AI Platforms Head (For Pooling)

AI Platforms Head

Office Location: UB Plaza, Pasig, Metro Manila, Philippines (Headquarters)

Employment Type: Full-time

About The Role

The AI Platforms Head is responsible for defining, shaping, and overseeing the platform foundations that enable the bank’s artificial intelligence capabilities. The role ensures that AI solutions such as Knowledge Assist, SDLC Assistant, Intelligent Document Processing, Agentic Builder, and future Generative AI products are supported by scalable, secure, and well‑architected platforms as they move from incubation to production.

The role leads the definition of platform requirements, vendor and technology evaluation, reference architecture design, and platform readiness standards in coordination with the AI Center of Excellence, Data & AI Architecture, Information Security, Risk, Compliance, and Technology teams. It serves as the principal technical voice of the AI Center of Excellence on platform decisions and provides strategic input to the Head of AI CoE on platform roadmap, vendor positioning, portfolio prioritization, and executive communication.

What You’ll Do

• AI Platform Strategy and Architecture
  • Define the platform strategy, roadmap, and technical requirements for enterprise AI and Generative AI capabilities.
  • Design and maintain reference architectures for AI platforms, ensuring alignment with enterprise architecture standards, security requirements, data governance, and technology strategy.
  • Evaluate platform options, vendor capabilities, integration models, scalability, reliability, and production readiness before adoption or deployment.
  • Work with the Data & AI Architecture team to ensure AI platform designs are consistent with enterprise architecture principles and reusable across business use cases.
• Platform Delivery and Production Readiness
  • Shepherd AI platforms and capabilities from incubation to production by defining technical standards, deployment requirements, controls, and readiness criteria.
  • Partner with engineering, data, security, and infrastructure teams to ensure AI platforms are properly integrated, monitored, secured, and supported.
  • Identify platform gaps, technical risks, capacity constraints, and operational dependencies that may affect delivery or scalability.
  • Ensure that AI platforms are designed to support reliability, performance, access control, auditability, explainability, and long‑term maintainability.
• Vendor and Technology Management
  • Lead technical assessment of AI platform vendors, tools, and service providers, including capability fit, cost, integration requirements, security posture, and scalability.
  • Support vendor negotiations by providing technical evaluation, platform comparison, and risk considerations.
  • Maintain strong working relationships with approved vendors and internal stakeholders to address platform concerns, service issues, enhancements, and future capability requirements.
  • Monitor vendor performance and platform commitments to ensure alignment with agreed service levels, security expectations, and bank requirements.
• AI Risk, Security, and Responsible Platform Use
  • Embed responsible AI, security, privacy, and risk controls into AI platform design and implementation.
  • Ensure that AI platforms support required controls such as access management, encryption, monitoring, human oversight, content verification, data protection, and appropriate use of enterprise data.
  • Coordinate with Risk, Compliance, Legal, Information Security, and Data Governance teams to ensure platform adoption is aligned with internal policies and applicable regulatory expectations.
  • Escalate unresolved platform risks, control gaps, or production readiness issues to the appropriate governance forums.
• Governance, Forums, and Executive Reporting
  • Provide technical input and platform updates to AI governance forums, including the Enterprise AI Steering Committee and other related technology or transformation governance bodies.
  • Prepare executive‑level narratives, decision papers, and updates on AI platform roadmap, vendor options, platform risks, and implementation status.
  • Represent the AI Center of Excellence in discussions involving AI platform architecture, vendor positioning, production readiness, and enterprise adoption.
  • Support awareness and enablement activities to help stakeholders understand proper use, limitations, risks, and governance requirements of AI platforms.
• Stakeholder and Portfolio Advisory
  • Act as a trusted technical partner to the Head of AI CoE on platform strategy, AI portfolio planning, vendor selection, and executive communication.
  • Translate business and AI product requirements into platform capabilities, technical options, and implementation considerations.
  • Collaborate with business, technology, risk, and control partners to ensure AI platform decisions support enterprise priorities and are sustainable beyond pilot or proof‑of‑concept stages.
  • Drive continuous improvement of AI platform standards, operating models, and governance practices as the bank’s AI capabilities mature.

What We’re Looking For

• Minimum of 5 years of experience in IT governance, risk management, operations, employee engagement, or performance management, preferably within the banking sector.
• Strong knowledge of banking regulations, compliance requirements, and industry standards.