Business Analyst – GenAI & AI Data Solutions
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Job Summary
ABOUT THE ROLE
CLIENT-DEPENDENT AI PLATFORMS
As with delivery teams BA engagement varies by client platform. Candidates should be comfortable discussing and working across all three.
Location: Tokyo - Hybrid (3 days onsite)
Microsoft Copilot Studio Copilot use case scoping Power Platform workflows Teams-based assistant rollout Adoption & change mgmt | ChatGPT Enterprise Enterprise rollout support Prompt governance Use case discovery Policy & data privacy alignment | AWS Bedrock Bedrock use case scoping RAG-backed assistants Knowledge base requirements Acceptance criteria |
KEY RESPONSIBILITIES
- Engage directly with senior client stakeholders (VP / C-suite level) in Japanese and English to understand business needs present GenAI use cases and drive alignment on AI & data initiatives.
- Document requirements process flows and data needs for AI solutions built on ChatGPT Enterprise Copilot Studio or AWS Bedrock depending on client platform.
- Develop business cases capability roadmaps and executive-level presentations for GenAI programs within pharma commercial R&D and operations functions.
- Act as the primary liaison between onsite client teams in Japan and Axtrias offshore delivery centres ensuring clarity quality and on-time execution.
- Support scoping acceptance criteria definition and UAT for AI product features Copilot Studio assistants and data solution releases.
- Support ChatGPT Enterprise and Copilot Studio rollouts including change management user adoption planning and governance framework alignment.
- Track program milestones risks and escalations; prepare structured status reports and executive dashboards for senior stakeholders.
- Conduct competitive benchmarking and landscape analysis on GenAI adoption trends relevant to pharma and life sciences.
REQUIRED QUALIFICATIONS
- 25 years of experience in business analysis product analysis or program coordination in a technology or data-driven environment.
- Practical understanding of GenAI technologies: LLMs ChatGPT Enterprise prompt engineering RAG AI agents and responsible AI.
- Working familiarity with at least one of: Microsoft Copilot Studio ChatGPT Enterprise or AWS Bedrock able to discuss use cases capabilities and limitations with technical teams and clients.
- Proven ability to engage communicate and build trust with senior stakeholders across cultures and geographies.
- Demonstrated experience working effectively in an onsite/offshore delivery model across time zones.
- Proficiency in PowerPoint Excel and project tools such as Jira Confluence or equivalent.
PREFERRED QUALIFICATIONS
- Domain knowledge in pharma commercial operations sales force analytics R&D or medical affairs is a strong advantage.
- Experience supporting ChatGPT Enterprise or Copilot Studio rollouts including change management and user adoption.
- Familiarity with AWS data services Power Platform or Axtrias AI product suite.
- Experience with agile / scrum delivery methodologies and sprint-based project cadences.
- Prior exposure to data governance MDM or Informatica IDMC concepts in a client-facing context.
SKILLS & COMPETENCIES
ChatGPT Enterprise | Copilot Studio | AWS Bedrock | GenAI literacy |
Stakeholder management | Business case development | Executive presentations | Onsite/offshore model |
Pharma domain | Agile delivery | Japanese (N2) | Process mapping |
Axtria is an equal opportunity employer and is committed to creating an inclusive environment for all employees.
Required Experience:
Junior IC
About Company
Driving better health outcomes for life sciences and pharma with AI-driven data management, analytics, commercial strategy and omnichannel experience
