131 Sales Data jobs in Singapore

About the job

Our client in is looking for an experienced Solution Architect/ Pre-sales (Data & AI) to join their team.

Your new role

As Pre-sales (Solution Architect), you will be responsible for:

• Lead cloud solution architecture and product planning, ensuring scalable, efficient, and innovative implementations.
• Manage technical delivery of cloud projects, including demos, POCs, implementation, and post-sales support.
• Communicate cloud AI product value by comparing competitors and tailoring messaging across diverse APAC stakeholders.
• Understand digital transformation challenges across industries, identifying customer needs and aligning with tech trends.
• Drive product improvement by bridging customer feedback and product teams, enhancing cloud solution competitiveness.

What you’ll need to succeed

• Bachelor’s degree
• 7+ years of experience in data/ cloud solution architecture, Pre-sales, Post-sales.
• Experienced in data analytics and AI frameworks like SQL, Python, TensorFlow, and PyTorch.
• Skilled in designing cloud architectures across AWS, Azure, and Google Cloud platforms.
• Responsible for technical planning, implementation, and support across cloud-based projects.
• Proactive, customer-centric mindset with readiness to travel across APAC for client engagements.

What you'll get in return

In return, you'll be part of an organization that values its employees. You’ll be rewarded with:

• Structured career growth and plenty of developmental opportunities
• Stable working environment

What you need to do now

If you're interested in this role, click 'apply now' or for more information and a confidential discussion on this role or to find out about more opportunities in Technology contact Yuki Cheung or email Referrals are welcome.

At Hays, we value diversity and are passionate about placing people in a role where they can flourish and succeed. We actively encourage people from diverse background to apply.

EA Reg Number: R | EA License Number: 07C3924 | Company Registration No: D

Position Summary

This is an exciting, newly created position for a junior salesperson to join a growing cross-regional APAC team The role specializes in assisting with sales of data solutions - across the financial sector and other industries. We target a wide range of personas who require data, analytics, and infrastructure for their operations.

As a junior ''hunter'' in pre-sales and pursuit activities, you will assist the team grow our revenue winning new business with either existing or new customers.

This role is exclusively about gross sales, with a view to be promoted to a senior seller depending on performance. The successful candidate will get a phenomenal amount of support from the very beginning. We have extensive training provided via onboarding programs and continued mentoring by other frontline staff and management.

We are an equal opportunities employer and create an environment where the individual will benefit greatly in terms of their career growth, client exposure, knowledge and skills. If you're interested in joining a dynamic and growing cross regional team, please apply

Role Responsibilities

• Support senior sales specialists to win new business
• Lead generation via Salesloft campaigns, cold calling, etc.
• Go after new business via sales strategies (target lists, market research)
• Support the cross regional team with progressing opportunities via monitoring internal processes
• Deliver customer demonstrations on our data solutions related product offerings

Qualifications and Experience Required

• 2-4 years of experience working in the financial industry, ideally in a client facing organisation
• General understanding of financial markets and how professionals use market data
• Strong Sales mentality
• Strong presentation skills (verbal & written)

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership , Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce. You will be part of a collaborative and creative culture where we encourage new ideas and are committed to sustainability across our global business. You will experience the critical role we have in helping to re-engineer the financial ecosystem to support and drive sustainable economic growth. Together, we are aiming to achieve this growth by accelerating the just transition to net zero, enabling growth of the green economy and creating inclusive economic opportunity.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained, your rights and how to contact us as a data subject .

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

SALES_MARKETING

The Pricing Reference Services Sales role at LSEG drives adoption of end of day and evaluated pricing, corporate actions and reference data solutions across all major asset classes for both buyside and sellside institutions.

The candidate will engage both middle and back office teams, custody providers and fund administrators to deliver solutions that simplify workflows, streamline regulatory reporting and support operational efficiency.

