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Sales - Data & Insight Manager Southeast Asia jobs at Apple in Singapore

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111 jobs found
26.08.2025
A

Apple Sales - Technical Data Analyst Singapore

Limitless High-tech career opportunities - Expoint
Act as a primary point of contact for production support of our business data systems and ETL pipelines. Proactively monitor system performance, data loads, and pipeline health to identify and...
Description:
  • Act as a primary point of contact for production support of our business data systems and ETL pipelines.
  • Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
  • Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
  • Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
  • Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
  • Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
  • Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
  • 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
  • BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
  • Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
  • A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
  • Proficiency in advanced SQL, including performance tuning and writing complex queries.
  • Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
  • Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
  • Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
  • Familiarity with version control systems (Git) and CI/CD practices.
  • Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
  • Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
  • Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
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25.08.2025
A

Apple AIML - Data Operations Annotation Analyst Vietnamese months ... Singapore

Limitless High-tech career opportunities - Expoint
Vietnamese reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills with...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements.This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
  • Vietnamese reading, writing, and comprehension skills to support the language specific market
  • Fluency in English reading, writing and comprehension skills to partner with international teams
  • Excellent active listening skills with the ability to understand verbal nuances
  • Understanding of the local region and cultural variations
  • Demonstrates integrity and focuses on customer privacy
  • Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
  • Highly organized with strong attention to detail
  • Ability to independently navigate systems and tools
  • Experience in content review or a similar environment, prior testing experience preferred
  • Demonstrates flexibility and adaptability to changing work-flows and responsibilities
  • Grows with a team where expertise is shared and feedback is welcomed
  • Excels at working independently to make timely decisions and take appropriate actions
  • Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
  • Successfully meets or exceeds targets, working within tight deadlines
  • Ability to identify business process solutions that increase efficiencies
  • Ability to maintain focus and aim for high results through large volumes of tasks
  • Ability to work on safety data which could include offensive material
  • Thrives in repetitive work and ambiguous scenarios
  • Bachelor’s degree or equivalent job-related experience
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25.08.2025
A

Apple Sales - Education Government Engagement Specialist South Asi... Singapore

25.08.2025
A

Apple AIML - Data Operations Annotation Analyst Korean months cont... Singapore

Limitless High-tech career opportunities - Expoint
Korean reading, writing, and comprehension skills to support the language specific market. Fluency in English reading, writing and comprehension skills to partner with international teams. Excellent active listening skills with...
Description:
As part of the Data Operations team you'll play a central role in enhancing the user experience. We work in a fast paced, dynamic, technology focused environment. As an Annotation Analyst, you'll annotate data which can be both audio and visual and evaluate data from customers who have opted in to the grading program. You'll use your language and cultural knowledge, along with analytical skills, to evaluate responses and information against guidelines. Your flexibility and the ability to prioritize tasks is essential. We focus on the user experience, thinking creatively on how customers use our products and use this knowledge for improvements. This position is required to work Monday through Friday with work hours starting between 7am-9am and ending between 4pm-6pm local time with scheduling and work flexibility based on business needs.
  • Korean reading, writing, and comprehension skills to support the language specific market
  • Fluency in English reading, writing and comprehension skills to partner with international teams
  • Excellent active listening skills with the ability to understand verbal nuances
  • Understanding of the local region and cultural variations
  • Demonstrates integrity and focuses on customer privacy
  • Demonstrates attention to detail and critical thinking skills in evaluation of language usage and dialect
  • Highly organized with strong attention to detail
  • Ability to independently navigate systems and tools
  • Experience in content review or a similar environment, prior testing experience preferred
  • Demonstrates flexibility and adaptability to changing work-flows and responsibilities
  • Grows with a team where expertise is shared and feedback is welcomed
  • Excels at working independently to make timely decisions and take appropriate actions
  • Experience as an end user of Siri, similar Intelligent Personal Assistants, or other AI
  • Successfully meets or exceeds targets, working within tight deadlines
  • Ability to identify business process solutions that increase efficiencies
  • Ability to maintain focus and aim for high results through large volumes of tasks
  • Ability to work on safety data which could include offensive material
  • Thrives in repetitive work and ambiguous scenarios
  • Bachelor’s degree or equivalent job-related experience
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25.08.2025
A

