AI and Data Transformation Sales Lead

PwC; Singapore; On-site; SGD 100,000 - 150,000; Full time

Job summary

A leading professional services firm in Singapore is seeking a seasoned data science expert with over 10 years of experience to drive strategic initiatives and client engagement. The role focuses on aligning business strategies with data insights, leveraging advanced machine learning techniques, and leading cross-functional teams to deliver impactful solutions. The ideal candidate possesses a strong background in data science and exceptional communication skills to engage with C-level stakeholders.

Qualifications

• Over 10 years of progressive experience in data science and advanced analytics.
• Deep knowledge in data science and machine learning methodologies.
• Desirable certifications in AI/ML and project management.

Responsibilities

• Collaborate with clients to align business strategies with data-driven insights.
• Leverage expertise in data science and machine learning to deliver insights.
• Lead cross-functional teams to deliver innovative data solutions.

Skills

Data science methodologies

Machine learning

Stakeholder engagement

Strategic implementation

Team leadership

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Business, or related field

Advanced degrees (Master's, PhD) in AI, Machine Learning, or Business Administration

Job description

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.