Manager, Global Practice and Delivery (Solutions & Services)

• 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.