Senior Manager, Data Science

Johnson & Johnson

Senior Manager, Data Science developing analytics platforms at Johnson & Johnson. Shaping product strategy, roadmap, and fostering global launch excellence.

Posted 6/26/2026full-timeTitusville • New Jersey • 🇺🇸 United StatesSenior💰 $137,000 - $235,750 per yearWebsite

Tech Stack

Tools & technologies

Amazon RedshiftAWSCloud

About the role

Key responsibilities & impact

This role is accountable for shaping and delivering the product strategy, roadmap, and execution governance for SSOT, J&J PHENIX and associated commercial data science and analytics platforms.
Define and own the product vision, long-term strategy, and measurable business outcomes for SSOT and associated analytics platforms.
Translate brand, and commercial priorities into a prioritized product roadmap, backlog, release plan, and adoption roadmap.
Partner with GCSO across TAs, Data Science, Technology, and platform leadership to ensure roadmap alignment with business performance objectives and enterprise architecture direction.
Serve as the interface between business owners including Global Commercial Insights leads across TA, PICs & PM Teams, DSI, RWE Global Council, and technology delivery teams, engineering & platform operations to strengthen the global launch excellence capabilities.
Gather, rationalize, and translate business requirements into actionable product features, analytics use cases, acceptance criteria, and adoption plans.
Ensure platforms deliver timely, scalable, governed, and reproducible insights that support commercial decision-making and portfolio performance management.
Oversee implementation of data pipelines, automation, feature engineering, analytics frameworks, dashboards, and reusable data products.
Partner with Data Science Chapter leads to drive adoption of AI/ML-enabled insights, AI-enabled conversational analytics, and advanced analytics capabilities that improve decision quality and business agility.
Govern the end-to-end analytics platform ecosystem, including data ingestion, transformation, storage, semantic layers, visualization, and consumption patterns across platforms such as Databricks, Snowflake, AWS S3, Redshift, and Power BI.
Maintain data quality, lineage, governance, privacy, access controls, and role-based security, including multi-level access models and AD group management.
Define success metrics and adoption measures that demonstrate business impact, value realization, and continuous improvement across.
Lead agile product delivery across backlog prioritization, sprint planning, dependency management, release readiness, change management, and post-release adoption tracking.

Requirements

What you’ll need

Master’s degree in Data Science, Computer Science, Business, Engineering, Information Systems, or a related field; advanced degree preferred.
8–12+ years of experience in product management, data platforms, analytics delivery, commercial insights, or enterprise data science products.
Demonstrated experience owning product strategy, roadmaps, backlogs, release planning, stakeholder engagement, and value realization for complex analytics or data products.
Hands-on familiarity with modern data and analytics platforms such as Databricks, Snowflake, AWS, Redshift, S3, Power BI, and related cloud-native data services.
Strong understanding of commercial pharma analytics, RWD/RWE, healthcare data, portfolio performance, launch excellence, and KPI-driven decision support.
Experience enabling AI/ML, Copilot, conversational analytics, or agentic AI capabilities within governed enterprise frameworks, including responsible AI, privacy & HIPPA compliance, security, and compliance considerations.
Proven ability to lead cross-functional global teams, influence senior stakeholders, resolve delivery blockers, and manage competing priorities across business and technology groups.
Expertise in Agile product lifecycle management, delivery governance, quality controls, data governance, and operational readiness for production analytics platforms.
Strong ability to translate technical concepts for business leaders and influence cross-functional decisions.
Experience working in healthcare is preferred.

Benefits

Comp & perks

medical, dental, vision, life insurance
short- and long-term disability
business accident insurance
group legal insurance
retirement plan (pension)
savings plan (401(k))
long-term incentive program
vacation – 120 hours per calendar year
sick time - 40 hours per calendar year
holiday pay, including floating holidays – 13 days per calendar year
work, personal and family time - up to 40 hours per calendar year
parental leave – 480 hours within one year of the birth/adoption/foster care of a child
condolence leave – 30 days for an immediate family member; 5 days for an extended family member
caregiver leave – 10 days
volunteer leave – 4 days
military spouse time-off – 80 hours

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

product strategyroadmap developmentanalytics frameworksdata pipelinesfeature engineeringAI/ML-enabled insightsagile product deliverydata governanceKPI-driven decision supportrelease planning

Soft Skills

stakeholder engagementcross-functional leadershipinfluence senior stakeholdersresolve delivery blockersmanage competing prioritiestranslate technical conceptscontinuous improvementchange managementcommunicationorganizational skills

Certifications

Master’s degree in Data ScienceMaster’s degree in Computer ScienceMaster’s degree in BusinessMaster’s degree in EngineeringMaster’s degree in Information Systems