514 AI Strategy jobs in Singapore

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.

Department Product Management

LevelExperienced (Individual Contributor)

LocationSingapore

The Product Management team at Shopee is the key focal point between the business, engineering and design teams. The team is responsible for implementing strategy, road maps and features, while adhering to business goals. It covers all functions including but not limited to Financial Services, Supply Chain, Search, Recommendation, Advertising, Order, Promotion, User, Anti-Fraud, Seller Service. Join us to own a product that is impacting millions of lives in Southeast Asia and Taiwan.

About the Team:

The Singapore Business Product Management team (SG BPM) at Shopee empowers sellers and buyers from all over the world to sell and buy in the Singapore market. The SG product team is part of the SG team scope and is committed to providing Singapore buyers with the best e-commerce experience in the most cost-effective way. Positioned at the crossroads of Business, Operations, and Product, the team strives to improve the end-to-end user experience by creating innovative services that exceed user expectations.

Job Description:

• Identify & Define Problems: Partner with BD, Marketing, Operations, and Supply Chain teams to surface pain points, clarify business challenges, and frame them into well-defined AI problem statements
• Prototype & Build AI Solutions: Design and develop lightweight AI tools, automation workflows, or proof-of-concept models that improve productivity, reduce manual effort, and enhance operational efficiency
• Expand AI Capabilities: Apply basic coding skills (e.g., Python scripts) to extend AI tool functionalities and enable practical business applications
• Data Analysis & Insights: Analyse user behaviour and operational data to detect patterns, inform decision-making, and optimise areas such as recommendations, personalisation, or process automation
• Translate Goals into Impact: Convert business objectives into AI-driven solutions, ensuring measurable outcomes that align with functional KPIs and organisational priorities
• Reporting & Tracking: Support the development of dashboards and reporting pipelines to monitor AI adoption, project progress, and business impact
• AI Capability Enablement: Contribute to company-wide AI programs through workshops, training sessions, and knowledge-sharing to increase AI literacy and adoption across teams.
• Continuous Innovation: Stay up to date with the latest trends in AI, automation, and recommender systems; proactively experiment with new methods and evaluate their business potential

Requirements:

• Bachelor's degree or above in Computer Science, Data Science, or related technical fields
• Basic coding ability is required; proficiency in Python is a strong plus
• Strong logical thinking, data analysis, and problem-solving skills; comfortable working with ambiguous issues and structuring them into actionable solutions
• Excellent interpersonal skills, with the ability to work cross-functionally and communicate complex ideas in a clear and practical way
• Eager to learn, experiment with new AI technologies, and contribute to building scalable solutions that create measurable business impact
• Prior relevant internship/ working experience in data science, machine learning engineering, or AI product-related roles are preferred

