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EY GDS Philippines is looking for a dynamic, visionary and highly motivated Associate Director to lead our growing AI & Data team. In this role, you will build and lead a team of experts to deliver cutting-edge AI & Data solutions that transform our customer’s business and accelerate their growth. You will be responsible for shaping the practice’s direction, building client relationships, and ensuring the successful implementation of complex AI and data programs. If you are a strategic thinker with a passion for AI & Data, this is the perfect opportunity to lead and innovate at the forefront of the industry.

Role Description:
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

Additionally,
• 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

Key Skills:
• 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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