Manager, Insights Engineering & Innovation, Medical Affairs, Japan

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at

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Job Description:

The Manager Insights Engineering & Innovation will lead the insight analytic function within Medical Affairs (MAF) delivering timely accurate and actionable insights to inform strategic decisionmaking. This role is also responsible for designing and operationalizing AI-driven solutions/automation (including GenAI and conversational AL) that produce measurable business outcomes. The successful candidate will combine handson technical expertise (for example data engineering ML/NLP engineering MLOps) with strong people and stakeholder management skills to scale reliable compliant and costeffective analytics and automation capabilities into production.

Core Responsibilities

Define and execute the insight analytics and innovation roadmap for MAF ensuring alignment with organizational priorities and prioritizing initiatives by business impact and feasibility.

Lead the endtoend lifecycle for AI data science and intelligent automation initiatives including problem framing data discovery model development (e.g. traditional ML deep learning LLMs) validation deployment monitoring and continuous improvement.

Build and operationalize GenAI/LLM and NLP capabilities: chatbot/voice-bot retrieval-augmented generation (RAG) fine-tuning and continual learning prompt engineering evaluation frameworks (accuracy confidence explainability).

Ensure data integrity by establishing and enforcing standards for data quality lineage provenance and documentation; implement best practices for reproducibility version control and change management.

Translate complex quantitative analyses into clear actionable recommendations.

Partner with business stakeholders to identify highvalue automation/innovation opportunities define success metrics and measure realized business impact.

Collaborate with Capabilities & Digital Excellence team members to design build and maintain reports dashboards and selfservice analytics that enable datadriven decision making across the organization.

Promote adoption of AI and intelligent automation across MAF by developing implementation playbooks runbooks and training materials.

Establish monitoring and governance for deployed models and automations including performance tracking drift detection retraining triggers and rollback procedures.

Manage crossfunctional delivery: coordinate with data engineering IT regulatory/compliance and vendor partners to ensure secure scalable and costeffective deployments.

Mentor and develop analytics talent fostering a culture of rigorous analytics experimentation and continuous improvement.

Qualification:

• Master MBA Data science engineering or related major;
• Prior experience in pharmaceutical documentation processes and medical liaison activities preferred.
• Handson experience with data engineering/science analytics MLOps and cloud data platforms (AWS/Azure).
• Strong SQL and Python skills ETL/pipeline design familiarity with data visualization tools (tableau PowerBI) and model monitoring frameworks.
• Excellent analytical and problem-solving abilities.
• Practical experience with NLP and GenAI (LLMs) including RAG fine-tuning prompt engineering and evaluation.
• Experience building conversational AI (chatbot and voice bot) solutions end-to-end.
• Demonstrated experience deploying AI/automation solutions in regulated environments and managing stakeholder expectations at senior levels.
• Excellent communication project prioritization and leadership capabilities.
• Project management and/or process excellence skills are an advantage

JOB SPECIFIC COMPETENCIES/SKILLS REQUIRED:

• Exceptional communication presentation and stakeholder management skills in both Japanese and English.
• Deep understanding of ML/AI frameworks and tools (NN CNN LLM PyTorch/TensorFlow Transformers vector search)
• Strategic agility Digital analytics & omnichannel Presentation skills and business acumen desirable
• Adherence to Johnson & Johnson Credo values and International Health Care Business Integrity Guide

< For Internal Applicants >

• Based on your experience and interview evaluation the position title and level may vary.

• If you are Japan employee please read Internal Application Guideline in Ask GS. Especially if you are less than 18 months in your current role you are required to obtain application approval from your current manager as well as your respective BUHR. If you are Japans employee you are not able to apply for multiple positions at once.

• For Employee Referral Program (ERP) please read and understand the details of theInternal Referral Overview on the Ask GS and you have made a compliant referral.

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