Manager, Global Practice and Delivery (Solutions & Services)
- Kitchener, ON, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English
- Posted
Original job description
- 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.
- 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.
- 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.
- 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.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
More about this job
Responsibilities
Build and lead a global team of Solutions Consultants and Forward-Deployed Engineers, while defining scalable professional services practices and operating models. Oversee enterprise customer engagements and services performance, ensuring high-quality, predictable delivery, customer value, and commercial growth.
Requirements
Requires at least 10 years of relevant experience, including 5 or more years leading customer-facing engineering or delivery teams, and a track record managing multiple complex enterprise implementations. Candidates should have deep expertise in data management or infrastructure, knowledge of data engineering, distributed systems, cloud and Kubernetes environments, and a bachelor's or master's degree in a related field.
Skills
- Professional Services Leadership
- Team Building and Coaching
- Enterprise Implementations
- Technical Consulting
- Data Management
- Data Observability
- Data Quality
- Data Engineering
- Distributed Systems
- Cloud Platforms
- Kubernetes
- SaaS Deployments
- Platform Migrations
- Resource Allocation
- Risk Management
- Financial Accountability
Visa sponsorship
Not detected in the job text
Categories
- Management & Leadership
- Technology
- Data & Analytics
- Software
- Consulting
Keywords
- Professional Services
- Solutions Consultants
- Forward-Deployed Engineers
- Data Observability
- Infrastructure Observability
- Data Management
- Data Platforms
- Data Infrastructure
- Data Engineering
- Data Quality
- Distributed Systems
- Cloud Platforms
- Kubernetes
- SaaS
- Enterprise Implementations
- Technical Consulting
- Platform Migrations
- Hybrid Cloud
- Multi-Cloud
- On-Premises Environments
- Spark
- Kafka
- AI
- Automation
- Services Revenue
- Gross Margin
- Resource Utilization
- Customer Time-to-Value
- Delivery Predictability
- Customer Satisfaction