Managing Consultant - Data & AI (Wayfinders Consulting)

Job Location: New York City, New York, New Jersey, New York, New York, New York, New York City. New York, New York. New York

Location Flexibility: Multiple Locations in Country

Req Id: 11130

Posting Start Date: 8/7/26

At Fujitsu, we’re on a mission to create a more sustainable world by building trust in society through innovation. Since our inception in Japan in 1935, Fujitsu has consistently been at the forefront of technological advancement. Today, we stand as a global leader in digital transformation, dedicated to reshaping businesses and society in the digital age.

What truly sets us apart is our family of nearly 130,000 dedicated employees that spans over 50 countries, forming a diverse and dynamic community. We are committed to helping our employees grow and develop their careers. We believe that everyone has the potential to achieve great things, and we are dedicated to providing the resources and opportunities that our employees need to succeed.

We invite you to take the next step in your career journey and apply. Thank you for being a part of Fujitsu. We look forward to growing together toward a brighter future.

Wayfinders is Fujitsu’s new business and technology management consulting firm built for the AI era. The mission of Wayfinders is to help customers define how they should harness the power of technology to outperform their peers and drive new frontiers of growth and profitability. We help customers from opportunity to outcome; we work with them to develop their strategy, implement it at scale, and maximize their return on investment. We do all this by weaving AI into our consulting process and building our customers’ capabilities so they can leverage AI at scale across their enterprise.

Position Overview: Wayfinders Managing Consultant – Data & AI Managing Consultants are senior delivery leaders and AI system owners responsible for end-to-end solution architecture, engineering rigor, and client success. They ensure AI-first systems are designed, built, deployed, and governed to operate reliably at enterprise scale.

This role combines deep technical judgment with consulting leadership and accountability.

Key Responsibilities AI Architecture & System Ownership

• Define end-to-end AI architectures across data, models, agents, orchestration, and execution
• Determine when to use rules, ML, LLMs, or hybrid approaches
• Design systems for scalability, reliability, and security

Engineering, MLOps & Lifecycle Leadership

• Establish engineering standards, CI/CD patterns, and testing strategies
• Oversee deployment, monitoring, retraining, and evolution of AI systems
• Ensure data quality, model performance, and decision integrity
• Lead Responsible AI, governance, and risk mitigation efforts

Platform & Integration Leadership

• Make platform tradeoff decisions (e.g., Databricks vs. Snowflake vs. Palantir)
• Integrate AI systems with enterprise platforms (ERP, CX, supply chain)
• Define reusable reference architectures and accelerators

Client & Practice Leadership

• Act as a trusted advisor to senior client stakeholders
• Lead teams across Wayfinders and delivery organizations
• Contribute to proposal development, offering design, and IP creation
• Mentor Senior Consultants and Consultants

Required Skills & Experience Experience & Education

• 4–7 years of experience in consulting or equivalent industry roles
• Proven leadership of AI, data, or advanced analytics initiatives
• Bachelor’s degree required; advanced degree preferred

Technical & Architectural Expertise

• Deep experience with cloud-native data and AI platforms
• ML, LLMs, agentic systems, and decision workflows
• MLOps, monitoring, governance, and Responsible AI
• Strong architectural tradeoff and system-design skills

Leadership Competencies

• Executive communication and client leadership
• Team leadership and coaching
• Strategic thinking with delivery accountability

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. It is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the circumstances of each situation. The pay range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to: specific skills, qualifications, expe…