AI And Data Transformation Sales Lead
PWC (Global)
AI And Data Transformation Sales Lead
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 www.pwc.com. PwC Southeast Asia Consulting helps businesses to work smarter and grow faster. We partner with our clients to build effective organizations, 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 organization'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 modeling, 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.