202 Data Transformation jobs in Singapore

At our organization, we are seeking a highly skilled and self-driven expert to design, develop, and maintain scalable data pipelines and architectures. The ideal candidate will possess expertise in PySpark, Python, and modern cloud-based data services.

• Design and implement efficient data ingestion processes using Azure Synapse Analytics and Azure Data Explorer.
• Develop and optimize ETL/ELT workflows using tools such as Azure Data Factory, Databricks, and Apache Spark.
• Integrate data from various sources including APIs, structured/unstructured files, IoT devices, and real-time streams.
• Ensure data quality, availability, and security across the entire data lifecycle.
• Collaborate with analysts, data scientists, and engineering teams to deliver business-aligned data solutions.

Requirements:

• Bachelor's Degree in Computer Science, Engineering, or related field.
• 3–5 years of experience in cloud-based data engineering, PySpark, and Big Data technologies.
• Strong hands-on experience with Azure Synapse Analytics for pipeline orchestration and data handling.
• Expertise in SQL, data warehousing, data marts, and ingestion using PySpark and Python.

Good to Have:

• Experience with Azure Purview for metadata management, data lineage, governance, and discovery.
• Ability to work independently and take full ownership of assignments.

Our culture is shaped by a strong set of shared behaviors that guide the way we work and uphold our commitment to excellence. We foster collaboration and accountability across all functions to achieve our goals together.

Objectives of this position:
To support the successful delivery of the Data Transparency program, a strategic digital transformation initiative involving the greenfield implementation of Cloud Data & Analytics platform. The role focuses on day-to-day project execution, cross-team coordination, and delivery support from the business side, working alongside IT and vendor project managers to ensure milestones are achieved on time and with quality.
What will you do?
The holder of this position will be primarily responsible for the following activities in close coordination with the Business Lead:
Coordinate and manage the execution of project deliverables, ensuring alignment across business, IT, and vendor teams.
Maintain and monitor project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), resource trackers, and timelines.
Support the Project Lead in preparing project updates, dashboards, and materials for senior leadership and the steering committee.
Facilitate and document business requirements, workshop discussions, UAT plans, and change request processes.
Drive follow-ups on open items, decisions, and action items with respective owners.
Support planning and execution of user onboarding, change management, and communication efforts.
Ensure project governance standards are upheld, and documentation is consistently maintained.
Act as a liaison between Vendor PM, IT PM, and internal business stakeholders.
What will you need?
University degree in Business, Information Systems, Computer Science, or related discipline.
6+ years of project delivery experience, with at least 2 full-cycle implementations in digital/data/BI transformation projects.
Proven experience coordinating or managing greenfield technology implementations, ideally with GCP, MicroStrategy, or similar platforms.
Sound understanding of project management methodologies (Agile, Hybrid, or Waterfall), including hands-on experience with Google Workspace tools would be beneficial.
Excellent command of project documentation standards: project charters, status reports, RAID logs, stakeholder maps, and communication plans.
Good communication, facilitation, and stakeholder engagement skills - able to influence across business and technical teams.
Able to operate in a dynamic, cross-functional environment with shifting priorities.
PMP/Prince2/Agile certifications are preferred.
Development opportunities:
Gain hands-on experience in a greenfield implementation of Cloud Data & Analytics platform.
Strengthen knowledge in enterprise data and BI platforms within a digital transformation program.
Build domain understanding in merchandising & sourcing.
Enhance cross-functional coordination skills by working across business, IT, and vendor teams.
Develop exposure to project governance and reporting practices in a multi-stakeholder environment.
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Objectives of this position:

To support the successful delivery of the Data Transparency program, a strategic digital transformation initiative involving the greenfield implementation of Cloud Data & Analytics platform. The role focuses on day-to-day project execution, cross-team coordination, and delivery support from the business side, working alongside IT and vendor project managers to ensure milestones are achieved on time and with quality

What will you do?

The holder of this position will be primarily responsible for the following activities in close coordination with the Business Lead:

• Coordinate and manage the execution of project deliverables, ensuring alignment across business, IT, and vendor teams.

• Maintain and monitor project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), resource trackers, and timelines.

• Support the Project Lead in preparing project updates, dashboards, and materials for senior leadership and the steering committee.

