Data and Analytics Technical Manager

RSM US LLP

. Lead project and technical teams through definition and implementation of data and analytics solutions .

Posted 11/12/2026full-timeToronto • CanadaSeniorLead💰 CA$98,000 - CA$180,400 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive expertise in leading data and analytics projects, with a strong focus on designing scalable and reliable solutions using advanced data platforms. Proficient in mentoring teams and collaborating with stakeholders to deliver impactful data-driven strategies.

Highest-signal resume keywords

Data And Analytics Solutions LeadershipMicrosoft Fabric, Snowflake, And Databricks ExpertiseBusiness Intelligence Solutions DevelopmentSQL And Python ProficiencyData Pipeline Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingBusiness IntelligenceData Pipeline OptimizationPredictive And Generative AIData GovernanceData Management StandardsData Quality ValidationCI/CD PracticesPower BITableau

Soft Skills

Communication SkillsPresentation SkillsInterpersonal SkillsCritical ThinkingProblem Solving

Tools & Technologies

Microsoft FabricSnowflakeDatabricksPower BITableauSQLPythonPySparkPandasVersion Control

Industry Keywords

Data AnalyticsCloud ComputingData ModernizationConsulting ExperienceData Security

Tech Stack

Tools & technologies

CloudPandasPySparkPythonSnowflakeSQLTableau

About the role

Key responsibilities & impact

Lead project and technical teams through definition and implementation of data and analytics solutions
Serve as technical architect for data and AI assessments, translating findings into strategies and roadmaps
Conduct rapid data and analytics assessments to identify gaps
Monitor emerging trends in big data and cloud computing and assess organizational impact
Develop and maintain data management, governance, security standards, and guidelines
Oversee delivery teams’ application of standards and best practices
Review designs as a design gate for quality and adherence to standards
Review delivery estimates, proposed architecture, and solution designs before projects begin
Collaborate with sales and business development teams on customer needs, solution proposals, demonstrations, and presentations
Define requirements, objectives, and timelines with data scientists, engineers, business analysts, and stakeholders
Coordinate solution delivery across Service Lines
Mentor college hires and offshore teams

Requirements

What you’ll need

Bachelor's degree
Minimum of 10 years in IT, including at least 10 years in Data and Analytics
5+ years designing data models across multiple subject areas and business domains
5+ years designing and developing business intelligence solutions
5+ years optimizing data pipeline processes and database structures
Deep expertise in at least two of Microsoft Fabric, Snowflake, and Databricks
Previous Data and Analytics experience with a consulting firm
Proven record leading and implementing data and analytics solutions across multiple clients
Experience designing production data and analytics solutions for scalability, reliability, security, and cost efficiency
Advanced understanding of data platforms, tools, and cloud capabilities for data modernization
Proficiency in Power BI or Tableau
Practical understanding of predictive and generative AI, including model limitations, prompting, grounding responses in trusted data, and evaluating outputs
Proficiency in SQL and Python, such as PySpark and Pandas
Hands-on experience with version control, code reviews, automated unit and integration testing, data quality validation, and CI/CD
Expertise defining, managing, and automating data pipelines/workflows
Ability to evaluate AI outputs for accuracy, unsupported claims, and bias; protect confidential client data; and apply human review and documented validation
Excellent communication, presentation, interpersonal, critical-thinking, and problem-solving skills
Ability to work independently and in virtual teams
Ability to meet periodic United States business travel requirements, potentially up to 30% travel

Benefits

Comp & perks

Competitive benefits and compensation package
Hybrid workstyle with in-person connection and flexibility
Accommodation for applicants with disabilities during recruitment and employment
Discretionary bonus based on firm and individual performance