Senior Manager, Data Science

Overview 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 jnj.com As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit. Job Details Job Function Data Analytics & Computational Sciences Job Sub Function Data Science Job Category People Leader All Job Posting Locations Raritan, New Jersey, United States of America; Titusville, New Jersey, United States of America Job Description We are searching for the best talent for Senior Manager, Data Science About Innovative Medicine Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at Purpose 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. The role partners across Commercial, GCSO, RWE Global Council, Data Science, Technology, and platform teams to convert business priorities into scalable analytics capabilities, measurable portfolio outcomes, and trusted decision-support products. You Will Be Responsible For Product Strategy & Roadmap Ownership 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. Maintain a transparent roadmap governance model that balances new capabilities, technical debt, compliance needs, user adoption, and operational excellence. Business & Stakeholder Alignment 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. Facilitate regular stakeholder engagement, roadmap reviews, prioritization forums, and executive readouts to ensure alignment, transparency, and timely decision-making. Delivery of Data Science & Analytics Solutions 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. Partnership 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. Enable J&J Agentic Framework adoption for this portfolio by identifying agentic use cases, defining guardrails, aligning workflows to enterprise AI standards, and supporting responsible deployment of autonomous and assisted analytics capabilities. Platform & Data Ecosystem Management 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. Enable scalable, standardized, and reusable data pipelines across therapeutic areas while supporting interoperability, reliability, and cost-conscious operations. Partner with architecture, cybersecurity, privacy, compliance, and platform teams to ensure solutions are secure, compliant, supportable, and aligned to J&J enterprise standards. Business Impact Enable actionable insights across disease landscape, patient journey, market trends, share, performance metrics, launch readiness, and product lifecycle performance. Support launch excellence through KPI-driven dashboards, analytics products, and performance monitoring that improve speed, consistency, and decision confidence. Enable consistent and reliable RWE and analytics through centralized, reusable phenotype framework to strengthen the transparency and trust in data-driven decision-making across J&J. Define success metrics and adoption measures that demonstrate business impact, value realization, and continuous improvement across. Product Delivery & Execution Governance Lead agile product delivery across backlog prioritization, sprint planning, dependency management, release readiness, change management, and post-release adoption tracking. Ensure timely delivery of enhancements, new features, analytics solutions, and roadmap milestones while managing risks, issues, trade-offs, and stakeholder expectations. Coordinate cross-functional teams, including data scientists, data engineers, analysts, business product owners, platform teams, cybersecurity, privacy, compliance, and operations. Strengthen quality control processes through QC checks, anomaly detection, data validation, automated testing, and production readiness reviews. Leadership Responsibilities Serve as the accountable product leader, setting direction, prioritizing outcomes, and ensuring delivery aligns with business value, user needs, and strategic objectives. Lead cross-functional teams across business, data science, engineering, and platform groups to drive clarity, remove blockers, and maintain shared accountability for product success. Provide governance for product decisions, roadmap trade-offs, risks, escalations, and adoption barriers while fostering continuous improvement and measurable business impact. Champion a product mindset that emphasizes customer value, data trust, responsible AI enablement, operational excellence, and scalable enterprise adoption. Qualifications / Requirements 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. Communication: Strong ability to translate technical concepts for business leaders and influence cross-functional decisions. Experience working in healthcare is preferred. Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act. Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants’ needs. If you are an individual with a disability and would like to request an accommodation, external applicants please contact us via , internal employees contact AskGS to be directed to your accommodation resource. #JNJDataScience Required Skills Preferred Skills: The anticipated base pay range for this position is : The anticipated base pay rang for this position is $137,000 to $235,750 USD. Additional Description For Pay Transparency Subject to the terms of their respective plans, employees and/or eligible dependents are eligible to participate in the following Company sponsored employee benefit programs: medical, dental, vision, life insurance, short- and long-term disability, business accident insurance, and group legal insurance. Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)). This position is eligible to participate in the Company’s long-term incentive program. Subject to the terms of their respective policies and date of hire, Employees are eligible for the following time off benefits: Vacation –120 hours per calendar year Sick time - 40 hours per calendar year; for employees who reside in the State of Washington –56 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 Additional information can be found through the link below. #J-18808-Ljbffr