Senior Manager, Data Science
Johnson & Johnson
June 25, 2026
Remote friendly (Titusville, NJ)
United States
IT
Senior Manager, Data Science
Purpose
- Shape and deliver product strategy, roadmap, and execution governance for SSOT, J&J PHENIX, and associated commercial data science/analytics platforms.
You will be responsible for
- Define and own product vision, strategy, and measurable business outcomes; translate priorities into roadmap/backlog/release/adoption plans.
- Align stakeholders and convert business requirements into analytics use cases, acceptance criteria, and adoption plans.
- Ensure platforms deliver timely, scalable, governed, reproducible insights; oversee data pipelines, automation, feature engineering, frameworks, dashboards, and reusable data products.
- Drive AI/ML-enabled insights (including conversational analytics) and enable J&J Agentic Framework adoption with guardrails and responsible deployment.
- Govern the end-to-end analytics/data ecosystem (ingestion to consumption across Databricks, Snowflake, AWS S3/Redshift, Power BI), including quality, lineage, privacy, access controls, and security.
- Lead agile delivery, QC/testing, risk management, and cross-functional coordination.
Qualifications / Requirements
- Master’s degree (advanced degree preferred) in Data Science, Computer Science, Business, Engineering, Information Systems, or related field.
- 8–12+ years in product management and/or data platforms/analytics delivery/commercial insights/enterprise data science.
- Proven ownership of complex analytics product strategy/roadmaps and value realization.
- Hands-on familiarity with modern data/analytics platforms (Databricks, Snowflake, AWS, Redshift, S3, Power BI, cloud services).
- Strong understanding of commercial pharma analytics, RWD/RWE, healthcare data, portfolio performance, launch excellence, and KPI decision support.
- Experience enabling AI/ML/coplanilot/conversational/agentic AI in governed enterprise frameworks (responsible AI, privacy/HIPAA, security/compliance).
Preferred
- Experience working in healthcare.
Benefits (as stated)
- Medical, dental, vision; life insurance; short/long-term disability; business accident; group legal.
- Pension and 401(k) savings; long-term incentive eligible.
- Time off: vacation, sick time, holiday pay, floating holidays, work/personal/family time, parental leave, condolence, caregiver, volunteer, military spouse time-off.
Purpose
- Shape and deliver product strategy, roadmap, and execution governance for SSOT, J&J PHENIX, and associated commercial data science/analytics platforms.
You will be responsible for
- Define and own product vision, strategy, and measurable business outcomes; translate priorities into roadmap/backlog/release/adoption plans.
- Align stakeholders and convert business requirements into analytics use cases, acceptance criteria, and adoption plans.
- Ensure platforms deliver timely, scalable, governed, reproducible insights; oversee data pipelines, automation, feature engineering, frameworks, dashboards, and reusable data products.
- Drive AI/ML-enabled insights (including conversational analytics) and enable J&J Agentic Framework adoption with guardrails and responsible deployment.
- Govern the end-to-end analytics/data ecosystem (ingestion to consumption across Databricks, Snowflake, AWS S3/Redshift, Power BI), including quality, lineage, privacy, access controls, and security.
- Lead agile delivery, QC/testing, risk management, and cross-functional coordination.
Qualifications / Requirements
- Master’s degree (advanced degree preferred) in Data Science, Computer Science, Business, Engineering, Information Systems, or related field.
- 8–12+ years in product management and/or data platforms/analytics delivery/commercial insights/enterprise data science.
- Proven ownership of complex analytics product strategy/roadmaps and value realization.
- Hands-on familiarity with modern data/analytics platforms (Databricks, Snowflake, AWS, Redshift, S3, Power BI, cloud services).
- Strong understanding of commercial pharma analytics, RWD/RWE, healthcare data, portfolio performance, launch excellence, and KPI decision support.
- Experience enabling AI/ML/coplanilot/conversational/agentic AI in governed enterprise frameworks (responsible AI, privacy/HIPAA, security/compliance).
Preferred
- Experience working in healthcare.
Benefits (as stated)
- Medical, dental, vision; life insurance; short/long-term disability; business accident; group legal.
- Pension and 401(k) savings; long-term incentive eligible.
- Time off: vacation, sick time, holiday pay, floating holidays, work/personal/family time, parental leave, condolence, caregiver, volunteer, military spouse time-off.