Strategy and Operations Manager, Apac Marketing

Google Google · Big Tech · Singapore

This role focuses on leading the AI transformation within the APAC Marketing organization, defining and executing an AI roadmap, integrating AI into campaigns and workflows, and driving AI adoption. It involves piloting and scaling AI use cases, building prototypes, and advocating for AI literacy. The role requires experience in program management, consulting, strategy & operations, and a practical knowledge of AI tools and platforms, with coding skills being preferred.

What you'd actually do

  1. Design and execute a comprehensive, end-to-end AI strategy for APAC Marketing, aligning technology initiatives with overarching regional business and growth objectives.
  2. Pilot and scale high-impact use cases, build prototypes, and scale AI-driven solutions. Advocate for AI literacy across the organization.
  3. Serve as the critical bridge between regional, global and regional teams.
  4. Translate business needs into product strategies, working with leadership to develop and prioritize initiatives, and conduct strategic analysis, optimize business performance, and deliver execution.
  5. Manage workflows within the measurement processes, engaging with stakeholders to ensure timely and accurate delivery of work, and establish/lead processes for managing the area (e.g., goals, annual planning, team meetings, budget, expenses, etc.).

Skills

Required

  • program management
  • consulting
  • strategy & operations
  • project management
  • written/verbal communication
  • presentation skills
  • analytical skills

Nice to have

  • MBA or Master's degree
  • leading AI tools
  • Generative AI platforms
  • enterprise marketing automation systems
  • Python
  • SQL
  • data architecture
  • problem-solving
  • bias to action

What the JD emphasized

  • AI transformation
  • AI roadmap
  • AI adoption
  • AI literacy
  • AI-driven solutions
  • leading AI tools
  • Generative AI platforms
  • enterprise marketing automation systems
  • Coding skills
  • data architecture
  • translating ambiguous business challenges into scalable, data-driven, and AI-powered solutions