RVP, Professional Services - Emerging Markets
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Key skills for this role
About the Role
Manage Professional Services P&L, lead technical delivery, recruit talent, ensure customer satisfaction, and align with sales for revenue growth in Emerging Markets.
Key Skills for This Role
Full Job Posting
Key Responsibilities
- Own and manage the regional Professional Services P&L, budget, and operating plan, ensuring achievement of margin targets and overall financial health of the regional services business.
- Lead the scoping, solutioning, and pitching of professional services for strategic opportunities, partnering closely with Sales to define high-impact, value-driven engagements.
- Collaborate with Regional Sales and Account Management leadership to build services strategies that support pipeline acceleration, revenue goals, and expansion.
Professional Services Team Leadership & Scaling
- Lead, scale, and develop the Professional Services organization, overseeing both the Forward Deployed Engineering and Customer Success Engineering teams across MEA.
- Own workforce planning, capacity management, and resource utilization to efficiently balance team delivery against the dynamic book of business.
- Recruit, assess, and develop high-performing technical talent, implementing performance management frameworks to recognize excellence and address underperformance.
Delivery Excellence & Operational Rigor
- Define and govern the regional service delivery methodology, ensuring consistent, repeatable, and high-quality outcomes across the entire customer lifecycle (from onboarding to expansion).
- Define and enforce technical standards and MLOps best practices for customer deployments, ensuring solutions are secure, scalable, and maintainable at enterprise scale.
- Monitor customer satisfaction, delivery quality, and overall health of engagements to maximize customer impact and retention.
Executive Engagement & Alignment
- Serve as the senior technical point of contact and executive sponsor for strategic enterprise customers, engaging with C-level stakeholders on delivery, architecture, and platform adoption strategies.
- Maintain tight alignment with Global Engineering and Deployment leadership on standards, tooling, and frameworks, ensuring MEA practices contribute to and are consistent with global strategy.
- Represent DataRobot externally as a thought leader at regional industry events, customer advisory boards, and partner forums.
- You will serve as the critical bridge between global strategy and regional execution.
- You will partner closely with Sales, marketing, and R&D to align technical delivery capacity with revenue growth objectives across MEA, while instilling a culture of engineering excellence, operational rigor, and customer-centricity within your team.
Technical Expertise
- Deep, hands-on expertise in deploying and integrating enterprise AI/ML platforms at scale across cloud and on-premise environments.
- Strong architectural understanding of MLOps, model CI/CD pipelines, REST API design, containerization (Docker/Kubernetes), and enterprise data integration patterns.
- Proven ability to design and oversee deployment architectures for complex, regulated enterprise environments including financial services, healthcare, and government sectors common to the MEA region.
- Familiarity with Generative AI and Agentic AI frameworks (LangGraph, LlamaIndex, CrewAI) and their deployment considerations is a strong advantage.
Leadership & Management
- Demonstrated experience (minimum 3 5 years) leading and scaling regional or global deployment, solutions, or platform engineering teams, including hiring, performance management, and career development across distributed geographies.
- Strong ability to manage a matrixed organization with both direct and dotted reporting lines across time zones.
- Exceptional executive-level communication skills able to translate technical complexity into clear business outcomes for C-level audiences.
Commercial Acumen
- Strong understanding of the commercial dynamics of a post-sales technical function, including utilization management, delivery efficiency, and the relationship between technical success and revenue retention and expansion.
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