Senior Analyst, Commercial Analytics & AI

Senior Analyst, Commercial Analytics & AI

Johnson & Johnson is recruiting for a Senior Analyst, Commercial Analytics & AI to join our US Med Tech Surgery business located at our Raritan, NJ site, with an alternate location of Cincinnati, OH.

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, more personalized treatments.

Are you passionate about improving and expanding the possibilities of surgery? Ready to join a team that's reimagining how we heal? Our Surgery team will give you the chance to deliver surgical technologies and solutions to surgeons and healthcare professionals around the world. Your contributions will help effectively treat some of the world's most prevalent conditions such as obesity, cardiovascular disease and cancer.

Patients are waiting!

Key Responsibilities:

• Lead advanced commercial analyses that evaluate customer engagement, campaign effectiveness, channel performance, sales impact, and business outcomes, translating insights into strategic recommendations for Marketing and Sales leadership.
• Contribute to the commercial analytics roadmap, identify scalable opportunities for analytics and AI enablement, and provide guidance to colleagues and partners on analytical methods, data interpretation, and solution adoption.
• Lead the shaping and ongoing management of commercial data products, semantic data models, KPI calculations, measurement frameworks, and curated datasets that power dashboards, reporting solutions, and AI-enabled analytics capabilities.
• Collaborate with Marketing, Education, Technology, Data Science and external agencies to deliver in-depth monthly tactical reporting and ongoing behavioral insights generation at the individual, customer segment, account, IDN and GPO levels.
• Partner with commercial and technology teams to lead and enable trusted data foundations and scalable analytics solutions that support consistent performance measurements across Marketing, Sales, Professional Education, and other commercial functions.
• Define, document, and maintain business rules, metric definitions, and data lineage to ensure consistent interpretation and use of commercial data assets.
• Collaborate with Data Science to shape Agentic AI solutions and conversational analytics capabilities that enable commercial users to access insights, answer business questions, and automate routine analytical tasks.
• Monitor AI solution performance, validate outputs, troubleshoot issues, and continuously enhance capabilities as business requirements and data ecosystems evolve.
• Partner with current AI contractor during solution development and ultimately assume responsibility for the ongoing management, optimization, support, and expansion of Agentic AI capabilities following implementation.
• Coordinate and lead cross-functional delivery with internal technology teams, Data Science, business partners, and external vendors to develop, automate, maintain, and troubleshoot commercial data pipelines and analytics products.
• Present findings and strategic recommendations to senior commercial leaders and influence decisions through data-driven storytelling.

Qualifications

• A minimum of a bachelor's degree required;
  Advanced degree preferred.
• Minimum of 5 years of relevant business experience in commercial analytics, marketing analytics, sales analytics, business analytics, or a related field, including at least 3 years of hands-on analytics experience with a proven track record of success is required
• Prior experience leading or independently delivering commercial analytics across marketing, sales, customer engagement, or related business functions is required;
  Experience with in Med Tech, healthcare, pharmaceutical, or another regulated industry is required
• Comprehensive understanding of commercial measurement and optimization, including KPI development, performance measurement, test-and-learn approaches, customer or campaign analytics, insight generation, and translating findings into recommended actions is required.
• Experience developing and maintaining semantic data models, data products, curated datasets, and reporting-ready data assets is required
• Familiarity developing, configuring, maintaining, and supporting Agentic AI solutions or AI-enabled analytics capabilities is required
• Experience with conversational analytics platforms, AI copilots, AI assistants, or agent-based analytics solutions is required
• Experience working with modern cloud-based data platforms and analytics environments such as Databricks is preferred
• Experience in query data access tools (i.e. SQL, Python, etc.) or other data access methods required
• Ability to work independently, lead complex analytics work streams, and take a proactive, results-oriented approach from problem definition through recommendation and implementation.
• Strong interpersonal, communication, and presentation skills.
• Ability to collaborate and lead teams in a complex, evolving environment and within a matrixed…