Senior Managing Consultant - Data & AI (Wayfinders Consulting)

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

• Experience & Education: 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
• Technical & Delivery Competency: 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
• Leadership & Client Competencies: 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

Pay & Benefits

Fujitsu salaries are aligned to the specific geographic location in which the work is primarily performed. The pay range for this role is estimated between $168,000 and $216,000. Additionally, this role may be eligible for a short-term incentive based on company results and individual performance.

At Fujitsu, we are committed to creating a diverse and inclusive workplace where everyone feels valued and respected. We believe that diversity and inclusion are essential to our success, and we are committed to creating an environment where all employees can thrive.

We are an equal opportunity employer and qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, marital status, sexual orientation, gender identity or expression, genetic information, veteran status, or any other characteristic protected by law.