Senior Consultant – AI Strategy

Role Overview

• The Sr. Consultant of AI Strategy will be a critical strategic leader driving innovative AI transformation for clients.
• Working alongside our AI Solutioning and Governance teams, this role will serve as a pivotal bridge between innovative AI technologies and strategic business outcomes.
• Bringing deep expertise in AI strategy, the Senior Consultant will provide our clients with guidance and leading frameworks to build successful programs for our consulting teams, transforming how their organizations conceptualize, implement, and derive value from artificial intelligence.
• Key responsibilities include developing forward-looking AI adoption frameworks, identifying emerging technological opportunities, and crafting holistic AI strategies that align with clients' long-term business objectives.
• This role supports the identification and qualification of AI use cases, focusing on creating transformative AI roadmaps that drive competitive advantages, operational efficiency, and innovation across diverse industries.

Requirements

• Bachelor’s degree required, advanced degree/certifications preferred.
• 5+ years’ experience leading technical consulting engagements with a focus on data science, data transformation, AI/data architectures, advanced analytics, or similar platform implementation
• 5+ years’ experience developing successful data science, advanced analytics, or AI deployment and integration strategies.
• Understanding of generative AI-related concepts, including retrieval augmented generation (“RAG”), MCP, quantization, Agentic AI, and prompt engineering.
• Familiarity with common AI and Machine Learning technologies, methods, tools (e.g., GitHub, PyTorch, TensorFlow, etc.), cloud platforms (e.g., AWS, Azure, GCP), programming languages (Python, R, etc.), and data architecture patterns.
• Comfortable with leading a room of diverse stakeholders towards identifying and prioritizing AI opportunities.
• Relevant AI/ML certifications preferred but not required (e.g., Azure Machine Learning Specialty, Google Cloud Professional Machine Learning Engineer, etc.).
• Up-to-date understanding of AI industry trends and emerging technologies.
• Highly organized, detail-oriented, excellent time management skills, and able to effectively prioritize tasks in a fast-paced, high-volume, and evolving work environment.
• Ability to approach customer requests with a proactive and consultative manner; listen and understand user requests and needs, and effectively deliver.
• Strong influencing skills to get things done and inspire business transformation.
• Excellent oral, written communication, and presentation skills with an ability to present AI-related concepts to C-Level Executives and non-technical audiences.
• Conflict negotiation and critical thinking skills and agility.
• Ability to travel when needed.

Tech Stack

• AWS
• Azure
• Cloud
• Google Cloud Platform
• Python
• PyTorch
• Tensorflow

Benefits

• Comprehensive medical, dental and vision plans for you and your dependents
• 401(k) Retirement Plan with Employer Match, 529 College Savings Plan, Health Savings Account, Life Insurance, and Long-Term Disability
• Competitive Compensation
• Training and development programs
• Major offices stocked with snacks and beverages
• Collaborative and cool culture
• Work-life balance and generous paid time off