Oliver Wyman - AI Vendor Relationship Manager - Mexico City
On-siteMexico City, Mexico City, Mexico
Job Summary
Manage the full AI vendor lifecycle, including evaluation, onboarding, launch readiness, ongoing operations, expansion, renewal, migration, and retirement. Coordinate regular vendor meetings, track roadmaps and releases, and summarize updates for product, activation, and leadership teams. Create an operating rhythm for strategic relationships, ensuring actions, risks, and decisions are visible and managed. Partner with product strategy to assess vendor capabilities against firm priorities and help activation teams translate changes into practical implications for adoption. Prepare QBR materials, renewal-readiness summaries, and concise leadership updates on value, risks, and dependencies. Plan capability retirements with clear migration planning and stakeholder alignment across Product, Technology, Activation, and Governance.
Required 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
- Experience supporting vendor onboarding, governance routines, performance reviews, quarterly business reviews, renewals, or commercial decision points
- Experience in consulting, professional services, or another matrixed global environment
- Experience supporting pilots, product launches, user adoption, training, or change management for technology-enabled capabilities
- Practical awareness of responsible AI, data privacy, information security, procurement, legal, or risk review processes
- All Marsh colleagues are expected to be in their local office or working onsite with clients at least three days per week
Desired Qualifications
- Experience with AI, generative AI, SaaS, analytics, knowledge management, enterprise collaboration, or other technology vendors
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