Senior Business & Analytics Consultant

About the Company

DataX is the strategic data and AI partner for the SCBx Group — one of Thailand's largest financial technology groups, with businesses spanning retail and corporate banking (SCB), credit cards and personal loans (CardX), title loans (AutoX), loyalty and rewards (PointX), investments (InnovestX), and more.

Our mission is to become the most admired AI-tech company in ASEAN, and we are building the team to get there.

About the Role

As a Senior Business & Analytics Consultant at DataX, you will partner with internal clients across the SCBx portfolio — hunting for high-value analytics and AI opportunities, building the case for them, and owning the projects that bring them to life. The output of your work will be tangible: AI models, ML models, and data-driven tools that directly impact how SCBx businesses acquire customers, manage credit risk, drive loyalty, and make decisions.

This role sits at the intersection of consulting, product ownership, and analytics. You will need the commercial instinct to sell ideas, the analytical sharpness to frame the right problems, and the technical fluency to work with and lead a team of Data Scientists and Analysts — without necessarily building the models yourself. You will be supported by Data Scientists, Data Analysts, and other experts who bring the technical depth, while you bring the business context, shape the product, and ensure the team is building the right thing.

Responsibilities

• Opportunity Identification & Problem Framing — Proactively identify and assess analytics and AI opportunities across SCBx business units, translate them into viable, well-scoped projects, work with Data Scientists to assess technical feasibility, develop business cases and value hypotheses, present recommendations, and agree scope, priorities, and resourcing with internal clients.
• Analytics Product Management & Project Delivery — Own projects end-to-end from kick-off through deployment and adoption with outputs such as AI/ML models or data-driven tools; collaborate with Data Scientists, Data Analysts, and Technology experts; define success metrics and acceptance criteria; manage delivery risks and keep outputs tied to business objectives.
• Stakeholder & Communication — Build and maintain strong relationships with key business stakeholders across SCBx and internally; serve as primary point of contact for assigned projects; translate technical findings into clear business language and communicate progress, findings, and recommendations to technical and non-technical audiences.
• Leadership & Growth — Supervise and mentor junior team members on problem structuring, business case development, and stakeholder engagement; foster a collaborative, high-performance team culture; stay current on analytics, AI, and GenAI trends and identify opportunities to apply emerging capabilities.

Qualifications

• 5+ years of experience in analytics consulting, business consulting, data & analytics, or a related field with exposure to data-driven environments.
• Demonstrated ability to develop business cases, engage senior stakeholders, and drive internal buy-in for analytics or technology initiatives.
• Experience owning and delivering analytics or data projects end-to-end, or in data/analytics product management roles, ideally with outputs such as AI models, ML models, or data-driven tools.
• Strong problem-framing skills — able to take ambiguous business challenges and translate them into clear analytical questions.
• Technical fluency sufficient to direct, challenge, and quality-assure the work of Data Scientists and Analysts; hands-on modelling experience is not required.
• Excellent communication and presentation skills in both Thai and English; able to influence stakeholders at all levels and make complex concepts accessible.
• Track record of operating independently in ambiguous, fast-moving environments with a strong sense of ownership.
• Preferred: Hands-on exposure to machine learning, AI, or GenAI use cases and experience in banking, financial services, fintech, consulting, or data-focused organizations.