Senior Product Manager

[What the role is]

The Monetary Authority of Singapore (MAS) is Singapore’s central bank and integrated financial regulator.

As central bank, MAS promotes sustained, non-inflationary economic growth through the conduct of monetary policy and close macroeconomic surveillance and analysis. It manages Singapore’s exchange rate, official foreign reserves, and liquidity in the banking sector.

As an integrated financial supervisor, MAS fosters a sound financial services sector through its prudential oversight of all financial institutions in Singapore - banks, insurers, capital market intermediaries, financial advisors, and stock exchanges. It is also responsible for well-functioning financial markets, sound conduct, and investor education.

MAS also works with the financial industry to promote Singapore as a dynamic international financial centre. It facilitates the development of infrastructure, adoption of technology, and upgrading of skills in the financial industry.

Join us now, if you have a genuine interest in making an impact to help shape Singapore’s economic and financial landscape.

**[What you will be working on]**

MAS’ Data Analytics & Engineering Division (DAE) is a specialised team within the Data Technology and Architecture (DTA) Department within the Technology Group (TG) in MAS.

DAE’s primary purpose is to partner internal MAS functions to generate business value through the enablement of effective and efficient use of data driven insights for business value creation. This is achieved through effective strategies, strong in-house development capability, standardization of processes, tooling enablement, establishing a product development mindset, promoting knowledge sharing within MAS and complementary external collaborations.

As a DAE Product Manager, you will be working in a fast-paced environment that would require the ability to manage multiple priorities and needs of stakeholders, as well as the agility to respond to changes and developments. Specifically, you are expected to:
**Be a technically skilled leader grounded on best practices**
- Be accountable for and drive product management related initiatives for assigned projects
- Execute effective go-to-market (GTM) and change management strategies necessary to promote the usage of new data science products and EDSP services
- Participate in annual budgeting exercises, ensure high budget marksmanship on assigned projects, and provide regular updates on year-to-date budget forecasts
- In collaboration with Project Management Office (PMO) in TG, contribute towards product management best practices, methodologies, and standards in MAS

**Be an effective communicator and collaborative partner**
- Collaborate effectively with DAE’s Production Engineering (PE) and Data Science (DS) teams to deliver enterprise data science platforms (EDSPs) and enterprise grade data science products
- Interface with assigned MAS business groups, and support them in identifying opportunities to deliver additional business value through data science products
- Work with MAS Academy to deliver both targeted product management training and broad-based awareness programs to all MAS staff
- Promote the growth of the Data Analytics Community of Practitioners (DACoP) through organisation of workshops, training sessions, and forums to foster greater awareness of analytics within MAS

**Be a supportive team player**
- Support any TG and DTA initiatives as required.
- Strengthen DAE’s positive and open working norms

**[What we are looking for]**
- Minimum bachelor’s degree in any management, information technology or engineering field
- 3 to 10 years of experience leading both vendor led and in-house development projects, preferably within public service and/or financial services industry
- Professional qualifications in project management, such as PMP, CSM or PSM
- Able to develop appropriate project plans using best fit methodologies, and lead assigned projects(s) end to end independently with mínimal supervision
- Able to serve as a mentor towards junior and less experienced product managers
- Excellent problem-solving skills, which includes the ability to distill large complex problems involving cross functional teams and other stakeholders into smaller, actionable steps
- Good knowledge of product go-to-market activities, especially in areas such as product positioning and product launch
- Familiarity with basic data analytics core techniques and concepts
- Comfortable working on multifaceted problems in an agile environment. Demonstrate ability in overcoming business and technical constraints and deliver value adding data science products
- Strong presentation and communication skills. Ability to explain technical concepts to a non-technical / business / senior management audience is a must

As part of the shortlisting process for this role, you may be required to complete a medical declaration and/or undergo further assessment.

All applicants