Lead Data Scientist & AI Developer

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through 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 humanity. Learn more at https://www.jnj.com

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Data Science Portfolio Management

Job Category:

Professional

All Job Posting Locations:

Santa Clara, California, United States of America

Job Description:

We are currently seeking a strategic and technically strong Lead Data Scientist & AI Developer to lead the development and deployment of machine learning and AI solutions across the enterprise. Candidates with strong Medical Technology background will be highly preferred.

This role is critical to enabling data-driven decision-making and business automation across commercial, supply chain, manufacturing, finance, clinical, regulatory, and quality teams.

You will leverage both Snowflake and Microsoft Azure AI platforms while integrating data from core enterprise systems such as Oracle Fusion Cloud, Salesforce, Manufacturing Execution Systems, Quality Management Systems, and Workday Adaptive Planning. Strong foundations in data engineering, Python, SQL, and Power BI are essential for success in this role.

Key Responsibilities:

• Design, develop, and deploy scalable machine learning, predictive analytics, and generative AI solutions

• Build data pipelines and modeling workflows using Snowflake (SQL, Snowpark, Cortex AI) and Azure AI (Azure ML, Azure OpenAI, Cognitive Services, Synapse)

• Collaborate with cross-functional stakeholders to define high-impact AI opportunities across business functions

• Integrate and model data from systems including Oracle Fusion Cloud (finance, procurement, supply chain), Salesforce (CRM and field engagement), Manufacturing Execution Systems, Quality Management Systems, and Workday Adaptive Planning

• Apply strong SQL and Python skills to clean, transform, and analyze large datasets

• Implement data quality checks and monitoring processes to ensure data accuracy and consistency.

• Develop and publish interactive dashboards and insights using Power BI

• Contribute to AI governance, documentation, version control, and performance monitoring

• Ensure all solutions align with internal policies for data quality, security, and compliance

• Mentor junior team members and help define best practices for enterprise AI delivery

Requirements:

• M.S. or Ph.D. in Data Science, Computer Science, Engineering, or a related technical field

• 8+ years of experience in applied machine learning and AI in enterprise settings

• Strong working knowledge of:

  • Python for data science and ML development

  • SQL for data manipulation and analytics

  • Power BI for reporting and visualization

  • Snowflake: SQL, Snowpark, Cortex AI

  • Microsoft Azure AI: Azure ML, OpenAI, Cognitive Services, Synapse

• Understanding of data integration across enterprise platforms such as Oracle Fusion Cloud, -Salesforce, and manufacturing systems

• Experience collaborating with cross-functional business teams

Preferred:

• Familiarity with MLOps practices and tools (e.g., MLflow, Airflow, GitHub Actions)

• Background in life sciences, medtech, or healthcare environments

• Excellent communication and stakeholder engagement skills

The anticipated base pay range for this position is $147,000 to $189,000.

The Company maintains highly competitive, performance-based compensation programs. Under current guidelines, this position is eligible for an annual performance bonus in accordance with the terms of the applicable plan. The annual performance bonus is a cash bonus intended to provide an incentive to achieve annual targeted results by rewarding for individual and the corporation’s performance over a calendar/performance year. Bonuses are awarded at the Company’s discretion on an individual basis. 

• Employees and/or eligible dependents may be eligible to particip