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6 дней назад

Manager, Global Practice and Delivery (Solutions & Services)

Формат работы
onsite
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
Canada
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Manager, Global Practice and Delivery (Solutions & Services) (Data & AI Observability): Building and scaling a global services organization for enterprise implementations, technical consulting, SaaS deployments, and platform migrations with an accent on delivery strategy, customer value, and operational performance. Focus on leading Solutions Consultants and Forward-Deployed Engineers, managing complex data-platform engagements, and developing scalable practices across hybrid-cloud, multi-cloud, and on-premises environments.

Location: Kitchener or Toronto, Canada

Company

hirify.global provides data management and observability solutions for mission-critical enterprise data platforms.

What you will do

  • Build, lead, hire, coach, and develop a global team of Solutions Consultants and Forward-Deployed Engineers.
  • Lead the North American services organization and define global delivery practices for enterprise implementations, technical consulting, SaaS deployments, and platform migrations.
  • Define and execute the professional services strategy, strengthen delivery capabilities, identify growth opportunities, and build scalable operating models.
  • Own services revenue, gross margin, resource utilization, delivery predictability, customer time-to-value, customer satisfaction, team capability development, and operational scalability.
  • Oversee multiple enterprise engagements, including delivery planning, risk management, stakeholder alignment, resource allocation, financial accountability, and measurable business outcomes.

Requirements

  • 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.
  • Experience running several complex enterprise implementations simultaneously, including planning, resource allocation, risk management, and financial accountability.
  • Strong understanding of data engineering, distributed systems, cloud platforms, and Kubernetes-based environments.
  • Deep expertise in data management, data platforms, or data infrastructure, including the ability to discuss data observability, data quality, Spark/Kafka processing, Kubernetes architectures, and cloud data engineering.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

Nice to have

  • Experience using AI and automation to improve services delivery.
  • Experience delivering solutions across hybrid-cloud, multi-cloud, and on-premises enterprise environments.

Culture & Benefits

  • On-site work in Kitchener or Toronto, Canada.
  • Opportunity to shape a global services and Forward-Deployed Engineering organization supporting Data and AI Observability and Infrastructure Observability.
  • Work focused on helping customers deploy, adopt, and realize measurable value from mission-critical data platforms.
  • AI tools may support parts of the hiring process, while final hiring decisions are made by humans.

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