Job Description Summary

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