Strategy Head

Michael Page; Philippines; On-site; PHP 669,600 - 892,800; Full time

Benefits offered by this job

Competitive compensation package

Career development opportunities

Hybrid and flexible working environment

Job summary

Michael Page is seeking a Deployment Strategist in the Philippines to lead the implementation of AI-powered solutions for enterprise clients. This role entails overseeing projects from concept through production deployment, ensuring measurable outcomes.

The ideal candidate will have 2-5 years of experience in project delivery and possesses strong analytical and communication skills. Attractive benefits include a competitive compensation package and a hybrid working environment.

Qualifications

• 2-5 years of experience in management consulting or project delivery.
• Experience leading complex, cross-functional initiatives.
• Ability to understand technical concepts including APIs and data flows.

Responsibilities

• Lead end-to-end delivery of AI platform implementations.
• Define project scope, requirements, and success metrics.
• Coordinate cross-functional teams and manage project timelines.

Skills

Analytical thinking

Project management

Stakeholder management

Problem-solving

Excellent communication

Education

Bachelor's degree in a technical, engineering, business, or quantitative discipline

Job description

• Shape enterprise AI deployments with leading global organizations
• High ownership role bridging strategy, technology, and execution

About Our Client

Our client is a rapidly growing AI technology company helping enterprises deploy intelligent automation and AI‑powered solutions at scale. They partner with organizations to transform business processes through cutting‑edge AI applications, delivering measurable operational and commercial impact. Operating in a fast‑paced and innovation‑driven environment, the company offers exceptional exposure to enterprise transformation initiatives and emerging technologies.

Job Description

As a Deployment Strategist, you will lead the successful implementation of AI‑powered solutions for enterprise clients, ensuring projects move from concept through production deployment with measurable outcomes.

Key Responsibilities

• Lead end‑to‑end delivery of AI platform implementations and enterprise deployments
• Define project scope, requirements, success metrics, and implementation roadmaps
• Coordinate cross‑functional teams across Product, Engineering, and customer stakeholders
• Manage project timelines, risks, dependencies, and issue resolution
• Support integrations, testing, deployment, and operational readiness activities
• Monitor solution performance and identify opportunities for optimization
• Drive customer adoption and expansion of AI use cases across organizations
• Serve as a trusted advisor throughout the deployment lifecycle

The Successful Applicant

The ideal candidate combines strong analytical thinking, structured problem‑solving, and project delivery capabilities with the ability to engage senior stakeholders.

You will likely possess:

• 2‑5 years of experience in management consulting, project delivery, digital transformation, enterprise technology, or a high‑growth startup environment
• Strong project management and stakeholder management capabilities
• Experience leading complex, cross‑functional initiatives from planning to execution
• Ability to understand technical concepts including APIs, integrations, data flows, and enterprise systems
• Excellent communication and client‑facing skills
• Strong problem‑solving and analytical capabilities
• Self‑starter mentality with a proactive and execution‑oriented approach
• Bachelor's degree in a technical, engineering, business, or quantitative discipline

Benefits

• Opportunity to work at the forefront of enterprise AI adoption
• Significant ownership and client‑facing responsibility from day one
• Exposure to senior executives and strategic transformation initiatives
• Collaborative, high‑performance, and entrepreneurial culture
• Fast‑paced environment with strong learning and career development opportunities
• Opportunity to influence how leading organizations leverage AI at scale
• Competitive compensation package with long‑term growth potential
• Hybrid and flexible working environment depending on business needs