• Facilitate and document business requirements, workshop discussions, UAT plans, and change request processes.

• Drive follow-ups on open items, decisions, and action items with respective owners.

• Support planning and execution of user onboarding, change management, and communication efforts.

• Ensure project governance standards are upheld, and documentation is consistently maintained.

• Act as a liaison between Vendor PM, IT PM, and internal business stakeholders.

What will you need?

University degree in Business, Information Systems, Computer Science, or related discipline.

• 6+ years of project delivery experience, with at least 2 full-cycle implementations in digital/data/BI transformation projects.

• Proven experience coordinating or managing greenfield technology implementations, ideally with GCP, MicroStrategy, or similar platforms.

• Sound understanding of project management methodologies (Agile, Hybrid, or Waterfall), including hands-on experience with Google Workspace tools would be beneficial.

• Excellent command of project documentation standards: project charters, status reports, RAID logs, stakeholder maps, and communication plans.

• Good communication, facilitation, and stakeholder engagement skills - able to influence across business and technical teams.

• Able to operate in a dynamic, cross-functional environment with shifting priorities.

• PMP/Prince2/Agile certifications are preferred.

Development opportunities:

Gain hands-on experience in a greenfield implementation of Cloud Data & Analytics platform.

• Strengthen knowledge in enterprise data and BI platforms within a digital transformation program.

• Build domain understanding in merchandising & sourcing.

• Enhance cross-functional coordination skills by working across business, IT, and vendor teams.

• Develop exposure to project governance and reporting practices in a multi-stakeholder environment.

Objectives of this position:

To support the successful delivery of the Data Transparency program, a strategic digital transformation initiative involving the greenfield implementation of Cloud Data & Analytics platform. The role focuses on day-to-day project execution, cross-team coordination, and delivery support from the business side, working alongside IT and vendor project managers to ensure milestones are achieved on time and with quality

What will you do?

The holder of this position will be primarily responsible for the following activities in close coordination with the Business Lead:

• Coordinate and manage the execution of project deliverables, ensuring alignment across business, IT, and vendor teams.

• Maintain and monitor project plans, RAID logs (Risks, Assumptions, Issues, Dependencies), resource trackers, and timelines.

• Support the Project Lead in preparing project updates, dashboards, and materials for senior leadership and the steering committee.

• Facilitate and document business requirements, workshop discussions, UAT plans, and change request processes.

• Drive follow-ups on open items, decisions, and action items with respective owners.

• Support planning and execution of user onboarding, change management, and communication efforts.

• Ensure project governance standards are upheld, and documentation is consistently maintained.

• Act as a liaison between Vendor PM, IT PM, and internal business stakeholders.

What will you need?

University degree in Business, Information Systems, Computer Science, or related discipline.

• 6+ years of project delivery experience, with at least 2 full-cycle implementations in digital/data/BI transformation projects.

• Proven experience coordinating or managing greenfield technology implementations, ideally with GCP, MicroStrategy, or similar platforms.

• Sound understanding of project management methodologies (Agile, Hybrid, or Waterfall), including hands-on experience with Google Workspace tools would be beneficial.

• Excellent command of project documentation standards: project charters, status reports, RAID logs, stakeholder maps, and communication plans.

• Good communication, facilitation, and stakeholder engagement skills - able to influence across business and technical teams.

• Able to operate in a dynamic, cross-functional environment with shifting priorities.

• PMP/Prince2/Agile certifications are preferred.

Development opportunities:

Gain hands-on experience in a greenfield implementation of Cloud Data & Analytics platform.

• Strengthen knowledge in enterprise data and BI platforms within a digital transformation program.

• Build domain understanding in merchandising & sourcing.

• Enhance cross-functional coordination skills by working across business, IT, and vendor teams.

• Develop exposure to project governance and reporting practices in a multi-stakeholder environment.

Line of Service

Advisory

Industry/Sector

Not Applicable

Specialism

Technology Strategy

Management Level

Director

Job Description & Summary

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We're a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at

PwC Southeast Asia Consulting helps businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation, and leverage talent.

Our aim is to support businesses in designing, managing and executing lasting beneficial changes. Our practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution.

