Manager, Advanced Analytics and Artificial Intelligence (AI)

Toronto - Canada

Monthly Salary: $ 98000 - 167000

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

We are the leading provider of professional services to the middle market globally our purpose is to instill confidence in a world of change empowering our clients and people to realize their full potential. Our exceptional people are the key to our unrivaled inclusive culture and talent experience and our ability to be compelling to our clients. Youll find an environment that inspires and empowers you to thrive both personally and professionally. Theres no one like you and thats why theres nowhere like RSM.

Position Description

As a Manager in RSMs Advanced Analytics and AI Consulting practice you will lead client engagements that help organizations unlock business value from data machine learning and AI. Youll work closely with cross-functional consulting teams to design and deliver scalable AI and analytics solutions that enhance decision-making automate processes and drive measurable business impact.

This is a client-facing leadership role that requires both technical expertise and business acumen. You will guide project teams through the full lifecycle of analytics and AI solution delivery from discovery and data preparation to modeling deployment and operationalization while mentoring junior team members and collaborating with RSMs national network of data and digital professionals.

Key Responsibilities

Lead the design development and deployment of AI and machine learning models using Python R and/or Azure Machine Learning.
Oversee the creation of data pipelines and analytics architectures leveraging Microsoft Fabric Azure Data Factory Azure Data Lake Synapse and Power BI.
Partner with business and technical stakeholders to translate business objectives into data-driven solutions and define measurable success criteria.
Drive Generative AI and AI Agent projects including solution design architecture and integration with enterprise data ecosystems.
Conduct and review exploratory data analysis feature engineering and model evaluation to ensure performance and interpretability.
Lead engagement delivery ensuring quality timeliness and alignment with client expectations.
Collaborate across regions and service lines to deliver integrated cross-disciplinary AI solutions.
Mentor and coach analysts and consultants in data science methods solution development and client delivery best practices.

Basic Qualifications

Bachelors or Masters degree in Data Science Computer Science Information Systems Engineering Statistics Mathematics or related field.
8 years of experience in data analytics data science or AI solution development.
Proven experience designing and implementing end-to-end analytics and AI solutions using Azure technologies (Fabric Data Factory Synapse Data Lake Machine Learning).
Proficiency with Python and/or R for data science and machine learning workflows.
Experience with data visualization and storytelling particularly using Power BI or equivalent tools.
Strong understanding of modern data architectures ML lifecycle management and MLOps concepts.
Excellent communication and presentation skills with the ability to convey technical concepts to business audiences.
Demonstrated ability to lead teams manage client relationships and deliver complex projects on time and within scope.
Strong curiosity and passion for solving complex business problems through AI and advanced analytics.
Ability and willingness to travel to the US will be required including for client meetings and conferences

Preferred Qualifications

Experience with Azure OpenAI Copilot Studio or other LLM-based solutions.
Familiarity with Generative AI architectures vector databases and retrieval-augmented generation (RAG) design patterns.
Exposure to data governance Responsible AI and model risk management frameworks.
Experience in cloud solution architecture particularly within Microsoft Azure ecosystems.
Advanced degree (MS) in a quantitative discipline.

At RSM we offer a competitive benefits and compensation package for all our offer flexibility in your schedule empowering you to balance lifes demands while also maintaining your ability to serve clients. Learn more about our total rewards at does not tolerate discrimination and/or harassment based on race; colour; creed; sincerely held religious beliefs practices or observances; sex (including pregnancy or disabilities related to nursing); gender (including gender identity and/or gender expression); sexual orientation; national origin; ancestry; familial or marital status; age; physical or mental disability; citizenship; political affiliation; medical condition (including family and medical leave); domestic violence victim status; past current or prospective service in the Canadian uniformed service; Canadian Military/Veteran status; pre-disposing genetic characteristics or any other characteristic protected under applicable provincial employment legislation.

Accommodation for applicants with disabilities is available upon request in connection with the recruitment process and/or employment/partnership.RSM is committed to providing equal opportunity and reasonable accommodation for people with disabilities. If you require a reasonable accommodation to complete an application interview or otherwise participate in the recruiting process please call us at or send us an email at .

At RSM an employees pay at any point in their career is intended to reflect their experiences performance and skills for their current role. The salary range (or starting rate for interns and associates) for this role represents numerous factors considered in the hiring decisions including but not limited to education skills work experience certifications location etc. As such pay for the successful candidate(s) could fall anywhere within the stated range.

Compensation Range: $98000 - $167000

Individualsselected for this role will be eligible for a discretionary bonus based on firm and individual performance.

Required Experience:

Manager

Position Description

Key Responsibilities

Lead the design development and deployment of AI and machine learning models using Python R and/or Azure Machine Learning.
Oversee the creation of data pipelines and analytics architectures leveraging Microsoft Fabric Azure Data Factory Azure Data Lake Synapse and Power BI.
Partner with business and technical stakeholders to translate business objectives into data-driven solutions and define measurable success criteria.
Drive Generative AI and AI Agent projects including solution design architecture and integration with enterprise data ecosystems.
Conduct and review exploratory data analysis feature engineering and model evaluation to ensure performance and interpretability.
Lead engagement delivery ensuring quality timeliness and alignment with client expectations.
Collaborate across regions and service lines to deliver integrated cross-disciplinary AI solutions.
Mentor and coach analysts and consultants in data science methods solution development and client delivery best practices.

Basic Qualifications

Bachelors or Masters degree in Data Science Computer Science Information Systems Engineering Statistics Mathematics or related field.
8 years of experience in data analytics data science or AI solution development.
Proven experience designing and implementing end-to-end analytics and AI solutions using Azure technologies (Fabric Data Factory Synapse Data Lake Machine Learning).
Proficiency with Python and/or R for data science and machine learning workflows.
Experience with data visualization and storytelling particularly using Power BI or equivalent tools.
Strong understanding of modern data architectures ML lifecycle management and MLOps concepts.
Excellent communication and presentation skills with the ability to convey technical concepts to business audiences.
Demonstrated ability to lead teams manage client relationships and deliver complex projects on time and within scope.
Strong curiosity and passion for solving complex business problems through AI and advanced analytics.
Ability and willingness to travel to the US will be required including for client meetings and conferences

Preferred Qualifications

Experience with Azure OpenAI Copilot Studio or other LLM-based solutions.
Familiarity with Generative AI architectures vector databases and retrieval-augmented generation (RAG) design patterns.
Exposure to data governance Responsible AI and model risk management frameworks.
Experience in cloud solution architecture particularly within Microsoft Azure ecosystems.
Advanced degree (MS) in a quantitative discipline.