Development Manager - Artificial Intelligence, SAP Labs Singapore

at  SAP

WE HELP THE WORLD RUN BETTER

Our company culture is focused on helping our employees enable innovation by building breakthroughs together. How? We focus every day on building the foundation for tomorrow and creating a workplace that embraces differences, values flexibility, and is aligned to our purpose-driven and future-focused work. We offer a highly collaborative, caring team environment with a strong focus on learning and development, recognition for your individual contributions, and a variety of benefit options for you to choose from. Apply now!
SAP Labs Singapore is the 20th engineering hub in the SAP Labs Network and is the newest innovation hub at SAP that drives product leadership, fosters the best talent, and aims to boost ecosystem and community engagement with a variety of initiatives. SAP Labs Singapore has the ambition to expand significantly and become the Embedded Artificial Hub for SAP, leveraging on core competencies in the current teams.

ROLE

As a Development Manager for Artificial Intelligence team, you will lead teams to build artificial intelligence assets (services, components, content). You will create compelling product visions and lead teams to execute on this vision. As a leader you will represent the work of your teams towards internal and external stakeholders. You will work together with the development leads, data scientists, product owners, product managers and development operations colleagues in your team and other teams to create value for our customers from the first idea to a successful market entry, adoption and beyond.

WHAT YOU’LL DO

Product Delivery - Define product plans and execute against a committed delivery timeline; Manage the day-to-day activities of the development team
Product Ownership - Ownership of the complete software development lifecycle, designing, leading implementation, and testing of new features, ensure adoption by stakeholders within a fast-paced, agile environment
Product Support - Manage customer expectations via product support ensuring high standards in incident processing, quality of interactions and fixes that are delivered
Development Expertise - Provide functional, architectural and data science guidance to the team
Technical Hands-On - Maintain a hands-on approach to deliver highly available and scalable Artificial Intelligence Assets
People Management - Management of people including active engagement, staffing, talent management, career aspirations, mentoring and enhancing skills of team members to maintain a best-in-class Artificial Intelligence development team
Location Leadership – Actively contribute and drive various leadership initiatives for the location e.g. cross unit collaboration, training plan execution, general administration, hiring & internship management, budget planning and adherence etc.