Principal Strategy Consultant

PRINCIPAL CONSULTANT

Strategy Consulting & Innovation (CS&I) Practice

Role Summary

We are looking for a specialist who understands how to re-imagine business processes through an AI lens — not just automate existing workflows, but fundamentally rethink how AI can be infused into domains like Loss Mitigation, Sales & Distribution, and Employee Experience. This role will also play a key part in establishing AI governance to prevent fragmentation across Sallie Mae's growing portfolio of AI initiatives.

Key responsibilities

• Assess current AI initiatives across Sallie Mae teams and map the fragmentation and governance risk landscape
• Design a centralized AI governance framework with control points for visibility, manageability, and policy enforcement
• Lead the deployment of PHTN.AI alongside MuleSoft Agent Fabric as a comparative proof point on the current AI squad
• Identify AI infusion opportunities across Loss Mitigation (propensity scoring, predictive risk, shadow testing) and Sales & Distribution domains
• Design the AI pipeline architecture for nightly scoring jobs, digital twin models, and A/B testing in production
• Define the roadmap for marketing content automation and AI for Employee Experience (Vendor Management) use cases
• Provide recommendations on build-vs.-buy decisions for AI tooling and platforms
• Collaborate with data architect to ensure AI models are grounded in a well-structured data foundation

Must-have skills

• 8+ years in AI/ML strategy, architecture, or implementation roles
• Demonstrated experience designing AI governance and oversight frameworks
• Strong understanding of LLM-based agent orchestration and workflow automation
• Experience integrating AI/ML into business process redesign (not just model building)
• Hands-on familiarity with AI platforms, APIs, and orchestration tooling
• Ability to communicate AI concepts to non-technical business stakeholders

Nice to have

• Experience with PHTN.AI, MuleSoft, or Kong-based AI gateway patterns
• Background in financial services AI use cases (credit scoring, loss mitigation)
• Familiarity with digital twin modelling and shadow production testing
• Prior experience establishing AI governance at a large financial institution
• Knowledge of propensity modelling and customer behaviour prediction