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Jobs in Singapore   »   Jobs in Singapore   »   Information Technology Job   »   Senior Principal Data Analytics
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Senior Principal Data Analytics

Ariston Services Pte. Ltd.

Ariston Services Pte. Ltd. company logo

Role Summary

· Lead and manage Data, and AI Consulting projects from inception to completion, ensuring successful delivery within budget and timeline constraints.

· Collaborate with clients to understand their business goals and challenges and develop AI strategies and roadmaps to address their needs.

· Identify and evaluate Data transformation opportunities within client organisations to enable them to be AI-ready, conducting feasibility studies and assessing potential risks and benefits.

· Provide guidance and mentorship to junior consultants, fostering their professional growth and development in Data, AI and consulting domains.

· Stay up to date with the latest advancements in AI technologies and methodologies, leverage them for client projects and accelerate innovation and growth through the development of service offerings

· Collaborate with cross-functional teams, including data scientists, data engineers, business analysts, and industry experts to ensure seamless integration and implementation of Data transformation solutions enabling organising scale with AI.

· Build and maintain strong relationships with clients, acting as a trusted advisor and thought leader in Data, AI, and Consulting.


Key skills:

· Well-defined strong management consulting experience across Banking- Finance or Telco

· Develop, lead and drive teams to achieve bespoke outcomes.

· Ability to design Operating & Business Models specific to data platforms and emerging industry capabilities - mandatory.

· Experience in leading RFP/Tender responses on a large scale with revenue targets.

· Demonstrated ability in defining and delivering hybrid & multi-cloud strategy/roadmap, migration, and adoption.

· Experience with Cloud domain (AWS, Azure, Google, private cloud providers) which could be led through digital transformation and/or migration projects.

· Understanding of emerging business priorities like Application Portfolio Rationalization, AI, and ML

Technology strategy transformation, “Business of IT” analysis

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