Regional AI & Data Project Manager (Japanese Speaking)

About the role

From business process re-engineering to global business expansion for Japanese corporations, ABeam Consulting has served our clients through more than 40 years of growth. With our vision of being the No.1 global consulting firm from Asia, ABeam Consulting helps our clients take on the challenge of business transformation. With 4,400 consultants in Japan, and 3,100 in overseas offices concentrated in Asia, our 7,500 consultants and global alliance partners provide truly comprehensive services.

Responsibilities

• Engage with the client's AI Centre of Excellence (CoE) and key business stakeholders to define AI strategy, implementation roadmap, and governance across APAC.
• Conduct research and analysis on AI regulations, Responsible AI guidelines, information security requirements, and operational constraints across APAC countries.
• Collaborate with solution architects and business stakeholders to assess regional AI platforms, data ecosystems, and technology landscape supporting AI initiatives.
• Identify, assess, and prioritize AI and dataanalytics use cases by working closely with regional business units and branchoffices.
• Support the design, implementation, and adoption of Generative AI and AI-enabled business solutions to improve operational efficiency and business value.
• Facilitate workshops and discussions withbusiness users to gather requirements, define target operating models, anddrive AI and data transformation initiatives.
• Design and deliver AI adoption, data governance, and data literacy training programs to regional users and stakeholders.
• Establish, refine, and operate enterprise AI governance and data governance frameworks, policies, standards, and operating procedures to ensure regulatory compliance and effective adoption.
• Execute enterprise data governance initiatives by translating strategic objectives into actionable implementation plans and measurable deliverables.
• Analyze and document enterprise data flows, data aggregation processes, data ownership, and reporting lineage across multiple source systems.
• Support the implementation and adoption of enterprise data lineage, metadata management, and data governance tools and best practices.
• Collaborate with cross-functional teams including business, technology, data engineering, and data science teams to ensure successful AI and data solution delivery.
• Apply industry best practices and lessons learned from previous AI, data governance, and analytics initiatives to accelerate project delivery and business outcomes.

Requirements

• Bachelor's degree in Computer Science, Information Systems, Data Science, Engineering, Business, or a related discipline.
• Minimum 3years of experience in AI implementation, data analytics, data governance, orenterprise data management, preferably within the banking or financial servicesindustry.
• Experience working on AI, Generative AI, data analytics, or digital transformation initiatives across APAC.
• Prior consulting experience in a consulting firm, or experience as a Business Analyst, Product Owner, or Project Manager delivering banking transformation initiatives.
• Strong understanding of enterprise data governance, data quality, data lineage, metadata management, and data lifecycle management.
• Good understanding of AI governance, Responsible AI principles, and regulatory considerations relating to AI adoption.
• Strong understanding of banking operations, business processes, and enterprise data management within financial institutions.
• Strong analytical and problem-solving skills with the ability to evaluate complex business and data-related challenges.
• Proven consultant skillset, including logical thinking, issue resolution, effective communication, meeting facilitation, and documentation.
• Demonstrated stakeholder management experience, with the ability to coordinate across diverse teams and regions.
• Strong communication skills in both English and Japanese (in order to communicate effectively with Japanese speaking clients).
• Self-motivated, adaptable, and able to manage multiple initiatives in a fast-paced consulting environment.
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