214 Data Driven Decisions jobs in Singapore

• Guide business domains (e.g. HR, NS, Corporate & Finance) in mapping out domain-level data strategies
• Promote the use of data as an integral part of business
• Provide enablers and remove impediments for domains in advancing data use
• Partner with Data Scientists and relevant specialists (e.g. design thinkers) to provide consultancy to domains
• Track and report the success of the overall data strategy to senior management and Whole-of-Government (WoG)
  
  
  

• Understanding diverse business needs across various domains
• Engaging multiple stakeholders to emphasise the importance of data quality and sharing within the organisation
• Matchmaking data science possibilities with business requirements
  
  
  

• Education in Computer Science, Business Analytics, Information Technology or a related field
• At least 2 years of relevant work experience
• Prior experience in policy/plans work, stakeholder engagement, and business analytics is advantageous
• Ability to multi-task
• Self-starter mentality
• Strong written and verbal communication skills
  
  
  

As a key player in our data-driven organization, you will spearhead the development of actionable data science use cases that drive business growth and efficiency.

• You will partner with cross-functional leaders to define and communicate KPIs for each channel, ensuring alignment across distribution, marketing, and product teams.
• Your expertise in building and deploying models to optimize acquisition, retention, and channel efficiency will be crucial in driving business results.
• You will analyze partner/channel performance and recommend reallocations of resources to maximize impact.
• You will design and deploy dashboards for real-time monitoring of distribution performance, providing insights to inform strategic decisions.

• Bachelor's degree in Engineering, Information Technology, Computer Science, or related field.
• 4-6 years of experience in life insurance or financial services analytics, with a strong understanding of distribution models.
• Proven ability to lead strategic analytics engagements with cross-functional leaders and communicate complex data science concepts to non-technical partners.
• Data Science Acumen: Proficiency in statistical methods, including regression analysis, hypothesis testing, and time series analysis. Experience with uplift modelling and lifetime value modelling.
• Technical Familiarity (Good to Have): Familiarity with Databricks, Google Vertex AI, and BigQuery is considered beneficial.

We are seeking a highly skilled Enterprise Data Strategist to drive data-driven insights and inform business decisions.

• Collaborate with cross-functional teams to identify opportunities for growth and scaling.
• Design experiments, perform statistical analysis, and develop machine learning models to address complex business challenges.
• Develop and implement data strategies to enhance BI reporting, business systems, and forecasting models.
• Analyze and visualize large datasets using advanced methods, providing actionable recommendations to stakeholders.

The ideal candidate will have:

• At least 2 years of experience in a data science or analytics role.
• Expertise in statistics, causal inference, and machine learning.
• Proficiency in programming languages such as Python and R, with experience working with SQL databases.
• Strong communication skills, with the ability to bridge technical and non-technical stakeholders.
• Experience crafting clear data stories and visualizations to drive decision-making.

• Lead the development and implementation of our data science strategy
• Provide technical mentorship to the data science team
• Serve as a strategic thought leader with cross-functional teams
• Apply technical expertise to develop product strategies

• 7+ years industry experience and an advanced degree (PhD or MS) in a quantitative field (e.g. Statistics, Engineering, Sciences, Computer Science, Economics)
• Experience communicating results of analyses to leadership teams and cross-functional teams
• Technical mentorship experience with machine learning and experimentation in an industry setting
• Expertise in data querying languages (e.g. SQL), scripting languages (e.g. Python), and/or statistical/mathematical software (e.g. R)

• A dynamic and collaborative work environment
• Ongoing opportunities for professional growth and development
• A competitive compensation package

Job Description

Big Data / Data Management Partner, also known as Business analytics or Business intelligence, is the use of sophisticated data mining and business analytics techniques to business data. The challenge is to identify and capture how to use the data to model and predict capabilities so the organization gets an optimal return on investment on its business resources, cost, and investments. To provide an organization with insights for effectively managing business performance so that business goals can be reached quickly and efficiently.

• Partnering with Senior Management/ Stakeholders from Business Group to provide deep expertise and advisory on data and analytics needs.
• Discover intrinsic natures of users from big data, and analyze user behavior as well as their customized needs to develop new data attributes of users from existing data source and develop novel applications including data-driven products based on that.
• Development, planning and implementation of Data strategies across the bank.
• Planning new initiatives based on data analysis and insight – allow the data to lead creative and steer programmes to constantly be optimized to exceed targets and KPIs.
• Business Lead on the Data Transformation Program to ensure business objectives and deliverables are aligned to business priorities on the Data Transformation Program to ensure end-to-end data coverage and identify potential cross-segment impact and/or potential capability reusable from another segment.
• Drive and lead new capabilities in the area of Big Data, Strategic Analytics and Advanced Self Service Business Intelligence across the Banking group.
• Develop data models/solutions to solve practical problems based on advanced statistical modeling, data mining, and machine learning methods.

Requirements

• Degree with at least 15 yrs. experience with MIS, Data Management, Analytics, etc.
• Retail Banking, Marketing and Product data and analytical knowledge highly desirable.
• Track record and in-depth knowledge of Business Intelligence and Big Data platforms.

To Apply:

Interested candidates may send their CV to Wai Leong at (Reg. no. R1103945 ) quoting the job title in the Subject line. We regret that only shortlisted candidates will be notified.

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Department: Data Estate Operating Unit

Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.

At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.

We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.

Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.