As a "hunter" in pre-sales and pursuit activities, you will join a team to act alongside Account Managers focusing on all sales (new, cross-sells, up-sells) for Data & Feeds Solutions in the given territory, to both existing and new customers.

This role is exclusively about gross sales, with future potential territory expansion depending on performance, and regular travel around the region. Extensive training and support is provided, and involves working in close partnership with account managers, solution consultants and customer success managers to proactively drive revenue growth.

LSEG is committed to encouraging a diverse, equitable, an inclusive work environment, ensuring equal opportunities for all employees, regardless of their background. We offer great employee benefits to make sure everyone performs to the best of their abilities

Role Responsibilities

• Drive sales of multi-asset pricing and reference data services to institutional clients across asset management, banking, custody and fund administration sectors
• Develop relationships within middle and back office departments, including operations, risk, compliance and data management teams.
• Articulate value for regulatory compliance and reporting needs helping clients meet global and regional obligations using LSEG's data solutions
• Address client requirements for data enrichment, instrument identification (symbology) and integration with portfolio management, risk, core banking, core banking, custody and fund administration platforms.
• Support clients in leveraging LSEG data for operational processes and workflow transformation

Key Experience & Skills

• Deep understanding of financial markets and their market data requirements
• While product knowledge is a plus, passion and proven selling skills are far more meaningful
• Strong sales closer
• Strong presentation skills (verbal & written)
• Experience driving sales strategies
• 5+ years of industry, sales or market experience
• Proven track record in a quota bearing sales environment

People are at the heart of what we do and drive the success of our business. Our colleagues thrive personally and expertly through our shared values of Integrity, Partnership, Change and Excellence, which are at the core of our culture. We embrace diversity and actively seek to attract people with unique backgrounds and perspectives. We are always looking at ways to become more agile, so we meet the needs of our teams and customers. We believe that an inclusive collaborative workplace is pivotal to our success and supports the potential and growth of all colleagues at LSEG.

Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.

LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.

Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.

Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.

You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.

LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

Please take a moment to read this

privacy notice

carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it's used for, and how it's obtained,

your rights and how to contact us as a data subject

.

If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.

• Support senior sales specialists to win new business
• Lead generation via Salesloft campaigns, cold calling, etc.
• Go after new business via sales strategies (target lists, market research)
• Support the cross regional team with progressing opportunities via monitoring internal processes
• Deliver customer demonstrations on our data solutions related product offerings

• 2-4 years of experience working in the financial industry, ideally in a client facing organisation
• General understanding of financial markets and how professionals use market data
• Strong Sales mentality
• Strong presentation skills (verbal & written)

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
  Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
  Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Submit CV

Imagine what you could do here. At Apple, new ideas have a way of becoming outstanding products, services, and customer experiences very quickly. Bring passion and dedication to your job, and there's no telling what you could accomplish. Apple's Sales organization generates the revenue needed to fuel our ongoing development of products and services. This, in turn, enriches the lives of hundreds of millions of people around the world. We are, in many ways, the face of Apple to our largest customers. Apple's Decision Intelligence (DI) team is looking for a versatile individual who is passionate about crafting, implementing, and operating analytical solutions that have a direct and measurable impact on Apple Sales and its customers.

Description

As a DI Data Scientist, you will employ predictive modeling, data visualization, and statistical analysis techniques to build end-to-end solutions for internal collaborators, using sales performance data, market data, programs, external data, etc. This role will operate in both capacities, to augment existing data solutions, as well as innovate and inventing data science projects, crafting analytic experiences that simplify data into insights and catalyze decision-making. Analytics is a team sport, and in your role, you will be key in leading and influencing teams on the translation of business problems and questions into data science models.

