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Acceldata

Manager, Global Practice and Delivery (Solutions & Services)

Kitchener, ON, Canada
Toronto, ON, Canada

Full-time

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Job details

Job type: Full-time
Posting language: English
Posted: Oct 28, 2026

Original 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.

\nWhat 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.

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More about this job

Responsibilities

You will lead a global team of Solutions Consultants and Forward-Deployed Engineers to drive enterprise implementations and platform migrations. Additionally, you will define professional services strategy, manage operational performance metrics, and ensure high-quality customer delivery.

Requirements

Candidates must have at least 10 years of experience in professional services or technical consulting, with 5+ years in a leadership role. A strong background in data management, cloud infrastructure, and enterprise-level project delivery is required.

Skills

Team Leadership
Professional Services
Data Engineering
Cloud Platforms
Kubernetes
Data Observability
SaaS Deployments
Technical Consulting
Strategic Planning
Resource Allocation
Risk Management
Financial Accountability
Distributed Systems
Data Quality
Spark
Kafka

Visa sponsorship

Not detected in the job text

Keywords

Solutions Consultant
Forward-Deployed Engineer
Enterprise Implementation
SaaS
Data Management
Observability
Professional Services
Cloud Data Engineering
Kubernetes
Spark
Kafka
Hybrid-cloud
Multi-cloud
Strategy
Operational Excellence
Resource Management
Customer Success
Technical Delivery
Data Infrastructure
AI
Automation

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