Practice Lead – Data & AI

AIM Qualifications and Assessment Group

. Define and execute the Data & AI practice strategy, service portfolio, capability roadmap, and hiring plan .

Posted 11/5/2026full-timeMississauga • CanadaSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in defining and executing Data & AI strategies, leading solution architecture, and managing practice revenue and delivery quality. Proficient in developing predictive analytics and AI applications while fostering a culture of collaboration and continuous learning.

Highest-signal resume keywords

Data ModernizationMicrosoft FabricPredictive AnalyticsAI ApplicationsSolution Architecture

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureData IntegrationData ModellingMachine LearningAI EngineeringPerformance TuningCapacity PlanningCost OptimizationData QualityForecasting

Soft Skills

LeadershipMentoringCollaborationCommunicationProblem-Solving

Tools & Technologies

Azure Data ServicesPower BIDynamics 365DataverseOneLakeLakehouseData PipelinesNotebooksSemantic ModelsAgent Workflows

Industry Keywords

Data & AI PracticeTechnical AuthorityBusiness DevelopmentCustomer EngagementTechnical ReadinessGovernanceContinuous LearningExecutive DiscoveryTechnical WorkshopsQuality Controls

Tech Stack

Tools & technologies

AzurePySparkPythonSQL

About the role

Key responsibilities & impact

Define and execute the Data & AI practice strategy, service portfolio, capability roadmap, and hiring plan
Partner with business development and Microsoft alliance leadership to build qualified pipeline and win new customers
Develop repeatable offerings across data modernization, Microsoft Fabric, predictive analytics, AI applications, and managed data services
Own practice revenue, gross margin, utilization, delivery capacity, and forecasting against agreed targets
Support Microsoft partner designations and advanced specializations through skilling, customer delivery evidence, and technical readiness
Serve as the senior technical authority for Data & AI engagements
Lead solution architecture across Microsoft Fabric, Azure data services, data science, and AI engineering
Establish standards for data architecture, integration, modelling, security, governance, testing, deployment, and operations
Remain directly involved in critical designs, technical reviews, proofs of concept, and complex delivery issues
Lead implementations spanning OneLake, Lakehouse, Warehouse, data pipelines, notebooks, semantic models, and Power BI
Guide integration with Dynamics 365 Business Central, Finance & Operations, Dataverse, and other enterprise systems
Establish reliable ingestion, transformation, data quality, lineage, and monitoring practices
Oversee performance tuning, capacity planning, and cost optimization
Develop trusted data foundations supporting reporting, predictive analytics, and AI applications
Identify business problems suited to predictive analytics, machine learning, and generative AI
Guide model development for forecasting, anomaly detection, customer segmentation, inventory optimization, and related use cases
Lead engineering of enterprise AI applications, including retrieval-augmented generation, search, agent workflows, and application integration
Establish practices for model and AI evaluation, deployment, monitoring, access control, and responsible use
Lead executive discovery sessions, technical workshops, assessments, and architecture discussions
Translate business priorities into phased roadmaps with clear outcomes, scope, dependencies, and investment requirements
Own the technical integrity of proposals, estimates, statements of work, and delivery commitments
Present solutions to business executives, IT leaders, data teams, and procurement stakeholders
Contribute to demonstrations, thought leadership, events, and Microsoft co-sell activities
Own delivery quality, technical risk, resource allocation, and escalation management across the practice
Work with project management to maintain realistic plans, budgets, acceptance criteria, and change controls
Recruit, mentor, and develop data engineers, analytics engineers, data scientists, and AI engineers
Establish individual development and certification plans aligned with practice priorities
Build a culture of engineering discipline, accountability, collaboration, and continuous learning
Develop reusable accelerators and apply AI-assisted delivery methods with appropriate quality controls
In the first 90 days, assess the team and delivery portfolio, establish the practice operating plan and scorecard, take ownership of priority opportunities, build an executive-ready demonstration, and implement baseline standards

Requirements

What you’ll need

Website LinkedIn All Job Openings 51 - 200 employees Founded 2011 📚 Education 🤝 Non-profit 👥 HR Tech Education
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HR Tech AIM Qualifications and Assessment Group is a not-for-profit awarding organisation and Access Validating Agency with over 40 years of experience in creating and awarding qualifications, including Access to HE Diplomas. The organisation is dedicated to promoting inclusion, integrity, respect, and empowerment through flexible, professional, and technical qualifications ranging from Entry Level to Level 6. AIM also specializes in end-point assessments for apprenticeships in the creative, cultural, digital technologies, and professional services sectors, supporting various organisations in delivering quality training and assessments.