Apple Sales - Data & Insight Manager Southeast Asia Singapore

Limitless High-tech career opportunities - Expoint
Experience in the retail industry. 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position. Solid...
Description:
* Lead and develop a team of data analysts based in Singapore, providing guidance, support and mentorship* Define strategy & vision for the Data & Insight team in the areas of analytics, reporting and AI/ML* Act as business partner to Sales leaders; engage regularly to understand opportunities and challenges* Form a deep understanding of Apple Sales business, and support business decisions by translating complex data insights into clear, actionable strategies* Supervise or directly manage projects to create new reports and dashboards supporting the business, or roll-out WW reporting solutions in our region* Define South-East Asia Sales AI/ML roadmap and build up capabilities within the team* Develop partnership with Apple IT team and keep on point on latest in-house technology* Act as a liaison with WW Data & Insight teams to facilitate communication and knowledge sharing* Own and manage portfolio of data management and sales ops processes run by the team
  • Experience in the retail industry
  • 12+ years of experience in data & insight, reporting, data analysis, business intelligence or similar positions - with 5+ years in a manager position
  • Solid business acumen, with proven ability to understand various business situations effectively and make sound judgments and decisions
  • Extensive data management skills, including but not limited to data analysis, data modeling, database management, data governance, and proficiency with tools such as SQL, Excel or Tableau
  • Experience with AI/ML models and their application in data management and insights generation
  • Ability to prioritize, plan, delegate and implement strategies, programs and projects successfully
  • Proven people management skills, building capabilities of individuals and team through effective employee development, involvement, communication and mentorship
  • Exceptional communication and presentation skills
  • Experience with UI/UX development, including data visualisation design
  • Experience with programming/scripting languages, such as Python
  • Foundational understanding of AI/ML technologies, including data pipelines, model development, and deployment workflows; familiarity with modern ML tools, frameworks, and platforms is plus
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24.08.2025
A

Apple Sales - Regional Change Management Lead SEA Singapore

Limitless High-tech career opportunities - Expoint
Conduct detailed impact assessments and readiness analyses to advise strategic transformation roadmaps. Design and implement end-to-end change management strategies, integrating process improvements with people-centric adoption plans. Develop and deliver compelling...
Description:
  • Conduct detailed impact assessments and readiness analyses to advise strategic transformation roadmaps.
  • Design and implement end-to-end change management strategies, integrating process improvements with people-centric adoption plans.
  • Develop and deliver compelling communications, training programs, and partner engagement strategies tailored for regional Channel Sales teams.
  • Cultivate and empower a network of change champions and key partners to drive adoption and sustain behavioral change.
  • Lead comprehensive business process analysis, mapping current state workflows, identifying inefficiencies, and recommending optimized solutions for Channel Sales operations.
  • Collaborate closely with global teams, regional leadership, and project managers to embed change activities into project lifecycles.
  • Proactively identify, mitigate, and manage resistance, issues, and risks associated with change initiatives.
  • Define, track, and report on key performance indicators and success metrics to measure the effectiveness and return on investment of transformation efforts.
  • Provide expert consultation and coaching to project teams and regional leaders on change methodologies and process improvement best practices.
  • BA/BS degree in Business, Organizational Development, Industrial/Organizational Psychology, or a related field.
  • 7+ years of experience in business process analysis, re-engineering, or operational excellence roles, ideally within a retail environment.
  • Demonstrated expertise in leading large-scale organizational change initiatives.
  • Proven ability to analyze complex processes, identify root causes of inefficiencies, and design practical, scalable solutions.
  • Exceptional communication, presentation, and influencing skills, capable of engaging and building rapport with diverse stakeholders from front-line teams to senior executives.
  • Strong analytical and problem-solving abilities, with a data-driven approach to decision-making.
  • Experience integrating change management activities into project and program plans.
  • Ability to thrive in a multifaceted, fast-paced, and often ambiguous environment, managing multiple priorities effectively
  • Master's degree in a relevant field.
  • Familiarity with retail management processes (e.g., account management, partner enablement, demand generation, etc.).
  • Experience working in a regional role as part of a global organization.
  • Certification in change management (e.g. Prosci) or process improvement (e.g. Lean Six Sigma Green/Black Belt).
  • Experience with agile delivery models.
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24.08.2025
A

