Associate Director, Software Engineering

Job description

About the Role: Grade Level (for internal use): 12The Role:  Associate Director, Software Engineering The Team : Enterprise Data Organization | Distribution and Data Platforms – Data Management Tech | Internal Knowledge Platforms   The Impact  Delivering data to clients in a timely manner is key to the success of the company. As a software engineer, you will focus on reliability, performance and scalability.  This role offers a unique opportunity to work on a high-impact project. The successful customer and data onboarding tools will be closely watched by stakeholders, executives, and clients.     What’s in it for you  • Professional Growth: You’ll have the opportunity to join a high-performing team, growing your technical skills, and contribute to strategic decisions.  • Global Exposure: Collaborate with cross-functional teams across different geographies, gaining exposure to diverse perspectives and markets.  • Innovation: Shape the future of data integration by working on cutting-edge technologies and solving complex challenges.  Key Responsibilities:  • In partnership with Product, defining and executing the engineering roadmap for semantic stack solutions, including integration with bespoke or proprietary internal systems.  • Shepherding the end-to-end software development lifecycle, from requirements gathering and system design through to cloud-native deployment automation.  • Collaborative R&D and rapid prototyping within the semantic space, working closely with Knowledge Engineering.  • Architecting shared capabilities, in a shift-left environment enabling federated consumption across divisions and business units of S&P Global.  • Ensuring systems are secure, compliant, auditable, and observable in-alignment with Enterprise standards.  Required Qualifications:  • Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.  • 10&#43; years of experience in Software engineering, with minimum 4 years in roles focused on direct leadership of Software and Quality Engineering teams.  • Deep knowledge and experience with container management platforms-based technologies in AWS.  • Experience and comfort developing modern Python software (3.13&#43; minimum).  • Experience and comfort implementing and understanding CICD/ IAC processes (GitHub Actions, Terraform).  • Proven ability to lead and scale software, quality, and cloud engineering programs in complex, data-driven environments.  • Exceptional communication skills, with the ability to translate architectural designs and software components to non-technical audiences, including compliance, product, and business teams.  • Agile mindset, with the ability to effectively manage through change and shifting priorities in a fast-paced environment.  Preferred Qualifications:  • Experience and comfort developing modern Java software (JDK17&#43; minimum).  • Demonstrated experience developing microservice architectures and event-driven systems handling both high-volume and high-velocity data.  • Prior experience with Resource Description Framework (RDF) data, SPARQL, and RDF-based triplestores is a significant plus.  <p style="text-align: