Lead client engagements that help organizations unlock business value from data, machine learning, and AI
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
Guide project teams through the full lifecycle of analytics and AI solution delivery, from discovery and data preparation to modeling, deployment, and operationalization
Mentor junior team members and collaborate with RSM’s national network of data and digital professionals
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

Bachelor’s or Master’s 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

Manager, Advanced Analytics, Artificial Intelligence – AI

Key skills