RVP, Professional Services - Emerging Markets at DataRobot UK LTD

Dubai, Dubai, United Arab Emirates -

Full Time

Start Date

Immediate

Expiry Date

12 Aug, 26

Salary

0.0

Posted On

14 May, 26

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

P&L Management, AI/ML Deployment, MLOps, Enterprise Architecture, Team Leadership, Commercial Strategy, Cloud Computing, Generative AI, Resource Utilization, Executive Communication, Solutioning, Capacity Management, Customer Success Engineering, Forward Deployed Engineering, Strategic Planning, Stakeholder Management

Industry

Software Development

Description

Job Description: DataRobot delivers AI that maximizes impact and minimizes business risk. Our platform and applications integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. Purpose & Overall Relevance for the Organization: As RVP of Professional Services for Emerging Markets (middles east and Africa), you will be the most senior technical leader responsible for building, scaling, and driving the performance of DataRobot’s Professional Services organization, overseeing both the Forward Deployed Engineering and Customer Success Engineering teams. You will own the end-to-end technical delivery lifecycle—from scoping and pitching professional services engagements to ensuring high-quality delivery and production-grade operationalization—while maintaining P&L responsibility for the region. Key Responsibilities: Commercial Strategy & P&L Ownership 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. Knowledge, Skills and Abilities: 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. Requisite Education and Experience / Minimum Qualifications: Experience 10–14 years of progressive experience in software engineering, platform deployment, or AI/ML technical roles, with a minimum of 4 years in a senior management or VP-level leadership position. Education Bachelor’s degree in Computer Science, Engineering, or a related technical field required; MS or PhD preferred. Cloud Experience Expert-level, hands-on experience with at least one major cloud platform including enterprise security, networking, and compliance considerations. Regional Experience Demonstrated experience working across the MEA region, with an appreciation for the cultural, regulatory, and commercial diversity of key markets including GCC and Europe DataRobot Platform Expert familiarity with the DataRobot AI Platform is a strong plus. The talent and dedication of our employees are at the core of DataRobot’s journey to be an iconic company. We strive to attract and retain the best talent by providing competitive pay and benefits with our employees’ well-being at the core. Here’s what your benefits package may include depending on your location and local legal requirements: Medical, Dental & Vision Insurance, Flexible Time Off Program, Paid Holidays, Paid Parental Leave, Global Employee Assistance Program (EAP) and more! DataRobot Operating Principles: Wow Our Customers Set High Standards Be Better Than Yesterday Be Rigorous Assume Positive Intent Have the Tough Conversations Be Better Together Debate, Decide, Commit Deliver Results Overcommunicate Research shows that many women only apply to jobs when they meet 100% of the qualifications while many men apply to jobs when they meet 60%. At DataRobot we encourage ALL candidates, especially women, people of color, LGBTQ+ identifying people, differently abled, and other people from marginalized groups to apply to our jobs, even if you do not check every box. We’d love to have a conversation with you and see if you might be a great fit. DataRobot is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. DataRobot is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. Please see the United States Department of Labor’s EEO poster and EEO poster supplement for additional information. All applicant data submitted is handled in accordance with our Applicant Privacy Policy. DataRobot delivers AI that maximizes impact and minimizes business risk. Our AI applications and platform integrate into core business processes so teams can develop, deliver, and govern AI at scale. DataRobot empowers practitioners to deliver predictive and generative AI, and enables leaders to secure their AI assets. Organizations worldwide rely on DataRobot for AI that makes sense for their business — today and in the future. For more information, visit our website and connect with us on LinkedIn. DataRobot has become aware of scams involving false offers of DataRobot employment. The scams and false offers use imposter websites, email addresses, text messages, and other fraudulent means. None of these offers are legitimate, and DataRobot’s recruiting process never involves conducting interviews via instant messages, nor requires candidates to purchase products or services, or to process payments on our behalf. Please note that DataRobot does not ask for money in its recruitment process. DataRobot is committed to providing a safe and secure environment for all job applicants. We encourage all job seekers to be vigilant and protect themselves against recruitment scams by verifying the legitimacy of any job offer before providing personal information or paying any fees. Communication from our company will be sent from a verified email address using the @datarobot.com email domain. If you receive any suspicious emails or messages claiming to be from DataRobot, please do not respond. Thank you for your interest in DataRobot, and we look forward to receiving your application through our official channels. Don't see the dream job you are looking for? Drop off your contact information and resume and we will reach out to you if we find the perfect fit!

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Responsibilities

Lead and scale the Professional Services organization across the Middle East and Africa, overseeing technical delivery and P&L for the region. Act as the senior technical bridge between global strategy and regional execution to drive AI platform adoption for enterprise customers.