Manager, Global Practice and Delivery (Solutions & Services)

Job description

We're looking for a**Manager, Global Practice and Delivery** to build, lead, and scale a global team of Solutions Consultants and Forward-Deployed Engineers responsible for enterprise implementations, technical consulting, SaaS deployments, and platform migrations. - You'll lead our North American services organization while helping shape global delivery practices that enable customers to successfully deploy, adopt, and realize measurable value from Acceldata's data management and observability solutions. - You'll build a scalable services delivery engine, ensuring customer engagements are delivered on time, within budget, to high-quality standards, and consistently across multiple customers. - You should be equally comfortable discussing data architecture trade-offs with a customer's technical team and coaching Solutions Consultant Or/And , Forward-Deployed Engineers on delivering complex on-premises and SaaS solutions. - We're looking for a forward-thinking leader who combines deep technical delivery expertise with ownership of practice strategy, commercial growth, operational excellence, and organizational capability building. ### What You Will Own - **Global Team Leadership**: Build, hire, coach, and develop a high-performing team of Solutions Consultants and Forward-Deployed Engineers supporting Data & AI Observability and Infrastructure Observability. - **Practice Strategy & Growth:** Define and execute the professional services strategy, strengthen delivery capabilities, identify opportunities for services growth, and build scalable operating models. - **Practice Performance & Leadership Accountability:** Own and continuously improve key professional services metrics, including services revenue, gross margin, resource utilization, delivery predictability, customer time-to-value, customer satisfaction, team capability development, and operational scalability. - **Customer Engagement:** Oversee multiple enterprise customer engagements, ensuring successful delivery, proactive risk management, stakeholder alignment, and measurable business outcomes. ### What You Bring - At least 10 years of experience in professional services, software engineering, forward-deployed engineering, or technical consulting, including 5+ years leading customer-facing engineering or delivery teams in a high-growth company - Proven experience running several complex enterprise implementations at once, including planning, resource allocation, risk management, and financial accountability. - Solid understanding of data engineering, distributed systems, cloud platforms, and Kubernetes-based environments. Most important: deep domain expertise in data management, data platforms, or data infrastructure - you can hold your own in conversations about data observability, data quality, spark/kafka processing, kubernetes architectures, or cloud data engineering. - Bachelor’s Or Master's in CS, Engineering, or related field. ### Preferred - Strong foundation using AI and automation to improve services delivery - Build a high-performing professional services organisation that delivers enterprise implementations on time, accelerates customer time-to-value, improves delivery efficiency, and drives measurable customer success. - Experience delivering solutions across hybrid-cloud, multi-cloud, and on-premises enterprise environments.