AVP, Data Analytics & Business Intelligence, APAC

Role Summary and Impact 

We're on a mission to democratize AI across our analytics team, and we need a trailblazing leader to helm this effort. As the Data Analytics and BI lead, you'll develop and execute a strategy to enable our analytics team members with AI capabilities, empowering them to drive business growth and deliver exceptional client value.

Skills and Experience 

What you will do:

• Develop AI enablement strategy: Create a comprehensive plan to upskill and reskill our analytics team members with AI capabilities, aligning with business goals and objectives.
• Design and deliver AI training programs: Collaborate with internal stakeholders to design and deliver training programs that cover AI fundamentals, machine learning, and data science.
• Develop AI-powered tools and platforms: Lead the development of AI-powered tools and platforms that augment our analytics team's capabilities, driving efficiency, accuracy, and innovation.
• Foster a culture of AI adoption: Collaborate with cross-functional teams to promote AI adoption, provide guidance on AI best practices, and ensure seamless integration with existing workflows.
• Stay ahead of AI trends and advancements: Participate in industry conferences, research papers, and forums to maintain expertise and identify opportunities for innovation.

Role requirements:

• Education: Master's or Ph.D. in Computer Science, Artificial Intelligence, Machine Learning, or related field.
• Experience: 10+ years of experience in AI engineering, with 5+ years in a leadership role.
• Technical expertise: Strong background in AI, machine learning, and software engineering, with experience in languages such as Python, Java, or C++.
• Knowledge of cloud-based AI platforms: Experience with cloud-based AI platforms such as Google Cloud AI Platform, Amazon SageMaker, or Microsoft Azure Machine Learning.
• Leadership skills: Proven track record of leading high-performing teams, with excellent communication, mentoring, and project management skills.
• Business acumen: Understanding of business operations, market trends, and the media industry.

Nice to have:

• Experience with media analytics: Familiarity with media measurement, data analytics, and advertising technology.
• Certifications in AI or machine learning: Certifications such as Certified Data Scientist or Certified Machine Learning Engineer.

Life at WPP Media & Benefits 

Our passion for shaping the next era of media includes investing in our employees to help them do their best work, and we’re just as committed to employee growth as we are to responsible media investment. WPP Media employees can tap into the global WPP Media & WPP networks to pursue their passions, grow their networks, and learn at the cutting edge of marketing and advertising. We have a variety of employee resource groups and host frequent in-office events showcasing team wins, sharing thought leadership, and celebrating holidays and milestone events. Our benefits include competitive medical, group retirement plans, vision, and dental insurance, significant paid time off, preferential partner discounts, and employee mental health awareness days.   

WPP Media is an equal opportunity employer and considers applicants for all positions without discrimination or regard to particular cha