Senior Manager

Overview Direct message the job poster from National University of Singapore NUS Information Technology is the cornerstone to providing reliable, high-performance and secure IT solutions and effective IT governance for the campus. Here at NUS IT, we aim to transform NUS into a borderless computing community providing knowledge at its fingertips by enhancing the use of effective applications and services for teaching and learning. We drive a culture that is forward-looking. With a strong passion for IT, our people are always striving to improve, push boundaries and innovate with a "can-do" attitude. We embrace collaboration, open communication and knowledge sharing. If you see yourself thriving in a dynamic environment and breaking new grounds with innovative ideas, you will find yourself at home in NUS IT. As part of our team, you can look forward an empowered work environment that allows you to take charge of your own career path. We provide competitive remuneration as well as flexible work arrangements to enable your growth and development. We pride ourselves on our diverse workforce and are committed to transforming NUS into a leading global University shaping the future. Job Description The Data Product Team in NUS IT serves as the focal point between the business and technical teams. The team oversees, drives, and manages the development of data products such as data lakehouse, operational data store, MDM hub, data marketplace, and their underlying technologies, with plans for additional future data products. As a Data Product Manager, you will be responsible for building partnerships and working closely with stakeholders to define the data product strategy and roadmap, ensuring the right prioritization and delivery of product features that meet business needs. You will also be responsible for managing the development of data products throughout their lifecycle, including contract management with third-party vendors. Duties and Responsibilities Drive strong partnership with stakeholders to shape the data product strategy, roadmaps, requirements, and solutions. Drive the data product lifecycle from ideation to discontinuation, ensuring high standards of quality and performance through rigorous testing and validation. Responsible for business analysis and project management, including requirement analysis, participation in solution design, planning, testing, and implementation. Responsible for data requirements (including necessary aggregations), data taxonomy, reference data standards, and data product features for the end users. Collaborate with data technical teams to ensure the successful delivery of high-quality data platforms and technologies that meet business needs. Collaborate with the data governance team to develop and implement strategies that enhance data quality, protection, transparency, and accessibility. Manage procurement, including framework agreements. This involves preparing and publishing tender specifications, evaluating, and recommending potential solutions and vendors, and overseeing contract management. Manage vendors to ensure the successful delivery of products and/or services in accordance with the contract. Qualifications Degree in Information Technology, Business Analytics or equivalent. Certified in PMP, CITPM or equivalent. At least 12 years within IT industry, inclusive of 5 years' experience in product management using agile framework. Proven experience in managing data product lifecycle, preferably data lakes, data warehouses, and/or data marketplace. Proven experience in managing business analysis, data requirements, and data product features for end users. Proven experience in collaborating with business teams to establish data taxonomy, data dictionaries, and standards. Proven experience in partnering with senior stakeholders and data scientist teams to build data products. Strong knowledge in data and analytics technologies, methodologies, and best practices. Strong technical background to coordinate with technical teams to solve complex requirements and issues. Strong business process and analytical skills with the ability to assimilate information thoroughly and quickly and communicate complex requirements and issues clearly and concisely. Excellent oral, written, and interpersonal communication skills with the ability to interact and communicate effectively with internal and external stakeholders from all levels. Must be a self-starter, proactive, creative, fast learner and able to work independently with minimum supervision. Must be a good team player, meticulous, highly organized and positive attitude. Seniority level Mid-Senior level Employment type Full-time Job function Information Technology and Consulting Industries Higher Education, IT Services and IT Consulting, and Business Consulting and Services Referrals increase your chances of interviewing at National University of Singapore by 2x Data Analyst - Marketing Analytics, Regional Brand & Growth Marketing Data Analyst (Senior Associate) - Marketing Analytics, Regional Brand & Growth Marketing Data & Business Analyst – Regional Strategy, Operations & Logistics Healthcare & Life Sciences Consulting (Digital, Data and AI), Manager GenAI Data Engineer/Scientist (Financial Services), Manager/Senior Consultant, Technology Consulting Data Governance Manager, AI Systems - CPO Office Senior Data Business Product Manager - Regional BI & Planning We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr