300 Data Analytics jobs in Singapore

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today’s most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni — and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte’s Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.

GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.

We are currently looking for a lead instructor for our full-time (12 week) Data Analytics Bootcamp.

Our Data Analytics Bootcamp is a life-changing educational experience where our students learn the skills and mindsets to take on new careers as data analysts. We are looking for a lead instructor with experience cleaning, analyzing, and presenting data to stakeholders and clients.

This role is based in Singapore and is delivered in a hybrid (on campus and online) format, requiring instructors to reside in Singapore and have an eligible work permit or be a Singapore citizen or permanent resident. (We are not currently sponsoring employees.)

If you are looking to make a life-changing impact by sharing your love for data analytics with the next generation of analysts, we’d love for you to consider joining our team. We deliver more than just skills training, and are looking for teachers who share our vision for facilitating and mentoring a community of lifelong learners pursuing work that they love. As a teacher, you will join us to:

• Work closely with the instructional team (co-lead instructors, instructional associates, instructor manager) to guide students through a rigorous, transformational journey.
• Become a better leader, coach, and mentor as you learn from students, experienced instructors, and the larger General Assembly community.
• Inspire and support students as they identify their passions and drive their own continued learning beyond the curriculum; motivate students when they deal with classroom and personal challenges that become barriers to learning.
• Adapt our global curriculum and use it to guide your teaching, building your own lesson plans as needed and contributing back your lessons learned over time.
• Facilitate a safe, supportive, and energetic community that welcomes the various abilities, needs and learning styles of your students.

Through a combination of live instruction, supported study with independent work, unit projects (individual and team-based) and 1:1 support, we teach our learners how to turn messy real-world datasets into actionable, data-driven insights they can communicate. We will be using Excel, SQL, Tableau, and PowerBI as the primary tools for analysis as well as provide learners with a foundation in Python programming to build predictive machine learning models.

The Data Analytics Bootcamp consists of nine units:

• Unit 1: Responsible data analytics
• Unit 2: Statistics and mathematics for data analysts
• Unit 3: Data analysis and interpretation with Excel and Power BI
• Unit 4: Data acquisition and cleaning with SQL
• Unit 5: Data analysis and communication with Tableau
• Unit 6: Data analysis with Python
• Unit 7: Data in the organization
• Unit 8: Capstone projects
• Unit 9: Career planning

Learning is assessed through four major projects (two independent projects, a team/group data sprint, and final course capstone) as well as nine labs. About 20% of the overall class time is dedicated to supporting learners’ project work.

• You are eager to shape the skills, minds, and trajectories of eager General Assembly students.
• You are the person that your colleagues naturally gravitate to when they are trying to figure something out.
• You have strong experience using the following tools: Excel, SQL, Tableau, Power BI and Python Programming.
• You have 4+ years of work experience in a role where you’ve been responsible for cleaning messy data, analyzing the data and presenting your data-based insights.
• You are proficient in data analysis using Python's pandas library, with a solid understanding of data manipulation, cleaning, and aggregation.
• You are familiar with machine learning concepts and practical experience with supervised and unsupervised learning techniques.
• You have experience with web scraping tools and techniques (e.g., BeautifulSoup)
• You have experience mentoring, coaching, or training others in a professional or educational setting.
• Priority will be given to applicants with the Advanced Certificate in Learning and Performance (ACLP) /Advanced Certificate in Training and Assessment (ACTA), awarded by the Institute of Adult Learning Singapore.
• This role is based in Singapore and you must be authorized to work in Singapore. Please ensure you have the right to work in Singapore before applying.

• Teach 40 hours per week; currently classes on Monday through Thursday are on campus, with Fridays remote; we observe all public holidays in Singapore.
• Commit a few hours per week preparing lessons and materials, leveraging existing GA curriculum content.
• Work closely with co-instructors and/or teaching assistants to provide students with meaningful and prompt feedback on their progress, including assessment rubrics.
• Work alongside GA staff and teaching team to best meet the needs and learning styles of your students.
• Guide students through development of a stellar capstone project that will showcase their abilities to hiring managers.
• Facilitate a dynamic, collaborative, and positive classroom community.
• Inspire students to persevere through the challenges of learning a new skill set, as well as dealing with learning barriers along the way.

Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.

United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.

Posting date: 01-22-2025

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

Join to apply for the Data Analytics Engineer role at Singapore University of Social Sciences (SUSS)

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Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

Who We Are

As Singapore's first institute for lifelong learning, the Singapore University of Social Sciences (SUSS) champions inclusivity to bring education to all and ensure that they are given equal opportunities to develop to their fullest potential in our diverse learning environment.

We advocate for the same for our people. We believe everyone should have equal opportunities and develop to their fullest potential in their careers.

Embark on an exciting lifelong journey with us in making a positive difference in your career and serving our society.

For more information on Singapore University of Social Sciences, please visit The Job

We are seeking a versatile and motivated individual to join our team as a Data Analytics Engineer (Entry Level). In this role, you will build and maintain scalable data pipelines, develop and deploy machine learning (ML) models, and support the university’s data-driven initiatives using tools such as Microsoft Fabric, Azure Machine Learning, and Power BI. In addition to data and ML development, you will also serve as an administrator of Microsoft Fabric, the university’s cloud analytics platform—ensuring efficient operations, governance, and user support. This position is ideal for individuals who enjoy working across the full data and ML lifecycle—from wrangling raw datasets to training models and supporting strategic decisions through analytics. You will be part of a collaborative, in-house data team addressing meaningful challenges in education and operations.

What You Will Be Doing

Key Responsibilities:

Data Engineering & Machine Learning Development

• Design, build, and maintain scalable data pipelines using Microsoft Fabric components (e.g., Data Pipelines, Dataflows) and PySpark.
• Ingest, clean, and transform data from diverse sources such as APIs, flat files, and databases.
• Operate within the Lakehouse architecture to ensure reliable, well-governed data delivery.
• Design, train, and evaluate models for classification, prediction, and segmentation use cases.
• Perform feature engineering, model tuning, and validation.
• Deploy models in collaboration with analytics specialists and contribute to building reusable ML feature stores.
• Ensure data quality, documentation, and lineage are maintained across workflows.
  
  

• Act as the primary administrator for Microsoft Fabric, overseeing workspace, capacity, and permission management.
• Monitor usage, performance, and cost metrics; troubleshoot and optimise resource allocation.
• Support onboarding of university teams to Microsoft Fabric and maintain security and compliance standards.
• Manage workspace hygiene, archival, and governance enforcement across all Fabric artefacts.
• Collaborate with the data warehouse team, analytics specialists, AI engineers, and domain users to deliver structured datasets and model outputs.
• Assist in building and refining Power BI datasets and dashboards for decision-making support.
  
  

• Possess a degree in Data Science, Business Analytics or related.
• Proficiency in SQL and Python, including libraries such as Pandas, Scikit-learn, and PySpark.
• Strong interest or hands-on experience in end-to-end ML development (from data prep to deployment).
• Familiarity with Microsoft Fabric components (e.g., Lakehouse, Data Pipelines, Dataflows).
• Exposure to Power BI or equivalent BI/visualisation tools.
• Microsoft Fabric certification (or willingness to obtain one).
• Exposure to Azure Machine Learning or similar ML model lifecycle platforms.
• Practical experience (via internships, coursework, or projects) in data engineering or ML model development.
• Understanding of higher education data or student analytics scenarios.
• Curious and self-driven with a growth mindset.
• Able to clearly explain technical concepts to both technical and non-technical audiences.
• Strong attention to detail and a methodical, structured approach to solving problems.
  
  

• Competitive Pay Package
• Hybrid Work Arrangement (Subject to Job Role)
• Medical Benefits
• Flex Benefits
• Family Care Leaves
• Volunteer Service Leaves
• Wellness & Recreation Activities
• Lifelong Learning Opportunities
• Career Development Opportunities through Internal Job Postings and Transfers

• Seniority level Entry level

• Employment type Full-time

• Job function Information Technology
• Industries Higher Education

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South East Community Development Council, Singapore 4 days ago

South East Community Development Council, Singapore 4 days ago

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Join to apply for the Data Analytics Engineer role at Internal Security Department

What The Role Is

ISD confronts and addresses threats to Singapore’s internal security and stability. For over 70 years, ISD and its predecessor organisations have played a central role in countering threats such as those posed by foreign subversive elements, spies, racial and religious extremists, and terrorists. A fulfilling and rewarding career awaits those who want to join in ISD’s critical mission of keeping Singapore safe, secure, and sovereign for all Singaporeans.

We utilise state-of-the-art technology and technical know-how to safeguard Singapore’s security and sovereignty. We need highly motivated Data Analytics Engineers to design and build powerful data science and analytics tools required to conduct data mining and facilitate data-driven decision making.

Besides being passionate about data, analytics, and software engineering, candidates should also be driven by our mission to make Singapore a safer home, and enjoy working on challenging, diverse, and unique problem statements. You will be supported by a team of highly technical and collaborative colleagues with opportunities for advanced training, including leading overseas conferences and courses.

What You Will Be Working On

1. Design, develop, deploy, and maintain analytics solutions that allow internal business teams to make data-driven decisions
2. Evaluate, adopt, integrate, and build on open-source and commercial analytics tools
3. Work closely with end users, data scientists, data engineers, and project managers in the planning, development, and delivery of solutions
4. Evaluate, maintain, and optimize code for accuracy, performance, maintainability, and scale of data queries, machine learning models, and data visualizations
5. Recommend and evaluate technologies to introduce new analytics capabilities

What We Are Looking For

1. Applicants with no experience may apply
2. Self-motivated, open-minded, resourceful, and meticulous. Able to work independently and in teams.
3. Ability to keep the overarching objectives of the project in mind while pursuing the technical details.
4. Competent in at least one programming language (e.g., Python, Java, JavaScript, C/C++, C#, SAS, R, Scala). Interest and ability to gain expertise in other programming languages, frameworks, and technologies.
5. Familiarity with one or more database querying languages (e.g., SQL, Pig, Hive, SparkQL).
6. Knowledge and experience with any of the following would be an advantage:

• Machine learning (e.g., predictive analytics, natural language processing)
• Data analytics (e.g., descriptive statistics, modeling)
• Big data technologies (e.g., Hadoop, Spark, Hive, Impala, HBase, Elasticsearch)
• Web development (e.g., HTML, CSS, JavaScript, PHP, Python, Ruby on Rails)
• Data visualisation (e.g., UX/UI design, PowerBI, D3, Tableau)
• System administration (e.g., OS, networking, databases)
• Container technologies (e.g., Docker, Kubernetes)

We wish to inform you that only shortlisted candidates will be notified.

• Entry level

• Full-time

• Information Technology

• Government Administration and Industrial Machinery Manufacturing

Referrals increase your chances of interviewing at Internal Security Department by 2x

Get notified about new Data Engineer jobs in Singapore, Singapore .

About Wego:

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.

Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.

What you will be working on:

You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.

Core Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
• Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
• Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
• Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
• Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
• Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
• Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
• Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.

Skills and experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years in a leadership role within data analytics, engineering, or data science.
• Strong expertise in BI tools such as Looker, Tableau, or similar.
• Proven experience managing multifunctional teams and complex data projects.
• Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
• Advanced SQL skills and familiarity with Python preferred.
• Knowledge of data governance, data privacy, and compliance.
• Strong project management and prioritization skills.

Nice to haves:

• Experience in the travel industry or with app-based products.
• Expertise in stakeholder management and cross-functional collaboration.
• Background in building data-driven cultures within high-growth organizations.

About Wego:

We’re on a mission to help people discover the real value of travel — to inspire, to give more reasons, to make it easy — for you to go. Our company was founded back in 2005, and since then, we’ve imagined and created some of the most well-loved products for travelers all around the world.

Today, Wego is used by millions of people every month — people who travel for adventure, work, family, and for many other reasons. That’s why we work tirelessly to make your experience of planning & booking flights, hotels, and trips as seamless as possible.

The Role:
We are seeking an experienced and visionary Lead, Data Analytics to manage our Data Analytics team and oversee Wego’s data initiatives. You will be responsible for guiding a team of analysts, developing data strategies, and ensuring the smooth execution of data projects across the organization. This role will be instrumental in driving Wego’s data culture, fostering best practices, and aligning data activities with business goals.

What you will be working on:

You will lead and mentor a team of data analysts, develop and execute a data strategy, and oversee the design and maintenance of data infrastructure. Working cross-functionally, you will ensure data insights are integrated into various business strategies, and you will promote a data-driven culture that emphasizes data integrity, governance, and compliance.

Core Responsibilities:

• Team Leadership: Lead, mentor, and manage a team of data analysts, overseeing hiring, training, and performance management.
• Data Strategy Development: Develop and implement a data strategy that aligns with Wego’s business objectives.
• Data Infrastructure Management: Oversee the design, development, and maintenance of data infrastructure, ensuring data integrity and pipeline reliability.
• Data Visualization & BI: Utilize Looker and other BI tools to provide business intelligence and support decision-making.
• Cross-functional Collaboration: Work with product, commercial, finance, and marketing teams to integrate data insights into strategies.
• Data Governance & Compliance: Ensure adherence to data privacy regulations and best practices.
• Project Management: Lead data projects, managing timelines and ensuring alignment with business goals.
• Culture Building: Promote a data-driven culture within the organization, championing continuous improvement and best practices.

Skills and experience:

• Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, or a related field.
• 5+ years in a leadership role within data analytics, engineering, or data science.
• Strong expertise in BI tools such as Looker, Tableau, or similar.
• Proven experience managing multifunctional teams and complex data projects.
• Proficiency with cloud architecture (e.g., AWS, BigQuery) and data pipeline management (e.g., Airflow).
• Advanced SQL skills and familiarity with Python preferred.
• Knowledge of data governance, data privacy, and compliance.
• Strong project management and prioritization skills.

Nice to haves:

• Experience in the travel industry or with app-based products.
• Expertise in stakeholder management and cross-functional collaboration.
• Background in building data-driven cultures within high-growth organizations.

Join to apply for the Principal - Data Analytics role at Slalom

1 week ago Be among the first 25 applicants

Join to apply for the Principal - Data Analytics role at Slalom

As a modern technology company, we've never met a technical challenge we didn't like. We enable our clients to learn from their data, create incredible digital experiences, and make the most of new technologies. We blend design, engineering, and analytics expertise to build the future. We surround our technologists with interesting challenges, innovative minds, and emerging technologies.

Slalom Singapore is looking for a strategic leader to join its fast-growing Data & Analytics team. The responsibilities include business and practice development, relationship management, engagement delivery, and people management. The ideal candidate has proven experience and fluency in at least 2 of the following skill groups: data strategy, data science, data engineering, and/or data visualization.

• Serve as a senior subject matter expert in data & analytics for clients, engaging with and influencing executives through customer-focused solutions and value-driven delivery.
• Collaborate with other practice areas to develop collateral, including go-to-market offerings, marketing materials, and thought leadership based on key trends and use cases, either horizontal offerings (e.g., Data Strategy, Data Science operating model, Data Governance) or in specific business segments (e.g., Marketing Analytics, Sales Performance Management, Financial Analytics).
• Lead business development and project delivery in data engineering, data visualization, and data science to solve complex client problems and deliver actionable insights.
• Drive knowledge management locally and across markets to provide solutions to clients.
• Lead and mentor team members in data and analytics topics, creating growth plans for the team.
• Qualify and progress opportunities through the sales cycle, including leading solution discussions, designing proposals, and writing statements of work.

• 10+ years of experience in data engineering, data visualization, and/or data science.
• 6-8 years of experience in consulting, including technical solution sales.
• Proficiency with AWS, Microsoft Azure, or GCP with a focus on data and analytics.
• Strong marketing, customer analytics, logical thinking skills, and clarity of thought.
• Experience managing people and delivering engagement in a business services context.
• Experience with technologies such as Snowflake, Databricks, Matillion, DBT, Tableau CRM, Fivetran, Amperity, Segment is a plus.

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Education and Training
• Industries: Business Consulting and Services

Referrals can double your chances of interviewing at Slalom. Get notified about new Principal jobs in Singapore.

We will be shifting to North East in December 2025. This candidate must be comfortable with being located in Jalan Buroh (West) until we shift. There is currently 2 way transport located at various MRT stations island-wide for the commute to Jalan Buroh.

Job Responsibilities

• Identify bottlenecks and inefficiencies of current processes and propose automation solutions.
• Conduct data driven assessment to identify areas of improvement to work processes.
• Develop & maintain dashboards for internal reporting
• Monitor data quality to ensure consistency across the Company’s reporting metrics.
• Resolve data related issues and discrepancies in the system.
• Assist in generating recurring reports and fulfilling ad-hoc analysis request from stakeholders to support strategic decisions.
• Partner with business stakeholder to understand their requirements, propose data solutions and communicate insights in an actionable manner.
• Support projects that will drive company's overall efficiency, workflow simplification and process improvements.
• Provide end to end support for system
• Other duties assigned

Education & Experience

• Degree in Business or related field
• 1 year of experience in related field
• Able to communicate effectively with stakeholders
• Advanced skills in Microsoft Excel.

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We are seeking an senior AI business engineer to lead the design and implementation of enterprise-scale data and analytics solutions in GCFO, with a strong focus on SAP technologies, artificial intelligence, and semantic web technologies. The ideal candidate will have extensive experience in cloud architecture, data engineering, business intelligence, knowledge graphs, and AI solutions, with a proven track record of delivering complex technical solutions for Fortune 500 companies.

Key Responsibilities
• Design and architect end-to-end data and analytics research and development activities in artificial intelligence, ensuring scalability, security, and performance
• Lead technical strategy and implementation of enterprise-wide intelligence and computer augmented analysis platforms
• Design and implement AI/ML solutions using SAP's AI suite of products
• Manage stakeholder relationships across internal teams and external partners
• Provide R&D leadership and mentoring to development teams
• Oversee solution design, from high-level architecture to detailed technical specifications
• Lead business decision-making and AI safety governance

• Lead the strategic direction for SAP AI implementations across the enterprise, focusing on SAP Business AI, AI Core, and emerging technologies like Joule
• Drive the adoption and integration of SAP's conversational AI capabilities, including Just Ask and natural language processing solutions
• Develop and execute roadmaps for AI/ML initiatives within the SAP ecosystem
• Collaborate with business stakeholders to identify and prioritize AI use cases that deliver measurable business value
• Architect and implement solutions using SAP AI Core and SAP Core AI SDK
• Lead the integration of Joule AI assistant across SAP applications and business processes
• Design and deploy conversational AI solutions using SAP's Just Ask technology
• Develop custom AI/ML models using SAP AI Core and integrate them with existing SAP systems
• Implement SAP Business AI solutions across various business domains
• Establish best practices for AI model lifecycle management and MLOps
• Build and lead a team of AI/ML engineers and developers specialized in SAP technologies
• Establish governance frameworks for AI model development, deployment, and monitoring

• Ensure compliance with ethical AI principles and regulatory requirements
• Create and maintain documentation for AI solutions and architectural decisions
• Mentor team members on SAP AI technologies and best practices
• Responsible for proactively seeking regular assurance that function is performing to an acceptable risk and control standards.
• Responsible to act quickly and decisively when any risk and control weakness become apparent and ensure they are addressed within an appropriate timeframe and, if necessary, escalated through the relevant committees.
• Responsible to balance business performance delivery and cost management with risk and control matters to ensure that it does not materially threaten the Group, remaining within risk appetite.
• Responsible to work in collaboration with risk and control teams.
• Display exemplary conduct and live by the Group’s Values and Code of Conduct.
• Take personal responsibility for embedding the highest standards of ethics, including regulatory and business conduct, across Standard Chartered Bank. This includes understanding and ensuring compliance with, in letter and spirit, all applicable laws, regulations, guidelines and the Group Code of Conduct.
• Lead to achieve the outcomes set out in the Bank’s Conduct Principles
• Effectively and collaboratively identify, escalate, mitigate and resolve risk, conduct and compliance matters.
• Exercise authorities delegated by the Board of Directors and act in accordance with Articles of Association (or equivalent)

Skills and Experience

O ur Ideal Candidate:

• Degree in Computer Science
• 15+ years of experience, in Data & Analytics, preferably in banking.
• Experience in large, complex organisations, ability to handle cultural diversity and managing senior stakeholders.
• 3+ years of experience with AI/ML
• Experience in data and analytics solutions architecture
• Extensive experience with cloud platforms (Azure/AWS) and SAP Cloud solutions
• Strong expertise in SAP Analytics Cloud (SAC) and related technologies
• Deep understanding of semantic web technologies and knowledge graphs
• Experience in natural language processing
• Experience with AI governance and ethical considerations
• Expertise in Python, Java, and SAP development technologies
• Deep understanding of SAP's AI strategy and roadmap

Role Specific Technical Competencies
• Data Engineering
• Business Intelligence
• Analytics
• AI/ML
• Expert knowledge of SAP AI Core and SAP Core AI SDK
• Hands-on experience with SAP Business AI implementation
• Proficiency in AI/ML model development and deployment
• Experience with SAP BTP (Business Technology Platform)
• Strong understanding of SAP's latest AI offerings including Joule and Just Ask

We're an international bank, nimble enough to act, big enough for impact. For more than 170 years, we've worked to make a positive difference for our clients, communities, and each other. We question the status quo, love a challenge and enjoy finding new opportunities to grow and do better than before. If you're looking for a career with purpose and you want to work for a bank making a difference, we want to hear from you. You can count on us to celebrate your unique talents and we can't wait to see the talents you can bring us.

Our purpose, to drive commerce and prosperity through our unique diversity, together with our brand promise, to be here for good are achieved by how we each live our valued behaviours. When you work with us, you'll see how we value difference and advocate inclusion.

Together we:

• Do the right thing and are assertive, challenge one another, and live with integrity, while putting the client at the heart of what we do
• Never settle, continuously striving to improve and innovate, keeping things simple and learning from doing well, and not so well
• Are better together, we can be ourselves, be inclusive, see more good in others, and work collectively to build for the long term

In line with our Fair Pay Charter, we offer a competitive salary and benefits to support your mental, physical, financial and social wellbeing.

• Core bank funding for retirement savings, medical and life insurance, with flexible and voluntary benefits available in some locations.
• Time-off including annual leave, parental/maternity (20 weeks), sabbatical (12 months maximum) and volunteering leave (3 days), along with minimum global standards for annual and public holiday, which is combined to 30 days minimum.
• Flexible working options based around home and office locations, with flexible working patterns.
• Proactive wellbeing support through Unmind, a market-leading digital wellbeing platform, development courses for resilience and other human skills,global Employee Assistance Programme, sick leave, mental health first-aiders and all sorts of self-help toolkits
• A continuous learning culture to support your growth, with opportunities to reskill and upskill and access to physical, virtual and digital learning.
• Being part of an inclusive and values driven organisation, one that embraces and celebrates our unique diversity, across our teams, business functions and geographies - everyone feels respected and can realise their full potential.

Some of our roles use assessments to help us understand how suitable you are for the role you've applied to. If you are invited to take an assessment, this is great news. It means your application has progressed to an important stage of our recruitment process.

Provider

Description

Enabled

SAP as service provider

• "route" is used for session stickiness
• "careerSiteCompanyId" is used to send the request to the correct data centre
• "JSESSIONID" is placed on the visitor's device during the session so the server can identify the visitor

Description

Enabled

LinkedIn