions. + Ensure the team is well-supported, identifying and addressing impediments to productivity and flow. + **Technical Product Ownership & Delivery:** + Provide hands-on technical leadership, guiding the team in architectural design, software development best practices, and the implementation of scalable, reliable, and performant cloud-native applications. + Oversee the entire product development lifecycle, from Proof-of-Concept (POC) to production-ready solutions, ensuring robust engineering and timely delivery. + Collaborate with Product Managers to translate business requirements into technical specifications, prioritize backlogs, and ensure delivered software aligns with desired business outcomes. + Champion code quality, participate in technical reviews, and ensure adherence to engineering standards and security protocols. + **Software & Data Integration:** + Partner closely with Data Scientist colleagues to integrate advanced analytics, machine learning models, and data-driven insights into product solutions. + Work with Data Factory teams to establish efficient data ingestion pipelines and support the creation of valuable data products. + Drive the exploration and implementation of emerging technologies such as Generative AI (Gen AI) and Large Language Models (LLMs) to enhance product capabilities and foster innovation. + Ensure MLOps principles are applied for the effective deployment and management of machine learning components within products. + **Process Optimization & Collaboration:** + Promote and enforce Agile software development methodologies, Product Development Organization (PDO) models, and DevSecOps practices (CI/CD, TDD, etc.) to maximize efficiency and quality. + Facilitate regular governance ceremonies, track flow metrics, and leverage data to inform decision-making and continuous improvement. + Identify and resolve technical blockers, manage dependencies, and orchestrate cross-functional collaboration across product groups and internal teams. + Build strong relationships with peer Product Line Managers, Data Science partners, and Chief Architects to identify emerging foundational product needs and drive cross-functional integration. + **Experience:** + 10+ years of progressive experience in software delivery and product development roles. + 5+ years of experience in a leadership role managing software engineering and/or data engineering teams. + Demonstrated track record of successfully leading and delivering complex products with integrated software, machine learning, and data components. + Proven ability to operate effectively and deliver results in ambiguous and rapidly evolving business environments. **Requisition ID** : 49679