Business Analyst – GenAI & AI Data Solutions
ABOUT THE ROLE
Axtria is seeking a Business Analyst to support the growth of its AI & Data practice, with a focus on GenAI-powered solutions for pharma and life sciences clients in Japan and the broader APAC region. You will bridge senior client stakeholders and Axtria's delivery teams — translating business challenges into AI use cases powered by ChatGPT Enterprise, Microsoft Copilot Studio, and AWS Bedrock — and ensuring seamless execution across onsite and offshore teams.
CLIENT-DEPENDENT AI PLATFORMS
As with delivery teams, BA engagement varies by client platform. Candidates should be comfortable discussing and working across all three.
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 Axtria's 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
- 2–5 years of experience in business analysis, product analysis, or program coordination in a technology or data-driven environment.
- Business-level or native Japanese (JLPT N2 or above); strong professional English communication and writing skills.
- 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 Axtria's 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 committed to building diverse AI teams.