Responsibilities

• In this role, you will:
• Be a core technical contributor building models and intelligence layers that power our AI agents, insights engines, and GenAI-enhanced platforms. You'll develop robust ML pipelines, design evaluators for LLM responses, and embed decision-making intelligence into sales-facing tools. Your work will drive prescriptive analytics, root cause analysis, and agent behavior tuning. You will do all this by:
• Developing and productionizing ML models (e.g., forecasting, anomaly detection, attribution, causal inference) used by our AI agents and insights platforms
• Building RCA and recommendation engines that enhance summarization and chatbot capabilities.
• Analyzing agent interactions and implementing LLM evaluation pipelines to measure factual accuracy, latency, and user satisfaction.
• Supporting experimentation and A/B testing for new insight types and interaction methods.
• Partnering with AI engineers and PMs to scale features across regions and tools.
• Act as a data translator, bridging the gap in expertise between technical teams, made up of data analysts, data engineers, software developers, and business stakeholders. Successfully bridging analytics and business, with the ability to speak the language of both.
• Influence upstream data model design, drive benchmark definitions, and develop your own data solutions as needed.
• Establish a comprehensive roadmap to communicate and manage our commitments and stakeholder expectations while enabling org-wide visibility on progress.
• Build and support dashboards and self-service tools (using several platforms) to analyze and present internal and external data.
• Leverage available AI/ML models across the company and translate those for region-specific needs.

Minimum Qualifications

• We're looking for someone with an eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
• Familiarity with vector similarity search, RAG architectures, and LLM prompt evaluation.
• Experience co-developing with software engineers in production environments.
• Ability to lead development projects from start to finish.
• Comfort with ambiguity. Ability to structure complex analysis through data analysis and strategy research.
• Collaborate closely with business teams to deep dive into business performance and improve reporting dashboards on key operational metrics.
• 4+ years of experience in a Data Visualization, Data Science, Data Analysis, or Data Translation role, with a keen eye for design and attention to detail.
• Applied knowledge of statistical data analysis, predictive modeling classification, Time Series techniques, sampling methods, multivariate analysis, hypothesis testing, and drift analysis.
• Proficiency in SQL and experience with at least one major data analytics platform, such as Hadoop, Spark, or Snowflake.
• Expertise with data visualization tools (such as Tableau, d3, plotly, etc.) for data analysis and presentation. Experience with Tableau Server, TabPy, and Extensions is a plus.
• Proficiency in programming languages, tools, and frameworks like Python, Git, Notebooks, Dataiku, and Streamlit.
• Knowledge of project management and productivity tools such as Wrike, Sketch.
• Strong time management skills with the ability to collaborate across multiple teams.
• Knowledge of best practices in data analysis, data visualization, and data science.
• Able to balance competing priorities, long-term projects, and ad hoc requirements.
• Ability to work in a fast-paced, dynamic, constantly evolving business environment.
• Bachelors's degree in Computer Science, Statistics, Mathematics, Engineering, Economics, Applied Mathematics, Machine Learning, or a related field.

Preferred Qualifications

• Experience with observability tools for LLMs (e.g., LangSmith, Truera, Weights & Biases)
• Proven experience working with LLMs and GenAI frameworks (LangChain, LlamaIndex, etc.)
• Strong experience articulating and translating business questions into data solutions.
• Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
• Experience with anomaly detection and causal inference models.
• Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience. Strong ability to gain trust with stakeholders and senior leadership.
• Familiarity with embedding, retrieval algorithms, agents, and data modeling for vector development graphs.
• Advanced Degree (MS or Ph.D.) in Economics, Electrical Engineering, Statistics, Data Science, or a similar quantitative field.

Key Responsibilities

• Lead sales and business development initiatives for HVAC and electrical solutions within the data center sector.
• Deliver pre-sales technical support, including product demonstrations, presentations, and customized solution proposals.
• Oversee product lifecycle management, including pricing strategy, market analysis, and competitive positioning.
• Build and maintain strong relationships with key clients, telecom operators, and data center operators across the region.
• Collaborate closely with engineering and technical teams to develop solutions aligned with customer requirements.

