AI & Data Practice Lead - Associate Director

EY

Philippines

On-site

PHP 1,800,000 - 3,000,000

Full time

3 days ago
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Job summary

EY GDS Philippines seeks an Associate Director to lead the AI & Data team, shaping the practice’s direction and building client relationships. You will guide end-to-end AI and data projects, from problem framing to deployment, while managing large client engagements and cross-functional delivery teams.

The role requires a strong background in data engineering, analytics, or AI modelling (12+ years), a relevant university degree, and proven leadership with experience managing stakeholders and

Qualifications

  • 12+ years of experience in data engineering, analytics, or AI modelling in the industry
  • University degree or Master’s in statistics, mathematics, computer science, engineering, or a related field
  • Proficiency in Python, R, SQL, and other data analysis tools and platforms
  • Strong leadership and stakeholder-management skills with experience leading mid-to-large data teams

Responsibilities

  • Lead and significantly scale up the AI & Data practice of GDS Philippines.
  • Own and manage end-to-end AI & Data projects for clients, including problem definition, data acquisition, model development, validation, deployment and monitoring.
  • Solution/architect complex/large transformative deals in technology with client and internal teams.
  • Own key accounts in the region and grow GDS involvement in large numbers for Consulting.
  • Demonstrate thought leadership through participation in AI & Data forums locally and globally.

Skills

AI leadership
Project management
Data engineering
Python/SQL
Client relationship

Education

Bachelor/Master in data science or related field

Job description

EY GDS Philippines seeks an Associate Director to lead the AI & Data team, shaping the practice’s direction and building client relationships. You will guide end-to-end AI and data projects, from problem framing to deployment, while managing large client engagements and cross-functional delivery teams.

The role requires a strong background in data engineering, analytics, or AI modelling (12+ years), a relevant university degree, and proven leadership with experience managing stakeholders and

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