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.
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Our Purpose
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential.
Title and Summary
Director, AI Strategy & Solutions Delivery
Overview
As Director, AI Strategy and Solutions Delivery, on the AI Foundations team, you will drive foundational enterprise-scale AI strategy and execution. You’ll define roadmap, architect solutions, and lead cross-functional delivery to unlock and communicate measurable efficiency and innovation. Sitting at the intersection of product leadership, technical program management, and solutions architecture, you’ll deliver agentic and AI solutions from strategy and portfolio shaping to solution delivery and operating model design. You will work hands-on with data scientists, ML and platform engineers, and senior business leaders to deliver high-impact use cases. This role is designed for a leader who can move from whiteboard to working solution to scaled adoption, while keeping value capture, safety, and sustainability front and centre.
This role plays a critical part in communicating impact and aligning delivery capabilities with business needs, prioritising scalable technical solutions across various domains by engaging business users, grasping the domain context, and matching capabilities to specific problem statements.
Your role
Developing AI-driven strategies to support business value
Identify, qualify, and prioritize high-impact AI opportunities across business domains.
Quantify full value at stake and value levers (efficiency, augmentation, revenue lift, risk mitigation), with clear dependencies and path to realization.
Bring together expertise in AI, data engineering, solution architecture, and relevant business domains to design fit-for-purpose solutions leveraging LLMs, RAG, and agentic systems.
Translate ambitious north star visions into executable plans, building alignment among relevant executives and business stakeholders on timing and delivery.
Achieve maximum scale from AI solutions by proactively identifying and addressing barriers to scale and generalizing solutions to multiple applications.
Enabling rapid and iterative delivery of AI solutions with consistent value creation
Serve as solutions architect and product owner for critical initiatives—defining scope, non-functional requirements, SLAs/SLOs, and acceptance criteria.
Partner with AI and ML engineering leaders to manage versioning, iteration planning, and solution delivery, creating transparency for business stakeholders and proactively mitigating delivery issues.
Build productive relationships with key business stakeholders to help them co-own the AI solutions, enabling the business to provide feedback and guidance at all stages of development.
Bring business expertise and focus on value capture to AI problem-solving during development, helping the team to maximize impact and minimize unnecessary complexity.
Augment our business stakeholders’ teams with AI and change management expertise, helping them to realize maximum value from AI solutions.
Collaborate with cross-functional teams (Data & AI Ops, Privacy, AI Governance, Info Security, Architecture & Technology, BizOps etc) to design development patterns fit for productionizing and scale.
Advancing our innovative operating model for AI teams
Lead interactions with AI and ML engineering teams to develop and codify more effective ways for AI and strategy teams to collaborate.
Monitor industry trends and emerging technologies to ensure the organization remains at the forefront of AI and automation advancements.
Oversee the needs for documenting knowledge, creating templates, and authoring playbooks to help the team scale.
Develop and maintain three synchronized roadmaps: stakeholder engagement & adoption, use case portfolio, and technical capabilities/platform evolution.
Conduct peer training and author thought leadership along with other members of the team to augment the full team’s skills.
Develop new delivery frameworks and help the team build new service offerings.
All about you
8–12+ years hands-on leadership of technology strategies, leveraging data and ML/AI to solve complex business problems and drive measurable impact in large, regulated environments.
Proven track record influencing and aligning executives and cross-functional teams to deliver outcomes at scale.
Strong communicator—executive presence, crisp storytelling, and the ability to translate complex technical concepts into actionable business strategy.
Prior experience in strategy, planning, or product roadmap management is crucial, as this role involves shaping strategic direction, rolling out capability roadmaps, and managing internal communications.
Highly competent problem solving and solutioning skills; able to demonstrate business need as well as technical solution discovery and design
Proven experience in productionizing AI capabilities based on large datasets, and modern AI patterns (LLMs, RAG, vector databases, embeddings, prompt/response optimization, agents & tools).
Practical understanding of evaluation and safety for AI/ML solutions (offline/online testing, adversarial testing, guardrails, telemetry, policy enforcement).
The following skills are preferred
Knowledge of cloud computing (Databricks, AWS) and architecture, big data management, and ML platform tools is a plus
Experience in the financial institutions or payments industry
Familiarity with agile methodologies
People management experience
Corporate Security Responsibility
All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must:
Abide by Mastercard’s security policies and practices;
Ensure the confidentiality and integrity of the information being accessed;
Report any suspected information security violation or breach, and
Complete all periodic mandatory security trainings in accordance with Mastercard’s guidelines.
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To lead the next phase of our AI evolution, we’ve launched a new business unit AIDA – Artificial Intelligence & Data Analytics – a strategic engine driving our transformation designed to scale our AI ambitions with precision and purpose. This marks a pivotal shift in how we operate, innovate, and serve to embed intelligence into every layer of our business.
At Singtel, this is more than a technology upgrade. It’s a strategic transformation that redefines how value is created across the enterprise core— augmenting human capabilities and unlocking entirely new potential. It is a transformation journey by aligning people, platforms, and processes under one cohesive strategy. Our mission is to build AI literacy, and foster a culture where intelligence empowers people.
We welcome you to join us on a transformational journey that’s reshaping the telecommunications industry — and redefining what’s possible with AI at its core. Grow with us in a workplace that champions innovation, embraces agility, and puts human potential at the heart of everything we do.
The Talent Acquisition Consultant, AI Strategy will play a critical role in shaping the future of AI talent for an AI-first telecommunications organization. This position is responsible for designing and executing a forward-looking AI talent strategy that integrates both local and global sourcing priorities. The consultant will lead strategic initiatives to build sustainable AI talent pipelines, proactively map critical roles, and anticipate emerging capabilities that align with the organization’s digital transformation and innovation agenda.
Key Responsibilities
Design and implement
targeted sourcing strategies
for AI talent, supporting the
build, buy, borrow, and bridge models.
Forge partnerships with universities, research institutes, and AI communities regionally and globally to create sustainable talent pipelines.
Collaborate with People & Culture as well as business leaders to identify high-impact sourcing channels, including cross-border mobility
,remote delivery model
, workforce planning , and
diversity hiring initiatives.
Partner with business stakeholders to understand technical hiring needs, team goals, and role requirements focused on technical skill set sourcing.
Manage the
full recruitment cycle
from job posting, sourcing, screening, interviewing, offer management, to onboarding support.
Promote the company’s
Employer Value Proposition (EVP)
and tech culture to attract top talent
Develop and refine AI job roles and career pathways using established frameworks and internal capability models.
Align AI roles with business priorities in telecommunications, such as network intelligence, IT operations, customer experience automation, and emerging tech domains .
Maintain a dynamic role inventory that reflects current and future AI capabilities, including feeder roles from data, engineering, and product functions
.
Monitor industry trends, internal transformation programs, and technology roadmaps to forecast new AI roles relevant to telco-tech.
Partner with AI business leaders to define and validate emerging AI roles.
4. Strategic Workforce Planning & Roadmap Alignment
Contribute to the design and execution of the AI workforce roadmap , ensuring alignment with organizational goals, transformation timelines, and regional talent strategies.
Support strategic workforce planning initiatives.
5. Governance, Ethics & Role Design
Ensure AI roles and sourcing strategies comply with governance and ethical standards outlined in the AI workforce plan.
Partner with relevant teams to define boundaries of human vs. AI accountability in job design, particularly in regulated environments like telecommunications.
Qualifications & Experience:
Bachelor’s degree in Human Resources, Business, Technology, or related field, and IHRP certified.
Minimum 8 years in talent strategy, workforce planning, or consulting , with at least 2 years focused on AI or emerging tech domains in the telco or tech industry.
Knowledge & Skills:
Good understanding of AI technologies, roles, and skills frameworks relevant to telecommunications and digital platforms.
Expertise in strategic regional/global sourcing models .
Strong analytical, planning, and stakeholder engagement capabilities.
Ability to translate business strategy into actionable workforce plans .
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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.
#J-18808-Ljbffr