Join the dynamic team at PwC Southeast Asia Consulting (SEAC) as the AI and Data Transformation Sales Lead. This role is pivotal in driving AI consulting s ales and technical s olutions to priority clients across the region. The ideal candidate will combine technical acumen with strategic business insights to advise on the best data management, governance, storage, a nd transformation for successful AI integration across diverse industries.

About the R ole

• Strategic Client Collaboration: Collaborate with clients to align their business strategies with data-driven insights, ensuring that data science initiatives drive measurable business outcomes.

• Expertise-Driven Insight Delivery: Leverage deep expertise in data science and machine learning to deliver strategic business insights that facilitate successful integration of AI across diverse industries. Lead data readiness assessments and solution blueprinting, driving complex data analytics initiatives and cloud computing solutions.

• Client Engagement and Confidence Building: Act as a key liaison during client engagements and strategic negotiations, offering expert guidance and building confidence in the organisation's data science capabilities. Demonstrate a strong capability to help clients navigate their data investments with clarity, trust, and a focus on measurable returns.

• Technical-Functional Solutioning : Experience of Applied AI and Technicality in AI (Traditional ML and GenAI ) and driving Solution Architecture .

• Technical-Functional Communication. Making presentations to client leadership teams clearly articulating how the proposed solutions address either business problems or value creation. This role acts as an im portant i nterface between client / business leadership as well as technical / engineering leadership .

• Growth and Opportunity Development: Drive the growth of data science initiatives by identifying new opportunities, shaping data solutions, and securing high-value client engagements.

• Team Leadership and Strategic Partnerships: Lead cross-functional teams to deliver innovative data solutions that align with business goals, fostering long-term partnerships and contributing to revenue expansion through trusted advisory and thought leadership.

About You

Qualifications:

• Academic Background: Bachelor's degree in Computer Science , Data Science, Engineering, Business, or a related field. Advanced degrees (Master's, PhD) in AI, Machine Learning, or Business Administration are preferred.

• Certifications: Desirable certifications in AI/ML and project management.

Professional Experience and Skills:

• Experience: Over 10 years of progressive experience in data science and advanced analytics, showcasing leadership in enterprise environments.

• Technical Expertise: Deep knowledge in data science and machine learning methodologies, including statistical modelling, predictive analytics, and data mining for impactful project implementation. Experience in driving solutions architecture.

• Strategic Implementation: Demonstrated ability to develop and execute data science strategies, delivering innovative solutions to address industry-specific challenges.

Communication and Leadership:

• Stakeholder Engagement: Exceptional ability to articulate complex data science concepts to both technical and non-technical audiences, influencing and engaging C-level stakeholders in data-driven transformations.

• Commercial Acumen: Strong record of client trust building, strategic engagements, and contributing to revenue growth, with a history of achieving sales targets and client success.

• Team Leadership: Proven experience in leading cross-functional teams, mentoring data science talent, and fostering innovation through collaboration.

Ethics and Industry Knowledge:

• Ethical Practice: Familiar with ethical data frameworks and responsible data practices, ensuring alignment with societal standards and emerging trends in AI.

• Industry Insight: Desirable knowledge of financial services industry , including core banking architecture, lending, KYC, and compliance, to enhance industry-specific solutions.

Education (if blank, degree and/or field of study not specified)

Degrees/Field of Study required:Degrees/Field of Study preferred: Bachelor Degree

Certifications (if blank, certifications not specified)

Required Skills

Advanced Analytics, Business Development, Commercial Acumen, Data Science, Data Transformation, Generative AI, Machine Learning, Platform Evangelism, Stakeholder Management, Transformational Change, Transformation Design

Optional Skills

Accepting Feedback, Accepting Feedback, Active Listening, Analytical Reasoning, Analytical Thinking, Application Software, Business Data Analytics, Business Management, Business Technology, Business Transformation, Coaching and Feedback, Communication, Creativity, Documentation Development, Embracing Change, Emotional Regulation, Empathy, Implementation Research, Implementation Support, Implementing Technology, Inclusion, Influence, Innovation, Intellectual Curiosity, Learning Agility {+ 28 more}

Desired Languages (If blank, desired languages not specified)

Travel Requirements

Not Specified

Available for Work Visa Sponsorship?

Yes

Government Clearance Required?

