AI Product Manager: Strategy, Launch & Scale

Chinabank PH

Makati

On-site

PHP 1,800,000 - 3,400,000

Full time

5 days ago

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Job summary

Chinabank PH in Makati seeks an AI Product Manager to identify AI opportunities, shape product strategy, and lead the delivery of AI-powered solutions that improve experiences for customers, employees, and the business. You will collaborate with business leaders, technology teams, data scientists, and vendors to bring innovations from concept to launch.

The role requires translating complex challenges into practical product plans, managing timelines and risks, and ensuring governance, privacy,

Qualifications

Bachelor's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, or a related field.
At least 5 years of product management experience, including exposure to AI or machine learning initiatives.
Experience leading products from concept through launch and optimization.
Strong project management and stakeholder management skills.
Experience working with cross-functional teams such as business units, technology teams, data scientists, and vendors.
Ability to translate complex business or technical challenges into practical product solutions.
Excellent communication, presentation, and relationship-building skills.

Responsibilities

Develop and manage the product strategy, roadmap, and vision for AI-powered solutions.
Identify and prioritize AI opportunities by analyzing business needs, user insights, market trends, and emerging technologies.
Lead the end-to-end product lifecycle, from discovery and prototyping to implementation and continuous improvement.
Work with business, technology, and data teams to translate requirements into clear product plans and solutions.
Manage AI initiatives, timelines, resources, risks, and stakeholder expectations to ensure successful project delivery.
Design and oversee pilots, experiments, and product validation activities to assess feasibility and user adoption.
Monitor product performance and business outcomes, using data to guide enhancements and future investments.
Drive adoption through user engagement, training, communication, and change management activities.
Ensure AI solutions comply with governance, privacy, security, and ethical AI standards.
Build strong relationships with stakeholders and communicate product progress, insights, and recommendations to leadership.