Senior Managing Consultant - Data & AI (Wayfinders Consulting)
$168k - $216kFujitsu
New York, New York, Dallas, Texas, Austin, Texas, Boston, Massachusetts, California, Chicago, Illinois, Houston, Texas, New York, New York City, New York, Washington DC (District of Columbia)
Location Flexibility: Multiple Locations in Country
Req Id: 4743
Posting Start Date: 6/16/26
At Fujitsu, we are driven by our purpose to make the world more sustainable by building trust in society through innovation.
We are a corporate culture that places immense value on the pursuit of new, previously unimagined possibilities-and bringing them to fruition has been the foundation of Fujitsu's success since our inception. In an increasingly competitive world, in which the pace of change continues to accelerate, Fujitsu strives for continuous innovation. With a spirit of challenge and an innovative mindset, we are committed to creating new value for the world, our customers, and our employees. 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 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 multi-disciplinary teams, serve as the primary point of accountability for clients, and ensure that AI initiatives translate into durable business outcomes. This role combines client leadership, delivery ownership, and commercial accountability, while guiding teams that design, build, and operate AI-first systems in production environments. Engagement Managers are expected to shape how AI is applied to real business problems, manage risk and expectations, and ensure that Wayfinders' work delivers measurable impact at enterprise scale. Key Responsibilities Client & Engagement Leadership
- 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
- 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
At Fujitsu, one of our corporate principles is "We respect human rights." This principle underpins our corporate and individual activities and guides the actions of every Fujitsu Group member. We embrace diversity and equal opportunity. Qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. By empowering people, we can unleash our collective strengths to create a better experience for our employees, our customers, and our partners.
California Privacy Act: Relocation Supported: No
Visa Sponsorship Approved: No
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