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JobsTrackR is seeking a Director of Data & AI Architecture in Singapore to lead major consulting engagements, shaping technology strategies and delivering practical Data & AI solutions for complex enterprises.
You will work with senior stakeholders across Banking, Insurance, Energy, and Telecommunications, driving transformation and cloud programmes with a strong C-suite focus.
Singapore Permanent
A leading global technology consulting organisation is looking for an experienced Director – Data & AI Architecture to join its growing Singapore practice.
This is a senior leadership opportunity for a technology consulting professional who can operate at the intersection of enterprise architecture, Data & AI, technology strategy and business transformation.
You will work with some of the largest organisations across Banking, Insurance, Energy, Industrial Goods and Telecommunications, helping C-suite stakeholders define and execute their technology transformation agendas.
As a Director, you will take ownership of major consulting engagements and act as a trusted technology advisor to senior client stakeholders.
You will be responsible for shaping technology strategies, leading architecture and transformation programmes and developing practical Data & AI solutions for complex enterprise environments.
Key responsibilities will include:
You will be an established technology consulting leader with a strong track record of advising large enterprises and leading complex transformation programmes.
Ideally, you will bring:
This is an opportunity to take a senior leadership position within a globally recognised technology consulting environment.
You will work on some of the region's most complex Data, AI, Cloud and enterprise transformation programmes, with significant exposure to C-suite stakeholders and the opportunity to shape technology strategies for major organisations.
Location: Singapore
Level: Director
Base Salary: SGD 285,000
Bonus: 60–120%
Additional SEA Payment: Approximately 15% paid annually in December
The process is fully online and typically completed within 2–4 weeks.