Serve as the primary subject matter authority on enterprise data strategy — owning client engagements from initial vision through governance, AI readiness assessment, platform selection, and roadmap execution
Advise CIOs, CDOs, CTOs, and CFOs on data modernization, AI strategy, and cloud transformation
Develop differentiated point-of-view narratives that translate data and AI capabilities into tangible business value for middle-market buyers
Represent RSM at industry events, partner summits, and conferences; contribute thought leadership through whitepapers, webinars, and practitioner briefings
Lead technical presales activities including discovery workshops, solution design sessions, architecture presentations, and RFP/RFI responses
Collaborate with RSM account teams and industry leaders to identify, qualify, and progress pipeline; author Statements of Work, proposals, and scoping documentation
Co-develop the Data & AI service portfolio in close collaboration with RSM service and practice leaders
Define and build repeatable delivery assets including methodologies, playbooks, accelerators, and reference architectures
Build and mentor a high-performing team of architects, engineers, and analysts across North America
Champion hyperscaler competency milestones and manage vendor partnership relationships across AWS, Azure, and GCP tiers
Requirements
10+ years of progressive experience in data, analytics, or cloud technology consulting
At least 3 years in a senior client-facing or practice leadership role
Demonstrated delivery experience across both independent data platforms (Snowflake, Databricks) and at least one hyperscaler-native stack, preferably AWS.
Proven presales track record — owning proposals, leading solution presentations, and closing consulting engagements
Strong enterprise architecture credentials: The Open Group TOGAF or Master Certified Architect designation strongly preferred
Experience engaging C-suite stakeholders as a technical advisor and strategic consultant
Familiarity with regulated or public sector verticals (financial services, manufacturing, energy, government) an asset
Preferred Certifications AWS Certified Data Analytics Specialty, Solutions Architect Professional, or ML Specialty Databricks Certified Associate or Professional Data Engineer Microsoft Fabric / Azure Data certifications (DP-600, DP-203, or equivalent) Snowflake certifications (SnowPro Core, Advanced Architect) Familiarity with adjacent platforms including Snowflake, Microsoft Fabric, or dbt, supporting cross-practice collaboration. Background in regulated industries such as financial services, manufacturing, technology or energy — primary middle-market verticals for RSM.