Hybrid AI Vendor Relations Lead

Oliver Wyman; Mexico; Hybrid; PHP 5,625,000 - 8,125,000; Full time

Job summary

Oliver Wyman is seeking an AI Vendor Relationship Manager to oversee the day-to-day relationship with strategic AI vendors and translate vendor developments into practical implications for product strategy, activation, governance, and delivery. Ideal candidates bring experience in technology project management, vendor relations, and cross-functional collaboration.

You will work within the Quotient Inside PMO to coordinate governance, reporting, and coordination across enterprise AI programs,

Qualifications

• 6–9+ years of experience in technology project management, business relationship management, vendor management, product operations, programme management, digital transformation, AI enablement, or a related field.
• Comfort partnering with product teams and working across business, AI vendor, and technology stakeholders to translate between perspectives.
• Strong AI vendor relationship management skills, with the ability to keep conversations structured, actions visible, and issues moving toward resolution.
• Ability to synthesize product and operational updates into clear implications, trade-offs, and next steps.
• Strong cross-team communication, stakeholder management, judgement, escalation, and follow-through skills.
• Fluency in business English and strong proficiency with PowerPoint, Excel, collaboration platforms, and modern productivity tools.
• Commercial awareness and lifecycle coordination skills, including comfort tracking vendor commitments, performance indicators, renewal considerations, and value realization opportunities.

Responsibilities

• Coordinate the full AI vendor lifecycle, including evaluation, onboarding, launch readiness, ongoing operations, expansion, renewal, migration, and retirement, ensuring business, technical, governance, and colleague impacts are managed throughout.
• Create a clear operating rhythm for strategic AI vendor relationships, ensuring actions, risks, decisions, and follow-ups are visible and managed.
• Partner closely with product strategy teams to understand which AI vendor capabilities, roadmap updates, or constraints may affect priorities, pilots, or rollout decisions.
• Help activation teams translate AI vendor and product changes into practical implications for user communications, training, adoption planning, and feedback loops.
• Support the team’s management with concise, decision-ready updates on AI vendor-related risks, dependencies, open questions, and escalation needs.
• Manage regular AI vendor meetings, agendas, notes, action trackers, decision logs, and follow-ups.
• Track AI vendor roadmaps, releases, service updates, issues, and upcoming changes.
• Summarize AI vendor and product updates for product teams, activation, PMO, technology, risk, legal, procurement, and leadership audiences.
• Coordinate internal inputs where AI vendor decisions require review, alignment, or escalation.
• Maintain documentation and improve ways of working for AI vendor governance and knowledge sharing.
• Prepare vendor performance inputs, QBR materials, renewal-readiness summaries, and concise leadership updates on value, risks, dependencies, and recommended actions.
• Plan and coordinate vendor capability retirements, ensuring clear communications, migration planning, documentation updates, and stakeholder alignment across Product, Technology, Activation, and Governance.

Skills

PowerPoint

Excel

Collaboration platforms

Vendor management

Project management

Business English

Tools

PowerPoint

Excel

Collaboration platforms

Job description

Oliver Wyman is seeking an AI Vendor Relationship Manager to oversee the day-to-day relationship with strategic AI vendors and translate vendor developments into practical implications for product strategy, activation, governance, and delivery. Ideal candidates bring experience in technology project management, vendor relations, and cross-functional collaboration.

You will work within the Quotient Inside PMO to coordinate governance, reporting, and coordination across enterprise AI programs,