648 AI Manager jobs in Singapore

• 8+ years of experience in strategy, research, consulting, or innovation roles within the FSI sector.
• Deep understanding of Generative AI, enterprise AI adoption, and regulatory considerations in financial services.
• Proven experience working with C-level and senior stakeholders to drive strategic initiatives.
• Strong analytical and business acumen; able to quantify impact and articulate value clearly.

• Excellent communication, presentation, and change management skills.

• Experience in setting up or working within an AI or digital innovation center of excellence.

• Familiarity with AI governance, risk, and compliance frameworks in FSI.

Role Summary:

We are looking for a senior professional to join our AI Center of Excellence and play a key role in shaping and scaling AI strategy across the enterprise.

This role focuses on external research, AI adoption, stakeholder alignment, and measuring business impact—specifically within the context of the Financial Services Industry (FSI).

Key Responsibilities:

• Lead external research on AI trends, peer activity, and competitive landscape in the FSI space.

• Shape and refine enterprise-wide AI strategy, with a focus on Generative AI use cases relevant to financial services.

• Drive adoption of AI technologies across business lines by engaging senior stakeholders and business leaders.

• Define and track KPIs to measure ROI and effectiveness of internal AI initiatives.

• Create executive reports and recommendations for C-suite decision-making.

• Serve as a bridge between business units, data science teams, and tech leads to ensure alignment and successful delivery.

About the Team:

The President's Office supports the Group President in driving enterprise-wide productivity and long-term value creation. The team leads cross-functional efforts focused on operational efficiency and AI transformation, working closely with Regional and Local teams to identify strategic improvement levers, align initiatives across business units, and accelerate scalable impact.

Job Description:

• Lead execution of AI productivity initiatives in partnership with market/domain AI champions
• Gain exposure to complex, cross-functional challenges, translating them into AI-driven solutions
• Automate AI performance reporting pipelines, with dashboards and insights tailored for leadership teams (e.g. Country Heads, HODs)
• Coordinate monthly sync-ups across markets, surface best practices and unblock cross-team execution
• Co-drive AI capability enablement programs, including management workshops, champion training, and staff education in collaboration with L&D teams
• Define AI adoption roadmaps, shape tooling strategy, and scale best practices

Requirements:

• At least 3 years of experience in PMO / Strategy Ops / Program Management roles.
• Preferred background from Marketing, Project and Product Operation.
• Familiarity with LLMs, prompt engineering, or AI agent frameworks is a strong plus.
• Understands how LLM agents work and can self-learn quickly.
• Proven record in managing cross-functional projects, ideally across regions.
• Comfortable working directly with C-level materials: dashboards, AI success stories, OKRs.
• Excellent communication and follow-through skills. Self-starter, low ego, and results-oriented.
• Preferred experience in AI product rollouts or automation projects.
• Preferred experience that participated in hackathons, open source, or built internal tools.

We are seeking a senior professional to spearhead our Artificial Intelligence strategy, focusing on external research, adoption, and measuring impact.

• Conduct thorough research on AI trends and competitive landscape within the financial services industry.
• Develop an enterprise-wide AI strategy for Generative AI use cases, driving innovation across business lines.
• Engage with stakeholders to drive AI adoption, fostering collaboration and cross-functional understanding.
• Define and track key performance indicators (KPIs) for return on investment (ROI) and effectiveness, providing actionable insights.
• Create executive reports and recommendations, supporting informed decision-making.
• Serve as a strategic bridge between business units and data science teams, facilitating effective communication and collaboration.

• At least 8 years of experience in strategy, research, or innovation roles within the financial services industry.
• Deep understanding of Generative AI, enterprise AI adoption, and regulatory considerations in financial services.
• Proven experience working with C-level stakeholders, demonstrating exceptional leadership and interpersonal skills.
• Strong analytical and business acumen, with excellent problem-solving abilities.
• Superb communication and change management skills, enabling effective stakeholder engagement and seamless project execution.

We are looking for a senior professional to join our AI Center of Excellence and play a key role in shaping and scaling AI strategy across the enterprise. This role focuses on external research, AI adoption, stakeholder alignment, and measuring business impact—specifically within the context of the Financial Services Industry (FSI).

Key Responsibilities:

• Lead external research on AI trends, peer activity, and competitive landscape in the FSI space.
• Shape and refine enterprise-wide AI strategy, with a focus on Generative AI use cases relevant to financial services.
• Drive the adoption of AI technologies across business lines by engaging senior stakeholders and business leaders.
• Define and track KPIs to measure ROI and the effectiveness of internal AI initiatives.
• Create executive reports and recommendations for C-suite decision-making.
• Serve as a bridge between business units, data science teams, and tech leads to ensure alignment and successful delivery.

Requirement:

• 8+ years of experience in strategy, research, consulting, or innovation roles within the FSI sector.
• Deep understanding of Generative AI, enterprise AI adoption, and regulatory considerations in financial services.
• Proven experience working with C-level and senior stakeholders to drive strategic initiatives.
• Strong analytical and business acumen; able to quantify impact and articulate value clearly.
• Excellent communication, presentation, and change management skills.
• Experience in setting up or working within an AI or digital innovation center of excellence is a plus.
• Familiarity with AI governance, risk, and compliance frameworks in FSI is a plus.

Data Scientist (Gen AI), Manager, Data & AI, Technology Consulting
Join to apply for the
Data Scientist (Gen AI), Manager, Data & AI, Technology Consulting
role at
EY .
Overview
At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors. We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region. We are looking for a Data Scientist within the DnA team in our Singapore office. This role is offered on a flexible full time basis.
Your Key Responsibilities
Develop, refine, and implement advanced predictive models to generate insights from complex structured and unstructured data sets.
Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.
Lead the integration of LLMs and LangChain into business processes.
Understand the business requirements and design the data science solution in a way that marks the improvement in business processes using AI.
Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
Collaborate with stakeholders at all levels, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
Skills And Attributes For Success
Experience in ETL, Data Engineering, Scripting.
Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
Exceptional communication, documentation and presentation skills and stakeholder management experiences
Experience in business intelligence, data warehousing/platform, and data strategy projects
To qualify for the role, you must have
Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
Proven experience as a Data Scientist, preferably at a manager level.
Demonstrable experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
Proficiency in Python and other applicable programming languages.
Strong knowledge of machine learning, data mining, and predictive modeling.
Excellent understanding of machine learning algorithms, processes, tools, and platforms.
Possess strong problem-solving and strategic thinking abilities.
What We Look For
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What We Offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The Exceptional EY Experience. It’s Yours To Build.
Apply now.
Seniority level
Mid-Senior level
Employment type
Full-time
Job function
Engineering and Information Technology
Industries
Professional Services
Referrals increase your chances of interviewing at EY by 2x
Get notified about new Data Scientist jobs in
Singapore, Singapore .
#J-18808-Ljbffr

The opportunity
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are looking for a Data Scientist within the DnA team in our Singapore office. This role is offered on a flexible full time basis.
Your key responsibilities
Develop, refine, and implement advanced predictive models to generate insights from complex structured and unstructured data sets.
Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.
Lead the integration of LLMs and LangChain into business processes.
Understand the business requirements and design the data science solution in a way that marks the improvement in business processes using AI.
Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
Collaborate with stakeholders at all levels, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
Skills and attributes for success
Experience in ETL, Data Engineering, Scripting.
Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
Exceptional communication, documentation and presentation skills and stakeholder management experiences
Experience in business intelligence, data warehousing/platform, and data strategy projects
To qualify for the role, you must have
Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
Proven experience as a Data Scientist, preferably at a manager level.
Demonstrable experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
Proficiency in Python and other applicable programming languages.
Strong knowledge of machine learning, data mining, and predictive modeling.
Excellent understanding of machine learning algorithms, processes, tools, and platforms.
Possess strong problem-solving and strategic thinking abilities.
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What we offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Continuous learning:
You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you:
We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership:
We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture:
You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
#J-18808-Ljbffr

At EY, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help EY become even better, too. Join us and build an exceptional experience for yourself, and a better working world for all.
The opportunity
EY DnA is the data and advanced analytics capability within EY Asia-Pacific, with over 500 specialist employees working across multiple industry sectors.
We implement information-driven strategies, data platforms and advanced data analytics solution systems that help grow, optimize and protect client organizations. We go beyond strategy and provide end to end design, build and implementation of real life data environments and have some of the best architects, project managers, business analysts, data scientists, big data engineers, developers and consultants in the region.
We are looking for a Data Scientist within the DnA team in our Singapore office. This role is offered on a flexible full time basis.
Your key responsibilities
Develop, refine, and implement advanced predictive models to generate insights from complex structured and unstructured data sets.
Define success metrics and deliverable timelines, ensuring projects are delivered on time and meet strategic objectives.
Lead the integration of LLMs and LangChain into business processes.
Understand the business requirements and design the data science solution in a way that marks the improvement in business processes using AI.
Utilize Python and other data manipulation languages proficiently to prepare and manipulate data.
Collaborate with stakeholders at all levels, presenting findings to a non-technical audience and providing strategic recommendations.
Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies.
Skills and attributes for success
Experience in ETL, Data Engineering, Scripting.
Knowledge and experience in end-to-end project delivery, either traditional SDLC or agile delivery methodologies (or hybrid approaches)
Experience in a delivery role on Business Intelligence, Data Warehousing, Big Data or analytics projects
Exceptional communication, documentation and presentation skills and stakeholder management experiences
Experience in business intelligence, data warehousing/platform, and data strategy projects
To qualify for the role, you must have
Min Bachelor’s degree in Computer science, Mathematics, Engineering, Statistics, or a related field.
Proven experience as a Data Scientist, preferably at a manager level.
Demonstrable experience with Generative AI, specifically with Large Language Models (LLM) and Langchain.
Proficiency in Python and other applicable programming languages.
Strong knowledge of machine learning, data mining, and predictive modeling.
Excellent understanding of machine learning algorithms, processes, tools, and platforms.
Possess strong problem-solving and strategic thinking abilities.
What we look for
Highly motivated individuals with excellent problem-solving skills and the ability to prioritize shifting workloads in a rapidly changing industry.
An effective communicator, you’ll be a confident leader equipped with strong people management skills and a genuine passion to make things happen in a dynamic organization.
What we offer
EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Plus, we offer:
Continuous learning: You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you: We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership: We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture: You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
Apply now.
#J-18808-Ljbffr

About Glean
Founded in 2019, Glean is an innovative AI-powered knowledge management platform designed to help organizations quickly find, organize, and share information across their teams. By integrating seamlessly with tools like Google Drive, Slack, and Microsoft Teams, Glean ensures employees can access the right knowledge at the right time, boosting productivity and collaboration. The company's cutting-edge AI technology simplifies knowledge discovery, making it faster and more efficient for teams to leverage their collective intelligence.

Glean was born from Founder & CEO Arvind Jain's deep understanding of the challenges employees face in finding and understanding information at work. Seeing firsthand how fragmented knowledge and sprawling SaaS tools made it difficult to stay productive, he set out to build a better way - an AI-powered enterprise search platform that helps people quickly and intuitively access the information they need. Since then, Glean has evolved into the leading Work AI platform, combining enterprise-grade search, an AI assistant, and powerful application- and agent-building capabilities to fundamentally redefine how employees work.

About The Role
Glean is seeking a talented AI Outcomes Manager to join our rapidly expanding team. The AI Outcomes Manager will play a crucial role in transforming how every department works, with the power of Glean. They will work closely with executives and end users, combining business acumen, product sense, and prompting skills to help them transform into an AI-native enterprise.

You Will

• Engage with executive sponsors and provide strategic reviews and consult customers on developing and executing on their AI roadmap
• Deeply comprehend Glean's suite of products, ensuring the ability to best help customers get the most out of the Glean platform
• Conduct use case discovery workshops and turn those use cases into tangible outcomes
• Collaborate internally with Product and R&D to help shape Glean's product roadmap based on the voice of our users
• Proactively identify opportunities to expand Glean's deployment and enhance customer engagement

About You

• 2+ years of professional experience
• Hungry, curious, and consultative mindset
• Strong problem-solving skills with the ability to adapt to different users and scenarios
• Proven understanding and ability to write complex prompts
• Ability to understand various user types and convey a sense of the most valuable applications of AI in diverse job functions
• Excellent communication skills to effectively interact with multiple stakeholder groups
• Product sense and ability to drive a product's full potential capabilities

Good To Have

• Customer presence: ability to work with any level from individual contributors to CEOs
• Prior experience in consultative roles, solutions engineering, support, or product management

Location:

• This role is remote

As a key member of the AI Services Division , the AI Infrastructure Project Manager will oversee the design and deployment of AI infrastructure projects.

This role is responsible for managing cross-functional teams and collaborating with external partners to ensure project delivery within defined cost, schedule, and quality parameters .

The ideal candidate will possess deep technical understanding of AI computing platforms—particularly the NVIDIA GPU ecosystem —combined with strong project management expertise.

• Lead the pre-sales solution design process for AI servers and related hardware systems.
• Oversee Proof of Concept (POC) testing, performance optimization, and solution validation to ensure alignment with customers' business and technical objectives.

Manage end-to-end AI infrastructure deployment projects, ensuring seamless execution through:

• Leading teams to perform design reviews and site surveys .
• Overseeing point-to-point cabling plan development and validation.
• Developing comprehensive project plans , including timelines, resource allocation, and risk mitigation strategies.
• Conducting project kick-off meetings and coordinating with stakeholders across multiple levels.
• Managing project budgets, schedules, risks, and issues to ensure successful delivery.
• Driving clear communication across all project tiers—internal teams, customers, and partners.
• Ensuring timely and quality project deliverables that meet agreed specifications.

• Diagnose and resolve technical issues within AI infrastructure environments.
• Implement corrective actions through hardware replacement , software upgrades , or appropriate workarounds .
• Escalate issues to vendors or partners when advanced support is required.

• Bachelor's degree or higher in Computer Science, Electronics, Communications, Information Engineering , or a related discipline.
• Minimum 5 years of experience in IT systems integration or infrastructure project management .
• Strong familiarity with server hardware architectures (CPU/GPU, memory, storage, and networking).
• In-depth understanding of computing platforms such as NVIDIA, Intel, and AMD .
• Hands-on experience managing or contributing to large-scale NVIDIA AI infrastructure deployments , including any of B200, GB200, or GB300 .
• Excellent leadership, problem-solving, and stakeholder management skills.
• Strong teamwork orientation, adaptability, and customer-focused mindset.
• Proficiency in English, with the ability to read technical documents and conduct professional communications.
• Project management certification such as PMP , PRINCE2 , or an equivalent is required.