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.
Requirements
Bachelor's or Master's degree in Data Science, Computer Science, Information Systems, Engineering, Statistics, Mathematics, or related field.
5+ 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
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.
Additional Information
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, culture and talent experience and our ability to be compelling to our clients. You'll find an environment that inspires and empowers you to thrive both personally and professionally. There's no one like you and that's why there's nowhere like RSM.
As a Supervisor in RSM's Advanced Analytics and AI Consulting practice, you will lead client engagements that help organizations unlock business value from data, machine learning, and AI. You'll 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 RSM's national network of data and digital professionals.
Rsm · San Diego