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  • Acceldata

    Manager, Global Practice and Delivery (Solutions & Services)

    Acceldata · 🇨🇦 Kitchener, ON · posted today
    ApplyFull posting

    Extracted from the posting

    Base
    Not stated
    Remote
    Hybrid
    Stack
    Kubernetes

    TL;DR

    Manager role to build and lead a global team of Solutions Consultants and Forward-Deployed Engineers, leading the North American services organization. Responsibilities include services revenue, gross margin, delivery predictability and oversight of multiple enterprise implementations. Requires 10+ years in professional services or engineering and deep data platform expertise.

    About Acceldata →

    The full posting

    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.

    Enterprise data infrastructure and AI are coming together, and Acceldata sits at that point. You will shape our global services and FDE organization, lead experienced technical people, and build delivery practices that scale. You will help customers run their mission-critical data platforms.