Yes

Job Posting End Date

At PwC, we help clients build trust and reinvent so they can turn complexity into competitive advantage. We’re a tech-forward, people-empowered network with more than 370,000 people in 149 countries. Across audit and assurance, tax and legal, deals and consulting we help clients build, accelerate and sustain momentum. Find out more at 

PwC Southeast Asia Consulting helps businesses to work smarter and grow faster. We partner with our clients to build effective organisations, innovate and grow, reduce costs, manage risk and regulation, and leverage talent.

Our aim is to support businesses in designing, managing and executing lasting beneficial changes. Our practice provides a comprehensive range of professional services and experience to deliver large scale, cross territory transformation projects, wherever our clients need us to be – from strategy through to execution.

Join the dynamic team at PwC Southeast Asia Consulting (SEAC) as the AI and Data Transformation Sales Lead. This role is pivotal in driving AI consulting sales and technical solutions to priority clients across the region. The ideal candidate will combine technical acumen with strategic business insights to advise on the best data management, governance, storage, and transformation for successful AI integration across diverse industries.

About the Role

• Strategic Client Collaboration: Collaborate with clients to align their business strategies with data-driven insights, ensuring that data science initiatives drive measurable business outcomes.
• Expertise-Driven Insight Delivery: Leverage deep expertise in data science and machine learning to deliver strategic business insights that facilitate successful integration of AI across diverse industries. Lead data readiness assessments and solution blueprinting, driving complex data analytics initiatives and cloud computing solutions.
• Client Engagement and Confidence Building: Act as a key liaison during client engagements and strategic negotiations, offering expert guidance and building confidence in the organisation’s data science capabilities. Demonstrate a strong capability to help clients navigate their data investments with clarity, trust, and a focus on measurable returns.
• Technical-Functional Solutioning: Experience of Applied AI and Technicality in AI (Traditional ML and GenAI) and driving Solution Architecture.
• Technical-Functional Communication. Making presentations to client leadership teams clearly articulating how the proposed solutions address either business problems or value creation. This role acts as an important interface between client / business leadership as well as technical / engineering leadership.
• Growth and Opportunity Development: Drive the growth of data science initiatives by identifying new opportunities, shaping data solutions, and securing high-value client engagements.
• Team Leadership and Strategic Partnerships: Lead cross-functional teams to deliver innovative data solutions that align with business goals, fostering long-term partnerships and contributing to revenue expansion through trusted advisory and thought leadership.

About You

Qualifications:

• Academic Background: Bachelor's degree in Computer Science, Data Science, Engineering, Business, or a related field. Advanced degrees (Master's, PhD) in AI, Machine Learning, or Business Administration are preferred.
• Certifications: Desirable certifications in AI/ML and project management.

Professional Experience and Skills:

• Experience: Over 10 years of progressive experience in data science and advanced analytics, showcasing leadership in enterprise environments.
• Technical Expertise: Deep knowledge in data science and machine learning methodologies, including statistical modelling, predictive analytics, and data mining for impactful project implementation. Experience in driving solutions architecture.
• Strategic Implementation: Demonstrated ability to develop and execute data science strategies, delivering innovative solutions to address industry-specific challenges.

Communication and Leadership:

• Stakeholder Engagement: Exceptional ability to articulate complex data science concepts to both technical and non-technical audiences, influencing and engaging C-level stakeholders in data-driven transformations.
• Commercial Acumen: Strong record of client trust building, strategic engagements, and contributing to revenue growth, with a history of achieving sales targets and client success.
• Team Leadership: Proven experience in leading cross-functional teams, mentoring data science talent, and fostering innovation through collaboration.

Ethics and Industry Knowledge:

• Ethical Practice: Familiar with ethical data frameworks and responsible data practices, ensuring alignment with societal standards and emerging trends in AI.
• Industry Insight: Desirable knowledge of financial services industry, including core banking architecture, lending, KYC, and compliance, to enhance industry-specific solutions.

Key Responsibilities

• Support the data transformation project by gathering, analyzing, and documenting business and technical requirements.
• Work closely with project managers, data engineers, and stakeholders to translate business needs into actionable data solutions.
• Assist in mapping data sources, data flows, and transformation logic between legacy and new systems.
• Perform data validation, reconciliation, and ensure data accuracy throughout the transformation process.
• Prepare and maintain business process documentation, data dictionaries, and related project artefacts.
• Participate in workshops, meetings, and testing activities to ensure requirements are properly implemented.
• Support ad-hoc reporting, dashboard preparation, and performance tracking as required.
• Collaborate with cross-functional teams across IT and business units to support delivery of project milestones.

