Senior Manager, Data Science

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.

• 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.

• Master’s degree in Data Science
• Master’s degree in Computer Science
• Master’s degree in Business
• Master’s degree in Engineering
• Master’s degree in Information Systems