Senior Practice Consultant

Senior Practice Consultant – Data & AI

Toronto, ON

Full-Time

The Senior Practice Consultant – Data & AI serves as a trusted multicloud architect and solution lead within OnX's Data & AI practice, guiding clients through the design and delivery of data platforms, analytics, and AI/ML solutions across Azure, AWS, and Google Cloud. This role blends pre-sales solution architecture with hands-on delivery leadership, and contributes directly to shaping the practice's offerings and capabilities.

Key Responsibilities

• Partner with sales and account teams to scope, design, and present Data & AI solutions during the pre-sales cycle

• Lead technical discovery sessions with clients to assess current-state data/AI maturity and define target architectures across multicloud environments

• Architect end-to-end, multicloud solutions spanning data engineering, data governance, analytics/BI, and AI/ML platforms on Azure, AWS, and Google Cloud

• Advise clients on cloud platform selection and workload placement based on cost, performance, and data residency requirements

• Develop statements of work, level-of-effort estimates, and solution architecture documentation

• Provide delivery oversight and technical leadership on Data & AI engagements, ensuring solutions meet client requirements and OnX quality standards

• Stay current on Data & AI and multicloud technology trends (cloud-native data platforms, MLOps, generative AI, data governance frameworks) and translate them into practice offerings

• Mentor and develop junior consultants and engineers within the practice

• Contribute to practice growth through thought leadership, whitepapers, and internal enablement content

• Support vendor and partner relationships across Microsoft, AWS, Google Cloud, Databricks, and Snowflake relevant to the Data & AI ecosystem

Qualifications

• 8+ years of experience in data architecture, analytics, or AI/ML consulting, with demonstrated pre-sales and delivery experience

• Proven experience as a multicloud architect, designing and delivering data/AI solutions across at least two of Azure, AWS, and Google Cloud

• Deep expertise in modern data platforms (e.g., Snowflake, Databricks, Azure Synapse/Fabric, AWS Redshift) and AI/ML tooling

• Experience leading technical discovery and solution design for enterprise clients

• Strong understanding of data governance, data quality, and data security practices across cloud platforms

• Excellent communication and presentation skills, with the ability to translate technical concepts for business audiences

• Relevant certifications across multiple cloud providers (e.g., Microsoft Azure, AWS, and/or Google Cloud data/AI or architecture certifications) preferred

• Bachelor's degree in Computer Science, Data Science, or related field, or equivalent experience