Data Science Director - Visa Consulting and Analytics, Thailand at Visa

Bangkok, , Thailand -

Full Time

Start Date

Immediate

Expiry Date

29 Jan, 26

Salary

0.0

Posted On

31 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Science, AI/ML, Data Analysis, Statistical Modelling, Advanced Analytics, Cloud Platforms, Data Visualization, Consultative Skills, Client-Facing Skills, Team Leadership, Project Management, Communication Skills, Mentoring, Payments Industry Knowledge, Business Strategy, Emerging Technologies

Industry

IT Services and IT Consulting

Description

Company Description Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description Team Description Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The data science team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Job description The individual will be part of VCA’s geographic cluster covering the Singapore, Malaysia, and Thailand (SMT) markets, with primary responsibility for leading data science engagements with Visa’s clients in Thailand. This role combines deep data science expertise with strong domain knowledge, proven ability to build trusted relationships with senior stakeholders and clients, and a solutions‑oriented, consultative approach to delivery — all aimed at driving measurable business impact and supporting revenue growth. Specific Responsibilities include: Collaborate with business leaders, internal stakeholders, consulting teams, and client teams to understand business needs and identify strategic areas where data and AI/ML can deliver strong business impact, in alignment with organizational priorities. Serve as the market linchpin between the local country team and regional data science teams, enhancing the go-to-market approach for delivering Visa data solutions. Design and lead holistic data science initiatives to drive innovation, accelerate new solution launches for Thailand clients, and create offerings aligned with business strategy. Partner with clients to identify opportunities for data-driven solutions and shape strategies aligned with business priorities and industry trends. Act as a trusted advisor, effectively presenting data capabilities and emerging technologies to both technical teams and business decision-makers in a clear and compelling manner. Provide leadership and guidance to data scientists, ensuring successful delivery of Thailand client engagements and high-quality project outcomes. Lead, coach, and develop team members — conducting regular career conversations, providing constructive feedback, and fostering a culture of continuous learning and high performance. Develop and manage project budgets, ensuring effective resource utilization and alignment with financial targets. Qualifications Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Economics, Business Analytics, or a related field 12+ years of demonstrated industry experience in analytics, with a proven track record in delivering end-to-end AI/ML projects across diverse industries, with demonstrated impact on business outcomes Strong proficiency in data analysis, statistical modelling, and advanced analytics techniques; familiarity with cloud platforms (AWS, GCP, Azure) and data visualization tools (Tableau, Power BI, etc.) Understanding of AI/ML concepts, model development, and deployment workflows, with the ability to evaluate and integrate emerging AI tools into business solutions Strong consultative and client-facing skills, with the ability to bridge technical expertise and business value Experience leading cross-functional teams and driving projects/initiatives in collaboration with business stakeholders Executive presence including excellent communication and presentation skills, written and verbal and ability to communicate at all levels within large organizations Collaborative mindset with the ability to mentor and guide junior team members Also Preferred Understand advanced M/L, D/L algorithms, and Generative A.I. Strong understanding of payments and banking Industry including Consumer Credit, Consumer debit, Small Business, Commercial, Co-Brand and Merchant In-market experience and knowledge of local language and culture, regulation and industry trends Travel Requirements This position requires travel 5-10% of the time. Additional Information Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.

Responsibilities

Lead data science engagements with Visa’s clients in Thailand, collaborating with various stakeholders to identify strategic areas for data-driven solutions. Provide leadership and guidance to the data science team, ensuring successful project delivery and high-quality outcomes.