Director, AI & Emerging Tech Risk — Strategy & Delivery

RSM US LLP; Minneapolis (MN); On-site; USD 126,500 - 254,700; Full time

Job summary

RSM US LLP is seeking a Director of AI & Emerging Technology Risk to provide strategic leadership across client delivery, presales, and advisory services related to artificial intelligence and emerging technologies. The role blends AI expertise, enterprise risk management, and solution architecture to help clients innovate responsibly while managing risk.

The position requires 8–10+ years of leadership in technology risk and AI delivery, along with relevant certifications.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, Data Science, Risk, or related discipline (or equivalent practical experience).
• 8–10+ years leading technology risk and/or AI engineering delivery in consulting or industry, including ownership of large client programs.
• Job relevant certification (ie, Azure, Aws, AI certifications, etc.)

Responsibilities

• Advise executive stakeholders on AI and emerging-technology risk across governance, ethics, security, privacy, and operational resilience grounded in how models are built, deployed, and monitored in production
• Lead client decisioning on GenAI/ML adoption by translating business use cases into implementable architectures, control requirements, and delivery roadmaps (people/process/technology)
• Track evolving model capabilities, platforms, and threat/regulatory trends to continuously refine solution patterns, controls, and sales positioning for risk-focused AI offerings
• Design and operationalize AI/technology risk frameworks aligned to ERM-mapping controls to the AI/ML lifecycle (data, training, evaluation, deployment, monitoring, change management)
• Assess enterprise-wide AI impacts across cybersecurity, privacy, model risk management (MRM), third-party risk, and compliance—producing actionable remediation plans and control implementation backlogs
• Present AI risk posture, risk appetite alignment, and control maturity to Boards and executive committees using clear metrics (KRIs/KPIs), model inventories, and audit-ready documentation
• Architect AI-enabled solutions for risk consulting clients (including GenAI/RAG patterns) with secure-by-design, scalable, and governable reference architectures
• Evaluate SDLC and MLOps practices—cloud landing zones, APIs, data pipelines, CI/CD, model registries, and deployment strategies—to identify risk, control gaps, and engineering fixes
• Embed "risk-by-design" into build plans: threat modeling, privacy engineering, evaluation/validation protocols, human-in-the-loop controls, monitoring/alerting, and incident response runbooks
• Lead AI risk and emerging-technology engagements from strategy to implementation—owning delivery plans, sprint execution, stakeholder management, and outcomes
• Establish delivery governance (scope, RAID, quality gates, model validation checkpoints) and ensure solutions are production-ready, auditable, and defensible
• Build and mentor cross-functional teams (risk, data science, engineering, security) and provide technical leadership across Managers and Senior Managers
• Develop reusable accelerators (reference architectures, control libraries, evaluation harnesses, templates) and publish market-facing thought leadership to scale delivery and sales
• Drive account expansion by identifying adjacent risk opportunities, quantifying value, and partnering with client leaders to turn delivery success into follow-on sales
• Own delivery sales for AI risk pursuits: qualify opportunities, shape deal strategy, and lead solutioning as the senior AI engineering/risk SME
• Define and package AI risk solution offerings (e.g., GenAI governance, MRM uplift, secure RAG, AI SDLC/MLOps controls) with clear value propositions and deliverables
• Lead proposal development—scoping, staffing model, delivery approach, assumptions, pricing inputs, and risk-managed implementation plan
• Run client workshops and executive presentations that walk through architectures, control designs, and delivery plans—bridging engineering details to risk outcomes
• Translate transformation goals into implementable AI risk solutions aligned to regulatory guidance, internal governance, and target-state technology architecture
• Build trusted C-level relationships and maintain pipeline by connecting delivery success to measurable risk reduction, audit readiness, and operational resilience

Skills

AI risk leadership

ERM

Solution architecture

Delivery leadership

Executive communication

Education

Bachelor's or Master's in CS/Engineering/Data Science/Risk

Tools

Azure

AWS

Job description

RSM US LLP is seeking a Director of AI & Emerging Technology Risk to provide strategic leadership across client delivery, presales, and advisory services related to artificial intelligence and emerging technologies. The role blends AI expertise, enterprise risk management, and solution architecture to help clients innovate responsibly while managing risk.

The position requires 8–10+ years of leadership in technology risk and AI delivery, along with relevant certifications.