Key Requirements

• Bachelor’s degree in Information Systems, Computer Science, Business, or related field.
• Around 2 years of experience as a Business Analyst, ideally within data-related or IT transformation projects.
• Strong understanding of data concepts — data mapping, data migration, data quality, and transformation processes.
• Hands-on experience with Excel, SQL, or other data analysis tools.
• Good to have exposure to cloud platforms (AWS preferred) or any related data services.
• Strong analytical and problem-solving skills with high attention to detail.
• Good communication and stakeholder management skills.
• Able to work independently in a fast-paced, project-based environment.

Help us get ahead of disease together with our Smart Manufacturing Internship, 2026:
Education required:
Undergraduate studying a Bachelor's Degree from an accredited college/university, preferably from relevant Engineering or Sciences courses of study

Other requirements:
Must be enrolled at a SG university for the duration of your internship and doing a full-time credit-bearing internship

Language requirement:
Written and spoken fluency in English

Internship period
: January to June 2026

Application deadline:
As applications will be reviewed on a rolling basis, we recommend applying as soon as possible for your application to be considered. This vacancy will be closed once we have enough applications for consideration.

Are you
looking to gain valuable world work experience and help to positively impact the health of billions of people?
Apply for a GSK Internship today
A GSK internship offers you the opportunity to kickstart your career – to take on a real role with genuine impact You'll take on challenging, serious work on live projects or assignments. You'll also get to learn from us, develop your skills and gain valuable experience for wherever the future takes you.

What will you do?
Automation and digital solutions are deployed by first intent to optimize, transform or reinvent the ways of working, and allow the pharmaceutical manufacturing site to deliver new modalities and medicines to patients across the world in a reliable, effective, and sustainable manner. This will include developing a culture of right-first time and zero defects across the value chain, optimizing production, factory data integration, proactive scheduling, and data-centric operations. Operational excellence principles are applied to a process prior to introduction of digitalization and automation to ensure optimal delivery of business value.

In this internship, you will be supporting the engineers, chemists and data scientists working on deploying smart manufacturing projects such advanced manufacturing data intelligence and execution systems on site. You will help with the collection, extraction, analysis, validation and visualization of business and process data (e.g. distributed control system recipe), and establish requirements for process workflow improvements. You will also apply operation excellence thinking and support business change processes prior to deployment of new technologies and platforms. You will also utilize low code programming to develop connected worker applications, data visualization and robotic process automation or generative AI. You will be using solutions such as MS Power Platform, BI or other dashboarding tools to develop new dashboards and visualization of business and process data.

Project deliverables

• Collection, extraction, analysis, validation and visualization of business and process data, including sustainability, engineering, manufacturing and material flow.
• Support business change processes prior to deployment of new technologies and platforms
• Create and deploy new performance dashboards and visualization

Management Skills:
You will also be given a chance to lead / assist the engineers, chemists, data scientists or project managers in the following:

• Project management of a use case or digital application project
• Prepare communication materials such as slides, videos for change management
• Organize communication sessions with the site users
• Join and lead / participate in company social events e.g. Environmental Sustainability or Social Welfare related

What will you learn?

• Learn about Pharmaceutical Primary Manufacturing and the use of automation, digitalization and data analytics to deliver business value
• Acquire knowledge on the cross-functional interconnectivity across operational, engineering, MSAT and quality functions to deliver the new technology solutions
• Immersed in business analysis, site activities and change management
• Apply your knowledge of analytics, critical thinking and develop operational excellence thinking and soft skills in engaging different stakeholders from shopfloor to senior management to deliver a project

What are we looking for?

• Strong written and oral communications skills
• Excellent English proficiency
• A keen interest in production
• Meticulous, organized, and dedicated
• Understanding and experience in using Python and SQL
• Knowledge of other languages such as Visual Basic, Javascript will be beneficial

What do we offer you?

