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AI and Data Transformation Sales Lead Job Opening In Singapore, Singapore – Now Hiring PwC


Job description

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

Required Skill Profession

Other General


  • Job Details

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Are You Looking for AI and Data Transformation Sales Lead Job?

Great news! is currently hiring and seeking a AI and Data Transformation Sales Lead to join their team. Feel free to download the job details.

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The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at PwC adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for AI and Data Transformation Sales Lead Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for AI and Data Transformation Sales Lead?

Key qualifications for AI and Data Transformation Sales Lead typically include Other General and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for AI and Data Transformation Sales Lead Job Success

PwC interview tips for AI and Data Transformation Sales Lead

Here are some tips to help you prepare for and ace your AI and Data Transformation Sales Lead job interview:

Before the Interview:

Research: Learn about the PwC's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your AI and Data Transformation Sales Lead interview at PwC, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the PwC's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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