Medical Data Enablement Manager

Manager - Medical Data Enablement

Job Description Summary

Make a meaningful impact by leveraging your expertise to transform lives! Come work for Novartis, where inspired and curious minds thrive together. We are seeking to hire a Manager - Medical Data Enablement who will be responsible for delivering data enablement and operational plans to functions imperative to medical data.  

Job Description

Key Responsibilities

• Guide the creation and delivery of medical data enablement deliverables with high accuracy, quality, and timeliness.
• Design, develop, and maintain data enablement solutions optimized for a dynamic, evolving infrastructure landscape.
• Support leadership through clear documentation, communication, and continuous visibility of project progress.
• Create and maintain SOPs, quality checklists, and standards to ensure consistent, high‑quality outputs.
• Drive knowledge‑sharing initiatives within the function to strengthen capability, alignment, and best‑practice adoption.
• Ensure transparent, exemplary communication with internal teams and stakeholders, providing regular updates on achievements, metrics, staffing, and key events.
• Lead the delivery of multiple projects across franchises and cross‑functional teams, ensuring alignment to KPIs and timelines.
• Develop, coordinate, and track project plans across design, development, and production stages to ensure successful execution.
• Proactively identify risks, conflicts, and resource gaps, supporting smooth delivery across the portfolio.
• Provide strategic consultancy and analytics-driven insights to guide commercialization decisions and influence optimal business outcomes.

Essential Requirements

• Bachelor’s degree in business, Marketing, Data/Analytics, Life Sciences, or a related field.

• 8+ years of experience in a data enablement role, preferably in Real-World Evidence (RWE) or medical data environments.
• Hands-on experience with data tools such as SQL, DataIKU, PowerBI, Python, NLP/AI, Jira, etc.
• Familiarity with US medical datasets or platforms such as Optum, EHR, HealthVerity, Data42.
• Proven experience delivering multiple complex projects across functions and therapeutic areas.
• Exposure to pharma / life sciences industry (preferred).

• Strong analytical mindset and learning agility and excellent communication and presentation skills.
• Strong project coordination and planning capabilities.
• Ability to identify risks, resolve dependencies, and manage cross-functional workflows effectively.

Desired Skills

• Strong stakeholder management, people management, and leadership abilities.
• Awareness of key performance and execution KPIs specific to medical data insight generation.
• Knowledge of NLP/AI-driven data processing approaches.
• Ability to collaborate across geographies and operate in matrixed teams.

Skills Desired

Agile Management, Agile Methodology, agile project, Agile Project Management, Agile Projects, Collaborating, Cross-Functional Teamwork, Data Engineering, Dataiku Data Science Studio (DSS), ETL Tools, Extract Transform Load (ETL), healthcare, Health Care, jira, Life Science, Life Sciences Industry, Microsoft Excel, Pharmaceutical Industry, Python (Programming Language), real world evidence, Real World Evidence (RWE), Scrum (Agile), sql, Sql (Structured Query Language), Structured Query Language (SQL)

Experience Level

Senior Level