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Development Manager-artificial Intelligence SAP

2 weeks ago

Queenstown, Singapore SAP Full time

**We help the world run better**

**About SAP**

**About SAP Labs Singapore**

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.

**SUMMARY**:
Artificial Intelligence team as part of SAP Labs Singapore has experienced professionals taking on challenges posed by the SAP customers. Based in Singapore, you will have the opportunity to work on breakthrough projects addressing real-world problems, challenging norms with some of the SAP’s key customers. As part of the global product engineering team, you will participate in rich and engaging conversations with experts around the globe.

SAP Labs Singapore provides an open, modern working environment and the opportunity to become part of the global SAP engineering community.

**THE 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.

**Expectations and tasks**

Your tasks include:

- _ 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.

**ROLE REQUIREMENT**:

- Degree in Computer Science, Data Science, Mathematics, Statistics, Operations Research, or related field
- 8+ years of experience in software product development with the focus on Artificial Intelligence
- Have a proven track record of building a culture of design excellence that develop high-impact products
- Experience implementing well-run, agile processes in multiple functions: Development, QA, Release
- Ability to communicate vision and strategy effectively to the team, partners, and clients
- Experience managing dependencies on other teams within a larger organization
- Technical knowledge required to command the respect of high-octane engineering team
- Strong advocate for Agile development processes
- Ability to deliver with highest quality under extreme pressure, while juggling multiple tasks and in complex environments
- Strong organizational skills
- Be comfortable with leading change
- Intellectually rigorous and creative problem-solving ability
- Required technology exposure & experience
- SaaS delivery based on microservices architecture
- Container technologies like docker, Kubernetes etc.
- Cloud integration and deployment on AWS, Google or Azure
- Proficiency in one or more programming languages such as Python, Java, Go, C++, C#
- Theoretical exposure to Machine Learning & Deep Learning based approaches. Hands-on exposure is nice to have.

**We build breakthroughs together**

**We win with inclusion**

SAP’s culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone - regardless of background - feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better and more equitable wo