Requirement

• 3–8 years of experience in sales of data center or telecom electrical/HVAC equipment.
• Demonstrated success in pre-sales support, solution design, and client relationship management.
• Practical involvement in large-scale data center projects across the APAC region.
• Prior experience in electrical product sales with a well-established industry network is highly advantageous
• Excellent communication, presentation, and negotiation skills.

Preferred Qualities

• Self-motivated, ambitious, and entrepreneurial, with a strong drive to succeed.
• Trustworthy, dependable, and collaborative, with excellent problem-solving skills.
• Keen to grow and adapt within a dynamic, fast-paced startup environment.

Handshakes is an award-winning DataTech company that empowers clients to make informed decisions by providing valuable insights derived from reliable data sources. Leveraging cutting-edge machine learning technology, we analyze and offer corporate data from both public and private domains. Our Handshakes App is recognized for fusing these data sources to deliver strategic business intelligence to our clientele.

We are looking for a high-energy Data Sales Specialist who will be on the front lines of commercial activities and helping in the growth of our data solutions business. This is a chance to build something from the ground up, drive go-to-market execution, and build lasting client relationships across ASEAN. This role is ideal for someone with a background in data sales, corporate data or an exposure in corporate intelligence space. This Data Space Specialist role is based in our Singapore office.

As a Data Sales Specialist , you would be involved in:

• Shaping and executing the GTM strategy for Handshakes' data solutions, targeting key industries and customer segments
• Aggressively building your own sales pipeline, from prospecting to closing high-value enterprise deals
• Developing and expanding long-term relationships with key accounts to drive repeat business and upsell opportunities
• Taking full ownership of meeting and exceeding sales quotas and revenue goals
• Working with our marketing and data analytics teams to refine offerings based on real-time market feedback

To be considered for this role of a Data Sales Specialist , you would have:

• B2B sales experience of at least 4 years with a proven track record in data solutions or information services
• A strong network within regulated industries like credit bureaus, financial services, RegTech, or the Big 4
• A demonstrated ability to build pipelines and close enterprise-level deals
• A self-starter who thrives on building from scratch with independent thinking and creative problem-solving skills
• Excellent communication, presentation, and stakeholder engagement skills

Ready to lead the future of data sales? Apply here now or send your resume and a cover letter to .

We are not engaging with recruitment agencies. Referrals from recruitment firms will not be entertained.

Salary Range: 10k – 13k

Working Location: Raffles Place

Role Overview

We are seeking an experienced Associate Practice Engagement Manager to drive sales and client engagement in the areas of data transformation, analytics, and cloud migration .

The ideal candidate will have a strong track record in selling and managing large-scale data analytics and cloud transformation projects across multiple industries.

Key Responsibilities

• Drive sales of data transformation and analytics solutions (including cloud migration and modernization).
• Engage with clients to identify needs, define opportunities, and deliver tailored transformation services.
• Lead consultative sales conversations and present value propositions to senior stakeholders (up to C-Suite).
• Manage and grow client relationships, ensuring delivery excellence across large-scale data projects.
• Work closely with delivery teams to ensure successful execution of transformation programs.

• Proven track record in sales of data analytics and transformation services within IT services companies.
• Strong experience in large-scale cloud transformation projects , including data migration and cloud platform implementations (Azure, AWS, GCP).
• Exposure to HR transformation and analytics initiatives .
• Deep understanding of data lifecycle, data analytics, and cloud-based data platforms .
• Demonstrated success in consultative selling and closing large deals.
• Excellent communication, presentation, and client engagement skills.

• Knowledge of enterprise data management, data governance, and data quality .
• Familiarity with modern data architecture, AI/ML, IoT, and intelligent automation .
• Experience with visualization tools (Power BI, Tableau, Qlik).

We respect your privacy and all communication will be treated with confidentiality.

Please contact us or apply in-confidence to us with you updated MS Word Resume to :

Jacqueline Tai (Reg. No. R

STAR CAREER CONSULTING PTE LTD (EA License: 20C0353)