Position Summary:
This senior leadership role is responsible for guiding data and AI strategy within a consulting environment, reporting directly to the Head of Insights & Data. The position involves managing a team of approximately 40 professionals across disciplines such as applied AI, data architecture, engineering, visualization, and ERP analytics. The role also includes strategic advisory to executive-level clients, primarily in financial services, and driving business development and delivery excellence.
Key Responsibilities:
Support day-to-day operations and leadership of a multidisciplinary data and analytics team
Serve as a strategic advisor to senior clients, particularly in insurance, banking, and capital markets
Lead client engagements from initial opportunity through delivery, ensuring measurable business impact
Drive business development activities including proposal creation, client presentations, and deal closure
Take ownership of revenue targets, team utilization, and performance metrics
Represent the Tokyo office in regional and global forums, contributing to thought leadership and innovation
Maintain a strong in-office presence while balancing remote work flexibility
Qualifications:
Experience:
Minimum 10 years of experience in consulting or industry roles focused on data and digital transformation, particularly within financial services
Strong technical foundation with recent experience in strategic advisory and business development
Deep expertise in data strategy, applied AI/ML, and enterprise data architecture
Proven ability to lead complex programs and manage large teams across multiple workstreams
Experience owning project P&L and consistently meeting revenue goals
Strong client-facing skills with the ability to engage senior stakeholders and lead executive-level discussions
Language:
Native-level proficiency in either Japanese or English
Fluent proficiency in the other language (JLPT N2 or higher required for Japanese speakers, with at least 3 years of work experience in Japan)
Education:
Bachelor’s degree in Computer Science, Engineering, Business, or a related field
Master’s degree (MBA or equivalent) preferred, especially with a focus on strategy, analytics, or digital transformation