Managing Director, Data, Analytics & AI

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.

RSM is seeking a Managing Director, Data, Analytics & AI to accelerate growth in our Data & Digital Services (DDS) business. This leader will shape our market narrative and lead executive advisory, assessments, and large-scale transformation programs—building durable, high-impact, client relationships that scale. 

The ideal candidate brings executive credibility across enterprise data strategy, cloud data architecture, analytics, AI, and governance, with a proven record of building pipeline, shaping go-to-market offerings, and converting strategy into multi-phase delivery. This is a client-facing, revenue-generating role with accountability for growth, offering development, thought leadership, and cross-firm collaboration.

Managing Director Leadership Expectations 

The Managing Director role is designed for leaders with a distinct strategic focus or specialization needed to serve strategic clients and execute firm strategy. Managing Director focuses on client trust, deal shaping, and market credibility, not delivery oversight alone. Managing Director is considered a destination level with clear criteria encompassing behaviors and threshold metrics that serve as guideposts.

Managing Directors are expected to model firm values and the 5 C’s in all interactions: 

• Core values: Respect and uncompromising integrity; Succeeding together; Excellence in all we do; Impactful innovation; Stewardship: Acting responsibly 

• 5 C’s: Caring, Curious, Collaborative, Courageous, and Critical thinking 

Key Responsibilities 

Growth, Go-to-Market & Executive Sales Leadership 

• Own and shape go‑to‑market offerings growth objectives for the Data, Analytics & AI portfolio within DDS; build and manage a strategic pipeline aligned to RSM priorities. 

• Lead executive-level pre-sales: discovery workshops, value framing, solution architecture presentations, and RFP/RFI responses. 

• Partner with account, sales, and industry leaders to identify, qualify, and progress opportunities; author Statements of Work (SOWs), proposals, and scope documents. 

• Develop differentiated points of view that translate Data & AI capabilities into measurable business value and outcomes; represent RSM in the marketplace through thought leadership. 

• Build and maintain a strong sales pipeline, partnering with Sales and account teams to progress opportunities from initial conversations through close. 

• Convert strategy and assessment engagements into larger, multi‑phase delivery programs across cloud data platforms, analytics, AI, and governance. 

• Act as an executive sponsor for strategic pursuits, RFPs, and accounts; lead solutioning, executive presentations, and deal shaping.
   

Enterprise Data & AI Strategy, Governance & Advisory 

• Define enterprise data and AI operating models, including governance structures, policies, stewardship, and controls that enable responsible, scalable AI adoption.

• Lead master data management (MDM) strategy and implementation approaches to improve data quality, standardization, and cross‑domain consistency.

• Conduct rapid enterprise data and analytics assessments to evaluate current‑state architecture, platforms, analytics maturity, and AI readiness.

• Advise on investment prioritization, sequencing, and phased execution across enterprise data, analytics, and AI initiatives.

• Translate emerging data, analytics, AI, and GenAI capabilities into practical, value‑driven business strategies. 
   

Technical & Architectural Leadership (Executive‑Level) 

• Provide executive‑level credibility across data architecture, cloud platforms, analytics ecosystems, and AI technologies to support trusted, outcome‑focused advisory conversations.

• Oversee enterprise architecture direction across Microsoft, AWS, Google Cloud, Databricks, and Snowflake, ensuring scalability, security, and interoperability.

• Collaborate with architects, engineers, and management consultants to shape modern reference architectures and solution patterns.

• Evalu