Manager, Client Success and Operations, Global Health
Lima · Posted 3MO AGO
Key Responsibilities
1. Lead Large-Scale Project Execution & AI Deployment
- Lead the end-to-end execution of countrywide AI projects across LATAM, ensuring timely implementation, effective adoption, and high client satisfaction.
- Coordinate closely with government bodies, Ministries of Health, healthcare institutions, national programs, on-ground teams, and global health organizations to enable large-scale AI deployment.
- Drive project governance, stakeholder alignment, risk management, and resolution of operational challenges throughout the project lifecycle.
- Travel internationally and domestically as required to support project implementation, stakeholder engagement, and program delivery.
2. Own Client Success & Stakeholder Relationships
- Serve as the primary point of contact for key clients, owning the overall client experience from implementation through post-deployment engagement.
- Build and maintain strong relationships with senior stakeholders, including Ministries of Health, National Programs, program heads, IT teams, clinical decision-makers, and implementation partners.
- Drive client satisfaction, product adoption, retention, and long-term engagement by proactively understanding stakeholder needs and addressing challenges.
- Establish structured feedback mechanisms to capture client requirements, outcomes, and opportunities for improvement.
3. Drive Account Growth & Commercial Expansion
- Identify and develop new opportunities within existing accounts by understanding evolving client needs and exploring additional use cases for Qure.ai’s solutions.
- Partner with Sales to drive upselling, cross-selling, renewals, and account expansion opportunities.
- Develop strategic account plans focused on increasing client lifetime value and strengthening long-term partnerships.
- Identify opportunities to scale successful deployments across geographies, programs, facilities, and use cases.
4. Monitor Product Performance & Drive Continuous Improvement
- Monitor product performance and adoption across client environments and identify operational, technical, and clinical gaps.
- Capture structured technical feedback, edge cases, and client requirements and translate them into actionable inputs for Product and Engineering teams.
- Collaborate with Product, Engineering, and Clinical teams to improve AI accuracy, solution performance, workflows, and overall user experience.
- Contribute to product roadmap discussions by representing client needs and real-world deployment insights.
5. Cross-Functional Project & Issue Management
- Work closely with Engineering, Product, Sales, Clinical, and Operations teams to address client requirements and resolve project or technical challenges.
- Coordinate across internal and external teams to ensure timely delivery of commitments and maintain clear ownership of action items.
- Act as the bridge between client teams and Qure.ai’s internal functions, ensuring effective communication, prioritization, and resolution.
6. Generate Marketing, Research & Impact Outcomes
- Identify and document measurable outcomes from AI deployments, including adoption, operational improvements, clinical impact, and program-level results.
- Partner with Marketing, Research, and Global Health teams to develop case studies, publications, impact stories, presentations, and other external-facing outcomes.
- Translate project learnings and deployment data into insights that demonstrate Qure.ai’s impact and strengthen the organization’s position in global health.
7. Manage Client Complaints & Escalations
- Own the resolution of client complaints and escalations, ensuring issues are addressed proactively and within agreed timelines.
- Liaise with client IT and Program Teams to understand issues, coordinate remote access requirements, and facilitate troubleshooting.
- Work closely with internal Engineering and Product teams to diagnose and resolve technical issues.
- Maintain clear communication with clients throughout the resolution process and ensure appropriate closure and follow-up.
Core Deliverables
The role will ultimately be accountable for:
- Successful project delivery: On-time, high-quality implementation and scale-up of AI programs.
- Client satisfaction & retention: Strong relationships, high adoption, and sustained engagement.
- Business growth: Renewals, expansions, cross-sell/upsell opportunities, and increased account value.
- Product improvement: High-quality client feedback translated into measurable product and workflow improvements.
- AI impact: Clear measurement and communication of clinical, operational, and programmatic outcomes.
- Stakeholder management: Effective coordination across government, healthcare, technology, clinical, and internal stakeholders.
- Issue resolution: Timely and structured management of technical challenges, complaints, and escalations.
- Thought leadership & visibility: Marketing, research, case studies, and impact outputs that demonstrate the value of Qure.ai’s solutions.
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