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EY GDS Consulting_Data Artificial Intelligence Associate Director 
Philippines, Taguig 
311759095

05.01.2025



This leadership role has multiple dimensions and is a combination of the following:
• Lead and significantly scale up the AI & Data practice of GDS Philippines
• Lead and manage end-to-end AI & Data projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring
• Work with client and internal teams to solution/architect complex /large transformative deals in technology
• Own and anchor key accounts in the region and grow the GDS involvement in large numbers for GDS Consulting.
• Demonstrate thought leadership by active participation in AI & Data forums locally and even globally
• Represent GDS AI & Data team to various stakeholders in the country (e.g. community, educational partners, etc.)
• Collaborate with client facing and internal teams to prepare Point of Views, Position Papers


• Drive skilling programs in current team, including training programs, certifications & POCs.
• Coaching and Mentoring – Coaches Managers, Senior consultants, etc. within structured leadership training programs.
• Should be responsible for grooming next generation leaders, including women leaders
• Budget and Planning - Responsible for preparing budgetary outlay and its management during the budget cycle


• Demonstrate strong consulting experience, in-depth business knowledge in Data Engineering, AI and Automation areas of the business
• Ability to sell and deliver large scale consulting engagements with distributed delivery mindset.
• At least 12 years of experience in data engineering, analytics, or artificial intelligence related modelling in the industry
• A university degree or Master’s degree in statistics, mathematics, computer science, engineering, or a related field
• Proficiency in Python, R, SQL, and other data analysis tools and platforms
• High expertise in next generation technologies such as cloud, big data, AI/ML, etc.
• Strong knowledge of analytical modelling required for fields such as logistics & distribution, inventory management, stock policy, optimization, catalogue health etc.
• Experience in architecting and working on end-to-end analytics project lifecycle, including data acquisition, model development, validation, deployment and monitoring
• Proven leadership skills, having led medium to large scale data teams and practices
• Ability to manage clients and stakeholders effectively and build strong relationships
• Excellent presentation and stakeholder management skills

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