Senior Managing Consultant

Why Keyrus, Why Now!Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.
For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.
Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.
At Keyrus, you’ll lead enterprise data transformation initiatives, shape modern cloud and data architectures, and strengthen our Data Engineering practice by connecting technical excellence, consulting leadership, and measurable business value.
Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.
Role details
Location: Hybrid - Toronto or Montreal, Canada (2 days per week in the office)
Contract: Permanent, full-time
What you’ll architectAs a Senior Managing Consultant, you’ll lead complex consulting engagements and architect modern enterprise data and AI platforms while helping grow Keyrus’ Data Engineering and AI practice across North America.
You’ll combine cloud, data architecture, and AI expertise with strategic leadership, delivery governance, and business development to design scalable, data & AI-ready solutions, establish engineering standards, and support successful client transformations.
You’ll also strengthen technical and AI capabilities, mentor consulting teams, and develop reusable frameworks, AI-driven solutions, and innovative offerings that create sustainable business value.
Your responsibilities
Partner with clients to understand business objectives, define transformation roadmaps, and architect scalable enterprise data solutions across Databricks, Microsoft Fabric, Snowflake, Azure, and complementary technologies.
Lead end-to-end delivery of complex data engineering engagements, overseeing multidisciplinary teams, technical architecture, delivery quality, risk management, and commercial performance.
Define and govern architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practice.
Lead and grow the Data Engineering practice by developing technical capabilities, mentoring consultants, and establishing consistent delivery standards.
Drive technical pre-sales, solution design workshops, strategic proposals, and go-to-market initiatives, developing differentiated offerings and industry-specific use cases.
Collaborate with strategic technology partners to align solution strategies, leverage emerging platform capabilities, and strengthen client offerings.
Champion the adoption of AI capabilities and emerging cloud and data technologies, translating innovation into practical solutions and measurable business outcomes.
Who you areYou are a strategic and technically accomplished Data Engineering leader who combines deep architectural expertise with strong consulting, commercial, and people leadership capabilities. You are comfortable engaging executives, leading complex client transformations, and overseeing multiple delivery teams while maintaining technical excellence and business outcomes. You enjoy mentoring consultants, building scalable practices, and translating emerging cloud, data, and AI technologies into meaningful client value.
What you bringExperience
8+ years of professional experience in Data Engineering, including 5+ years in Senior Consultant, Principal Consultant, Technical Lead, or Technical Project Management leadership roles.
Proven experience leading enterprise data consulting engagements, complex transformation initiatives, and multidisciplinary delivery teams.
Strong experience architecting and delivering modern enterprise data platforms, lakehouses, data pipelines, and cloud-native analytics solutions.
Experience establishing architectural standards, technical governance frameworks, and reusable engineering practices across multiple engagements.
Demonstrated experience leading technical pre-sales, solution design workshops, strategic proposals, and client-facing architecture discussions.
Experience mentoring consultants, developing engineering capabilities, and managing delivery quality, commercial performance, and client satisfaction.
Technical skills
Deep hands-on expertise in enterprise data architecture using Databricks, Microsoft Fabric, Snowflake, and Azure Data Services.
Strong experience designing scalable data pipelines, lakehouses, data warehouses, and cloud-native analytics platforms.
Proven ability to define and govern architecture standards across modern cloud and data ecosystems.
Experience developing modernization frameworks, reusable engineering accelerators, and technical governance models.
Strong understanding of delivery governance, risk management, performance optimization, and commercial considerations across concurrent engagements.
Experience enabling AI capabilities within enterprise data platforms and modern analytics ecosystems.
Strong technical leadership and solution design capabilities, with the ability to guide multidisciplinary engineering teams.
Nice to have
Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
Microsoft Fabric, Databricks, Snowflake, Azure, or cloud architecture certifications.
Experience with dbt and modern data transformation frameworks.
Knowledge of DataOps, MLOps, and enterprise Data Governance strategies.
Experience working with strategic technology alliances and partner ecosystems.
Exposure to advanced AI-driven analytics, practice development, and go-to-market strategy.
What makes you successful
You translate complex data and cloud architectures into measurable business value.
You lead multiple client engagements while maintaining delivery quality and commercial awareness.
You inspire and develop high-performing consulting teams through mentorship and technical leadership.
You build trusted executive relationships and drive strategic growth through innovation and collaboration.
What we offer at Keyrus
A stimulating environment where you can challenge yourself and discover new horizons.
A strong culture of innovation and entrepreneurship.
Opportunities to celebrate success through team activities, social events, and special celebrations.
Comprehensive group insurance for you and your family.
RRSP and DPSP participation plans.
Monthly wellness allowance.
Telecommunication reimbursement.
4 weeks of paid vacation.
Language courses (French and English).
Access to continuous learning through certifications, conferences, training programs, and industry events.
The expected base compensation for this position ranges from $130,000 to $160,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.
About KeyrusAt Keyrus, we help organizations move from experimental to industrialized AI, from isolated agents to orchestrated systems, and from insight to execution.
As Architects of Intelligence, we design the Operating System of the intelligent enterprise, embedding intelligence into business processes so that it creates sustainable, measurable value.
Powered by our proprietary Human Orchestrated Model (HOM), we architect reliable:
Intelligence Foundations
Human in Command governance
Performance Steering
With over 30 years of expertise and 3,000 experts across 30 countries, we build adaptive, resilient intelligent environments where technology amplifies human capability and performance compounds over time.
AI does not transform businesses. Architected intelligence does.
For more information:
#J-18808-Ljbffr