Senior Manager, Data Science

Johnson & Johnson

Remote

Quick summary

Work type
Remote
Location
Remote
Salary
$137,000–$235,750 / yr
Posted
3 days ago
Closes
Jul 12, 2026

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $188k
This role $186k
$124k most similar roles pay here $248k

This role pays more than 54% of similar roles. Most pay $154,837–$221,957 — the shaded band above. At the midpoint, this role pays about $186k versus about $188k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 61 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 58 roles with salary data.

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View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Manager, Data Science

As a Senior Manager of Data Science at Johnson & Johnson, you will lead the strategic direction and execution governance for SSOT and J&J PHENIX platforms, focusing on commercial data science and analytics. Your day-to-day responsibilities include defining product roadmaps, translating business priorities into technical requirements, and ensuring seamless collaboration with Commercial, GCSO, RWE Global Council, Data Science, Technology, and platform teams. You will oversee the delivery of scalable analytics solutions using technologies like Databricks, Snowflake, AWS S3, Redshift, and Power BI, while maintaining robust data governance practices to ensure compliance and security. This role demands expertise in commercial pharma analytics, RWD/RWE, healthcare data, and experience with AI/ML-enabled insights within enterprise frameworks.

What you'll do

  • Define and own the product vision and roadmap for SSOT and analytics platforms.
  • Translate business priorities into a prioritized product backlog and release plan.
  • Facilitate regular stakeholder engagement and executive readouts for alignment.
  • Oversee implementation of data pipelines, automation, and advanced analytics frameworks.
  • Govern end-to-end analytics platform ecosystem to ensure security and compliance.

What we're looking for

  • Master’s degree in Data Science, Computer Science, Business, Engineering, or related field.
  • 8–12+ years of experience in product management, data platforms, analytics delivery, or enterprise data science products.
  • Proven ability to own and execute complex product roadmaps and backlogs for analytics solutions.
  • Hands-on expertise with modern data and analytics platforms like Databricks, Snowflake, AWS, Redshift, Power BI.
  • Strong understanding of commercial pharma analytics, RWD/RWE, healthcare data, and KPI-driven decision support.
  • Experience enabling AI/ML capabilities within governed enterprise frameworks, including responsible AI and compliance considerations.
  • Proven leadership in cross-functional global teams with influence over senior stakeholders and ability to manage competing priorities.
  • Expertise in Agile product lifecycle management, delivery governance, quality controls, and operational readiness for analytics platforms.

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