Senior Managing Consultant - Data & AI (Wayfinders Consulting)

FUJITSU LIMITED（JAPAN）; New York (NY); On-site; USD 168,000 - 216,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Performance-based incentives

Job summary

Join FUJITSU LIMITED（JAPAN） as a Wayfinders Engagement Consultant specializing in Data & AI. You will own complex client engagements while leading multidisciplinary teams to ensure successful delivery of AI initiatives.

The role requires 6-10 years of experience in consulting, strong communication skills, and an understanding of modern AI systems. Enjoy benefits like health insurance and a competitive salary range of $168,000 – $216,000 annually.

Qualifications

• 6–10 years of experience in consulting or industry leadership roles.
• Proven ownership of complex data, analytics, or AI engagements.
• Ability to assess architectural and tooling decisions.

Responsibilities

• Own day-to-day client leadership for complex AI and data engagements.
• Translate business objectives into executable AI and data delivery plans.
• Ensure engineering discipline, testing, and MLOps practices are applied.

Skills

Consulting experience

Data and AI engagement ownership

Cloud-based data platforms

MLOps knowledge

Client-facing communication

Education

Bachelor's degree

Advanced degree preferred

Job description

Position Overview

Wayfinders Engagement Consultant – Data & AI. Engagement Managers are senior client and delivery leaders responsible for owning complex AI and data engagements from initial framing through sustained value realization. They lead multidisciplinary teams, serve as the primary point of accountability for clients, and ensure that AI initiatives translate into durable business outcomes.

Key Responsibilities

• Own day-to-day client leadership for complex AI and data engagements
• Partner with client business, data, and technology leaders to frame problems and define success metrics
• Translate business objectives into executable AI and data delivery plans and roadmaps
• Manage scope, risks, dependencies, and stakeholder expectations throughout the engagement lifecycle
• Provide hands‑on technical leadership across AI and data workstreams without being the primary engineer
• Guide solution design across data pipelines, ML models, LLM‑based systems, agents, and orchestration layers
• Validate architectural decisions for scalability, reliability, security, and maintainability
• Drive alignment on when to use rules‑based logic, ML, LLMs, or hybrid approaches
• Act as the first escalation point for complex technical, architectural, or delivery challenges
• Lead teams of Managing Consultants, Senior Consultants, and Consultants across multiple workstreams
• Ensure engineering discipline, testing, and MLOps practices are applied consistently
• Oversee deployment, monitoring, and lifecycle management of AI systems in production
• Ensure Responsible AI, data governance, and security standards are upheld
• Coach and develop delivery leaders and high‑potential team members
• Set clear expectations for technical quality, delivery rigor, and professional growth
• Support staffing, onboarding, and performance management in partnership with leadership
• Support opportunity shaping, proposals, and client expansion efforts
• Contribute to development of reusable delivery patterns, playbooks, and accelerators
• Share lessons learned and best practices across the Wayfinders community

Required Skills & Experience

• 6–10 years of experience in consulting or equivalent industry delivery leadership roles
• Proven ownership of complex data, analytics, or AI engagements
• Bachelor’s degree required; advanced degree preferred
• Strong understanding of modern AI and data systems, including:
• Cloud‑based data platforms and pipelines
• ML and advanced analytics solutions
• LLM‑based systems (prompting, RAG, agents)
• Orchestration, deployment, and monitoring patterns
• Ability to assess and guide architectural and tooling decisions without needing to code daily
• Experience delivering production AI systems with attention to reliability, drift, and operational risk
• Working knowledge of MLOps, Responsible AI, and enterprise data governance
• Strong client‑facing communication and stakeholder management skills
• Ability to lead cross‑functional teams and manage ambiguity
• Structured problem solving with a bias toward action and outcomes
• Ability to balance speed, quality, and technical debt

Compensation & Benefits

Pay range: $168,000 – $216,000. Eligible for short‑term incentive based on company results and individual performance. Benefits include health, 401(k), and other standard offerings.

Relocation & Visa

Relocation supported: No. Visa sponsorship: No.

Equal Opportunity & Diversity

Fujitsu is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, marital status, or any other characteristic protected by law. We are committed to creating a diverse and inclusive workplace where everyone can thrive.

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