FUJITSU AT A GLANCE

Fujitsu is a leading information and communication technology company, headquartered in Japan, offering a full range of technology products, solutions, and services. Approximately 132,000 Fujitsu people support customers in more than 100 countries. We use our experience and the power of technology to shape the future of society with our customers.
Our corporate culture places great value on bringing new, unimagined possibilities to fruition. This mission has been the foundation of Fujitsu’s success since its inception 90 years ago. In an increasingly competitive world with an accelerating pace of change, Fujitsu must strive for continuous innovation. Each and every employee will rise to the challenge of creating new value amid changes in management, technology, society, and the marketplace. With a spirit of challenge, we are committed to the continuous creation of new value. Fujitsu wants innovators like you.
Wayfinders is Fujitsu’s new business and technology management consulting firm built for the AI era. Our mission is to help clients define how they should harness the power of technology to outperform their peers and drive new frontiers of growth and profitability. We help clients from opportunity to outcome, by developing strategy, implementing it at scale, and capturing ROI. Our approach weaves AI into the consulting process and focuses on building client capabilities to leverage AI at scale across the enterprise.

POSITION OVERVIEW: WAYFINDERS SENIOR MANAGING CONSULTANT – DATA & AI

We are seeking a dynamic and experienced Senior Managing Consultant to join our Data & AI practice. This role is ideal for a strategic thinker with expertise in enterprise-wide AI and data transformation programs. Experience aligning AI strategy initiatives with business goals and driving measurable outcomes. The ideal candidate will have a proven ability to translate complex data and AI challenges into business value, crafting compelling strategies and presenting C-suite-ready roadmaps, and driving adoption of data-driven decisions.

CONSULTING & INDUSTRY EXPERIENCE AND EDUCATION

• 5+ years, typically in consulting or equivalent industry leadership (e.g. Head of Data for a midsized company)
• Excels in storytelling and stakeholder facilitation, bridging technical (e.g., data engineers) and business audiences with persuasive narratives, building trust, and navigating client dynamics with finesse.
• Experience with US subsidiaries of Japanese multi-national firms is a plus.
• Advanced degree (PhD, MBA, MS in Data Science, or equivalent) from a top-tier institution preferred, though relevant experience can substitute

TECHNICAL & INDUSTRY KNOWLEDGE

• Skilled in designing scalable, cloud-native data architectures, integrating data lakes (e.g., Databricks Delta Lake), data warehouses (e.g., Snowflake, Google BigQuery), data meshes for decentralized ownership, and real-time streaming platforms (e.g., Apache Kafka, AWS Kinesis) to support dynamic use cases, e.g. logistics optimization, retail store transformation, & production optimization in manufacturing.
• Masterful in crafting data governance frameworks that ensure data quality, security, and compliance (e.g., GDPR, CCPA, CA AI Bill of Rights, CO Consumer Protections for AI). Ensures AI-ready data quality with lineage tracking and bias mitigation, to maintain compliance and fairness in large-scale AI deployments.
• Proficient in AI/ML concepts (e.g., supervised learning machine learning, deep learning, LLMs), with experience in frameworks like TensorFlow, PyTorch, or Hugging Face, especially as it pertains to data integration for model development and deployment.
• Designs robust data pipelines to support both traditional enterprise ETL use cases, as well as AI at scale, with knowledge of feature stores (e.g., Feast, Tecton) and vector databases (e.g., Pinecone, Weaviate) to manage high-dimensional data for real-time inference.
• Optimizes data infrastructure for AI workloads, leveraging contemporary orchestration tools (e.g. Airflow) and cloud cost tools to balance performance and expense for enterprise AI.