Role/Responsibilities

The Role As Associate Director of Data Sourcing Strategy, you will play a crucial role in executing and supporting the strategic initiatives for acquiring and managing data from a diverse network of information providers (IPs). You will work closely with Sourcing Strategists, Data Strategists, and other internal stakeholders to implement data acquisition plans, manage IP relationships, contribute to strategic projects, and support the overall data acquisition lifecycle. Your work will directly contribute to optimizing our data assets, ensuring business continuity, and enabling Moody’s to meet evolving market and client needs. This is an analytical and execution-focused role that also requires strong collaboration, project management, and relationship-building skills.

Key Responsibilities and Objectives

• Support the establishment and nurturing of relationships with Data Estate Information Providers (IPs).
• Explore partnership options and other collaboration opportunities with IPs.
• Negotiate data license agreements with new and existing IPs.
• Contribute to proactive risk management to ensure business continuity related to data supply.
• Monitor regional and global market trends related to data sourcing options and the evolving IP ecosystem.
• Gather and maintain knowledge on the landscape of IPs relevant to Moody’s business needs.
• Contribute to identifying the best sources for specific use cases, including supporting build vs. buy analyses.
• Manage IP onboarding processes, including due diligence and vendor management activities.

Qualifications

• 5-10 years’ experience with preference given to relationship management, partnership management or sales collaborations in the data industry.
• Bachelor's degree is required; a Master's degree or relevant professional certification is a plus.
• Excellent stakeholder management skills, with the ability to work across diverse teams and geographies.
• Analytical and problem-solving skills, with a commercially astute mindset.
• Experience in contract review and negotiation processes is highly desirable.
• Familiarity with diverse data types (e.g., company, financial, news, alternative data) and their application in business use cases.
• Understanding of market trends in data acquisition, partnerships, and AI-driven solutions.
• Strong organizational skills and project management capabilities, with meticulous attention to detail.
• Ability to manage multiple tasks and projects concurrently, adhering to tight deadlines.
• Proactive, with a strong sense of initiative and a "can-do" attitude.
• Ability to work both independently and as part of a global team.
• Good knowledge of English, proficiency in any Asian language is an asset
• Willingness to undertake occasional business travel as required.

Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law.

Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.

Join to apply for the Associate Director-Data Strategy role at Moody's Corporation

Join to apply for the Associate Director-Data Strategy role at Moody's Corporation

At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways.

If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.

Department: Data Estate Operating Unit

Welcome to the Data Estate business unit at Moody's Analytics, where we are pioneering the future of data management and analytics in Moody's Analytics. Our mission is to deliver precise, timely data with a commitment to innovation.

At Data Estate, we focus on enhancing Moody's digital presence and improving customer engagement through innovative data solutions. Our team is dedicated to enforcing and evolving our data quality framework, improving transparency into our data assets, and strategically growing new and existing information providers. We are committed to ensuring our data is ready for an expanding set of GenAI use cases and maintaining tight alignment with the teams we support.

We are building a resilient data platform that supports our strategic priorities and drives long-term, sustainable growth for the business.

Join us at Data Estate and be part of a dynamic team that is shaping the future of data management. We offer a collaborative environment where your contributions will have a meaningful impact on our clients and the industry. If you are passionate about data quality, governance, and innovation, we invite you to explore opportunities with us and help us deliver exceptional results.

Role/Responsibilities

The Role As Associate Director of Data Sourcing Strategy, you will play a crucial role in executing and supporting the strategic initiatives for acquiring and managing data from a diverse network of information providers (IPs). You will work closely with Sourcing Strategists, Data Strategists, and other internal stakeholders to implement data acquisition plans, manage IP relationships, contribute to strategic projects, and support the overall data acquisition lifecycle. Your work will directly contribute to optimizing our data assets, ensuring business continuity, and enabling Moody’s to meet evolving market and client needs. This is an analytical and execution-focused role that also requires strong collaboration, project management, and relationship-building skills.

Key Responsibilities And Objectives

• Support the establishment and nurturing of relationships with Data Estate Information Providers (IPs).
• Explore partnership options and other collaboration opportunities with IPs.
• Negotiate data license agreements with new and existing IPs.
• Contribute to proactive risk management to ensure business continuity related to data supply.
• Monitor regional and global market trends related to data sourcing options and the evolving IP ecosystem.
• Gather and maintain knowledge on the landscape of IPs relevant to Moody’s business needs.
• Contribute to identifying the best sources for specific use cases, including supporting build vs. buy analyses.
• Manage IP onboarding processes, including due diligence and vendor management activities.
  
  

• 5-10 years’ experience with preference given to relationship management, partnership management or sales collaborations in the business information industry .
• Bachelor's degree is required; a Master's degree or relevant professional certification is a plus.
• Excellent stakeholder management skills, with the ability to work across diverse teams and geographies.
• Analytical and problem-solving skills, with a commercially astute mindset.
• Experience in contract review and negotiation processes is highly desirable.
• Familiarity with diverse data types (e.g., company, financial, news, alternative data) and their application in business use cases.
• Understanding of market trends in data acquisition, partnerships, and AI-driven solutions.
• Strong organizational skills and project management capabilities, with meticulous attention to detail.
• Ability to manage multiple tasks and projects concurrently, adhering to tight deadlines.
• Proactive, with a strong sense of initiative and a "can-do" attitude.
• Ability to work both independently and as part of a global team.
• Good knowledge of English, proficiency in any Asian language is an asset
• Willingness to undertake occasional business travel as required.
  
  

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology

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