Software Engineering Manager

Job Description

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.

Responsibilities

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.

Qualifications

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Skills Required

Machine Learning, DevSecOps, MLops, Data Science, Software Engineering, Data Integration