Apple Sales - Principal AI Scientist Singapore

Limitless High-tech career opportunities - Expoint
Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement,...
Description:
The role requires expertise in a wide range of modeling techniques, from traditional ML and optimization to advanced transformer-based architectures and LLM-powered components, applied to real-world, high-impact problems.
  • Model Development: Design and implement machine learning models, including traditional ML, optimization, deep learning, reinforcement learning, graph neural networks, and generative AI, to address business challenges in customer acquisition, engagement, and retention.
  • Algorithm Innovation: Develop novel algorithms and optimization techniques to solve complex problems, ensuring scalability and performance in production environments.
  • Model Validation: Invent and implement robust validation strategies to ensure model accuracy, reliability, and generalizability, leveraging both quantitative metrics and qualitative insights.
  • Data Processing: Work with large-scale datasets, utilizing advanced data processing techniques to extract meaningful insights and prepare data for modeling.
  • Productionization: Deploy and maintain machine learning models in production, ensuring high performance, scalability, and reliability.
  • Multi-Functional Collaboration: Partner with sales, engineering, analytics, and other teams to align ML solutions with business objectives and integrate them into user-facing systems.
  • Continuous Improvement: Stay abreast of the latest advancements in AI/ML and propose innovative approaches to enhance existing solutions.
  • Professional Experience: Minimum of 10 years of professional experience in machine learning, artificial intelligence, data science, or related fields, with a proven track record of delivering impactful ML solutions in industry settings.
  • Educational Background: Advanced degree (Master’s or Ph.D.) in Computer Science, Data Science, Operations Research, or a related field, or equivalent professional experience.
  • Operations Research Expertise: Strong background in operations research, with hands-on experience applying optimization techniques (e.g., linear programming, dynamic programming, combinatorial optimization) to solve complex, real-world problems in sales or related domains.
  • Advanced AI/ML Knowledge: Deep understanding of machine learning principles, including supervised and unsupervised learning, deep learning, reinforcement learning, graph neural networks, and generative AI. Proficiency in practical implementation, hyper-parameter tuning, and performance optimization is essential.
  • Algorithm Development: Exceptional ability to design and implement novel algorithms tailored to specific business needs, with a focus on scalability and efficiency.
  • Validation Expertise: Proven ability to develop innovative validation frameworks to assess model performance, ensuring robustness and reliability in production environments.
  • Python Proficiency: Exceptional programming skills in Python, with experience writing clean, efficient, and maintainable code. Familiarity with libraries such as TensorFlow, PyTorch, Scikit-learn, or similar is highly desirable.
  • SQL Competence: Strong ability to write complex SQL queries to extract, transform, and analyze large datasets from relational databases.
  • Multi-functional Collaboration: Excellent communication and collaboration skills to work effectively with diverse teams and translate business requirements into technical solutions.
  • Experience with Large-Scale Systems: Practical experience building and deploying ML models at scale, with a focus on real-world applications.
  • Experience with transformer-based architectures or large language models (LLMs) for personalization or other applications.
  • Familiarity with cloud-based ML platforms (e.g., AWS, GCP, Azure) and distributed computing frameworks.
  • Knowledge of sales and customer engagement processes, particularly in a global context.
  • Ph.D. in Machine Learning, Computer Science, Mathematics, Operation Research, or a related field.
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Limitless High-tech career opportunities - Expoint
Act as a primary point of contact for production support of our business data systems and ETL pipelines. Proactively monitor system performance, data loads, and pipeline health to identify and...
Description:
  • Act as a primary point of contact for production support of our business data systems and ETL pipelines.
  • Proactively monitor system performance, data loads, and pipeline health to identify and resolve issues before they impact our business users.
  • Investigate, troubleshoot, and perform root cause analysis for system failures, data discrepancies, and performance bottlenecks.
  • Develop and enhance operational tools, dashboards, and automated scripts (primarily in Python and SQL) to improve system monitoring and support efficiency.
  • Collaborate closely with Engineering Program Managers (EPMs), data engineers/SWEs, QA, and product managers to ensure system stability and resolve complex issues.
  • Document technical issues, solutions, and failure scenarios to build a robust knowledge base for the team.
  • Respond to inquiries from business users regarding data availability and system issues in a timely and professional manner.
  • 4+ years of hands-on experience in a data-centric role with a strong emphasis on production support, data engineering, or a similar field.
  • BS or MS in Computer Science, Engineering, or a related field, or equivalent practical experience.
  • Excellent problem-solving and analytical skills, with the ability to work independently in a fast-paced, dynamic environment.
  • Strong verbal and written communication skills, capable of explaining technical issues to both technical and non-technical partners.
  • A collaborative, team-oriented mindset with a passion for ensuring high-quality data and system reliability.
  • Proficiency in advanced SQL, including performance tuning and writing complex queries.
  • Experience with scripting languages for automation and ETL development, particularly Python (Shell or Golang is a plus).
  • Solid understanding of relational databases (e.g., Postgres, Oracle, Snowflake) and data warehousing concepts.
  • Hands-on experience working with and maintaining ETL pipelines and workflow management tools (e.g., Airflow).
  • Familiarity with version control systems (Git) and CI/CD practices.
  • Experience with cloud platforms (AWS, Google Cloud) and working with APIs is beneficial.
  • Familiarity with Big Data technologies (e.g., Spark, Hadoop, Hive) is a plus.
  • Exposure to AI/ML tools for operational monitoring or data analysis is a plus.
Show more
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