
Description:
Director AI & Data Strategy
Location: Singapore / Southeast Asia
Function: Artificial Intelligence, Data, Analytics & Strategy
Role Summary
We are looking for a senior AI and Data Strategy leader to help enterprises across Southeast Asia unlock measurable business value from Artificial Intelligence, Advanced Analytics and Data-led transformation.
This role sits at the intersection of strategy, technology and business transformation. The person will work closely with C-suite leaders to define AI strategy, build responsible AI adoption roadmaps, design data and AI operating models, and lead large-scale transformation programs across industries.
The ideal candidate should bring strong consulting experience, deep understanding of AI/ML and data ecosystems, and the ability to translate complex technology into practical business outcomes.
Key Responsibilities
- Lead AI and Data strategy engagements for enterprise clients across Southeast Asia and APAC.
- Partner with CXOs and senior business leaders to identify AI-led growth, productivity and transformation opportunities.
- Assess clients data and AI maturity, current technology landscape, governance structure and organisational readiness.
- Define enterprise AI strategy, GenAI adoption roadmap, responsible AI framework and AI operating model.
- Lead business case development, value identification and prioritisation of AI/ML, analytics and automation use cases.
- Work with cross-functional teams across strategy, technology, data engineering, cloud, risk and industry practices to design scalable solutions.
- Guide clients on data governance, model governance, AI ethics, security, privacy, lineage and regulatory considerations.
- Drive large-scale AI transformation programs from strategy through execution, including pilots, MVPs and enterprise rollouts.
- Contribute to business development through proposals, client conversations, market POVs, thought leadership and ecosystem partnerships.
- Build and mentor consulting teams across AI strategy, analytics, data governance and intelligent automation.
- Represent the firm in client workshops, industry forums and leadership discussions on AI adoption and digital transformation.
Ideal Candidate Profile
- 1015+ years of experience in management consulting, AI strategy, data analytics, digital transformation or technology advisory.
- Strong experience working with enterprise clients across sectors such as financial services, telecom, consumer, healthcare, public sector, energy or technology.
- Demonstrated understanding of AI, GenAI, machine learning, advanced analytics, data platforms, cloud ecosystems and intelligent automation.
- Ability to connect business strategy with technology execution.
- Experience in designing AI operating models, data governance frameworks, responsible AI policies and transformation roadmaps.
- Strong C-suite stakeholder management and consultative selling skills.
- Prior experience in a Big 4, strategy consulting firm, technology consulting firm, AI/data-led organisation or enterprise transformation environment.
- Strong communication skills with the ability to simplify complex AI concepts for business leaders.
- Experience leading teams, managing delivery and owning client outcomes.
- MBA or Masters degree in Business, Computer Science, Data Science, Engineering, Information Systems or related field preferred.
Good to Have
- Experience in Southeast Asia / APAC markets.
- Exposure to cloud platforms such as AWS, Azure or GCP.
- Familiarity with platforms such as Databricks, Snowflake, Palantir, Dataiku, Alteryx, Power BI, Tableau or similar.
- Understanding of AI governance, model risk, regulatory requirements and responsible AI frameworks.
- Experience with GenAI, agentic AI, LLM-based solutions or enterprise AI productisation.
- Published thought leadership, public speaking experience or strong external market presence in AI/Data.
Success Measures
- Growth of AI and Data consulting pipeline across SEA.
- High-quality delivery of strategic AI transformation programs.
- Trusted advisor relationships with senior client stakeholders.
- Clear business value delivered through AI, analytics and automation initiatives.
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