Software Engineering Manager

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.

• 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.

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.