• Understand and experience the GSK Culture
• Work with a diversified team of professionals
• Implement technical knowledge and skills that you have acquired at school
• Apply and develop soft skills such as interpersonal, communications and negotiation skills
• Transport to and from site to MRT stations in centralised locations across Singapore

Let's do this
You'll find hints, tips and guidance on our recruitment process on our website.

Learn more about the application process:

You can learn more about GSK and our careers here

Apply now
Need help with your application?
Please email us at

and let us know how we can help you.

Why GSK?
Uniting science, technology and talent to get ahead of disease together.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organisation where people can thrive. We prevent and treat disease with vaccines, specialty and general medicines. We focus on the science of the immune system and the use of new platform and data technologies, investing in four core therapeutic areas (infectious diseases, HIV, respiratory/ immunology and oncology).

Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it's also about making GSK a place where people can thrive. We want GSK to be a place where people feel inspired, encouraged and challenged to be the best they can be. A place where they can be themselves – feeling welcome, valued, and included. Where they can keep growing and look after their wellbeing. So, if you share our ambition, join us at this exciting moment in our journey to get Ahead Together.

Important notice to Employment businesses/ Agencies
GSK does not accept referrals from employment businesses and/or employment agencies in respect of the vacancies posted on this site. All employment businesses/agencies are required to contact GSK's commercial and general procurement/human resources department to obtain prior written authorization before referring any candidates to GSK. The obtaining of prior written authorization is a condition precedent to any agreement (verbal or written) between the employment business/ agency and GSK. In the absence of such written authorization being obtained any actions undertaken by the employment business/agency shall be deemed to have been performed without the consent or contractual agreement of GSK. GSK shall therefore not be liable for any fees arising from such actions or any fees arising from any referrals by employment businesses/agencies in respect of the vacancies posted on this site.

About Capgemini Invent
At Capgemini Invent, we believe difference drives change. As inventive transformation consultants, we blend our strategic, creative and scientific capabilities, collaborating closely with clients to deliver cutting‐edge solutions. Join us to drive transformation tailored to our client’s challenges of today and tomorrow, informed and validated by science and data, superpowered by creativity, design and purpose‐driven technology.
Your Role
We are seeking a bold, visionary leader to drive large‐scale enterprise data and AI transformations across Southeast Asia. As a Director, you will shape the future of data‐driven enterprises by leading with creativity, purpose, and commercial acumen, architecting transformative journeys for our clients grounded in deep business understanding and purposeful technology.
Own and grow a multi‐million‐dollar consulting portfolio across Southeast Asia.
Lead the shaping and selling of strategic data and AI transformation deals—working closely with CxOs and client sponsors.
Translate client ambitions into compelling value propositions underpinned by scalable data platforms and AI‐powered operating models.
Build lasting executive relationships that position us as the trusted advisor for transformation.
Architect and lead large‐scale digital and data transformation programmes that align data, AI, and business reinvention.
Guide clients in designing data‐driven organisations, embedding AI capabilities into their core, and unlocking new sources of value.
Connect strategy to execution—mobilising cross‐functional teams to deliver impactful, agile outcomes.
Develop go‐to‐market strategies, campaign content, and IP for offerings around data strategy, AI operating models, and GenAI‐enabled transformation.
Represent the firm in industry forums and client events, becoming a thought leader in data‐driven transformation.
Build and mentor high‐performing, diverse consulting teams with a growth mindset and entrepreneurial spirit.
Create a culture of continuous learning and innovation, ensuring we remain ahead of market trends.
Your Profile
Proven track record in consulting, with 15+ years of experience in enterprise transformation, data strategy, or AI‐enabled innovation.
Commercial leadership: Success in shaping, selling, and delivering large‐scale consulting deals (USD multi‐million), with clear value delivered to clients.
CXO engagement: Deep experience engaging senior stakeholders across industries, with strong storytelling, influence, and negotiation skills.
Transformation expertise: Comfort navigating across strategy, design, and delivery—simplicity and business‐oriented outcomes.
Innovation mindset: Passion for applying emerging technologies (e.g., Generative AI, data platforms, automation) to solve business problems creatively.
It Would Be a Bonus If You Have
Familiarity with enterprise data ecosystems (e.g., Snowflake, Databricks, Microsoft Fabric) and AI platforms.
Exposure to regulated industries (e.g., financial services, healthcare, public sector).
Regional experience across Southeast Asian markets.
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