AI/Data Consultant

Nexus CorporationTokyo, TokyoOn-siteFull-timeStaff, 8–12 yearsListed 2 hours ago

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About this role

We are looking for professionals to lead advanced AI and Data initiatives that drive business transformation and organizational growth. The role involves developing AI/Data strategies, driving implementation and adoption, and connecting business leaders with technology teams.

Job Responsibilities:

- Develop AI/Data strategies and support implementation in business divisions.
- Drive business improvement using AI, ML, data platforms, BI, automation, and related technologies.
- Serve as a bridge between executives, business leaders, frontline managers, and engineers.
- Lead transformation projects with business, technology, and executive stakeholders.
- Negotiate and build consensus among stakeholders with differing priorities.
- Plan and manage project budgets while maximising ROI.
- Support group-wide AI process standardisation and cross-business initiatives.
- Drive implementation, adoption, and business outcomes for AI/Data initiatives.
- Lead AI/Data initiatives across multiple business services and drive business transformation from strategy through execution.

### Requirements
The ideal candidate should have the following experience, skills, and qualifications:

- 5+ years of practical experience in a strategy or general consulting firm, or in a business company in DX/AI promotion.
- Experience driving transformation projects involving multiple businesses or departments.
- Experience serving as a bridge among executives, business leaders, frontline managers, and engineers.
- Proven ability to organize and integrate diverse opinions and expectations, derive optimal solutions, and lead consensus-building among stakeholders.
- Ability to break down highly abstract issues into actionable roadmaps.
- Ability to organize key issues and guide stakeholders toward a direction even in highly uncertain situations.
- Ability to discuss AI/Data utilization regarding business outcomes, rather than treating AI/Data utilization as an end in itself.
- Ability to balance practical coordination based on frontline realities with storytelling that resonates with executives.
- Perspective of horizontal deployment, standardisation, and systemization, rather than focusing only on local optimization.
- Ability to move things forward even when conditions are not perfect, with a Get Things Done mindset.
- Aspiration to lead a team in the future while continuing to deliver results as an individual contributor.

Preferred Qualifications:

- Management experience with a team of five or more members.
- Experience with stakeholder management within global or multinational teams.
- Track record of driving business improvements using AI, machine learning, data platforms, BI, automation, and related technologies.
- Experience working end-to-end beyond PoC, including production implementation, operational adoption, and KPI improvement.
- Experience driving initiatives from an internal consulting, CoE, or Transformation Office position.
- Experience managing or planning departmental budgets.