RLT Systems Integration Governance Manager

Novartis Pharma Schweiz; Ivrea; In loco; EUR 70.000 - 100.000; Tempo pieno

Descrizione del lavoro

A global healthcare leader is seeking an RLT Systems Integration Governance Manager in Ivrea, Italy. This full-time role involves architecting the governance of data across key domains to enable operational readiness and continuous improvement. Ideal candidates should have a degree in a related field and solid experience in data governance. Responsibilities include maintaining data architecture, defining governance models, and enabling adoption of advanced analytics. Join us to contribute to transformative initiatives within the RLT Supply Chain.

Competenze

• Solid experience in data governance, process integration or cross-functional coordination within a regulated environment.
• Proven ability to lead transversal initiatives across planning, lifecycle management and operational domains.
• Experience in supporting transformation programs and organizational evolution.

Mansioni

• Design and maintain the overarching data architecture supporting RLT Supply Chain domains.
• Define governance models ensuring data integrity, ownership clarity, and lifecycle traceability.
• Establish scalable frameworks that support future growth and evolving regulatory requirements.

Conoscenze

Data governance

Cross-functional coordination

Process integration

People management

Fluency in English

Formazione

Degree in supply chain management, Data Governance, Business Process Management, or a related field

Descrizione del lavoro

RLT Systems Integration Governance Manager

Join to apply for the RLT Systems Integration Governance Manager role at Novartis Pharma Schweiz

Overview

This role is responsible for architecting the structure and governance of data across key domains of the RLT (Radio Ligand Therapy) Supply Chain, including Integrated Business Planning (IBP), Planning, Logistics, Product Lifecycle Management (PLM) and Artwork. It ensures that data and its supporting frameworks are designed and integrated to enable operational readiness, long‑term sustainability, and continuous improvement. A central objective is to establish a robust data architecture that supports the application of advanced analytics—such as machine learning and AI—to transform data into actionable insights, empowering Supply Chain Leadership to make informed decisions, enhance execution excellence, and deliver tangible outcomes such as improved forecast accuracy across short‑, mid‑ and long‑term planning horizons, scenario‑planning capabilities for supply and demand balancing, enhanced visibility and traceability across lifecycle and artwork operations, and streamlined governance and ownership clarity across interconnected domains.

Responsibilities

• Design and maintain the overarching data architecture supporting RLT Supply Chain domains.
• Define governance models ensuring data integrity, ownership clarity, and lifecycle traceability.
• Establish scalable frameworks that support future growth and evolving regulatory requirements.
• Lead the integration of data structures to enable seamless coordination across business functions.
• Support transformation programs by aligning architectural decisions with strategic priorities.
• Enable adoption of advanced analytics by building foundations for machine learning and AI.
• Monitor and report on data and systems/tools performance, identifying areas for improvement and driving corrective actions.
• Contribute to the development of digital enablers that enhance visibility, traceability, and efficiency across the data and systems landscape.
• Support the evolution of the organizational model ensuring its strategic positioning and contribution to transformation initiatives.
• Anchor technological factors in business decisions taken within RLT Supply Chain, ensuring its contribution to transformation and collaborate with stakeholders to ensure architectural alignment with business needs.

Qualifications

• Degree in supply chain management, Data Governance, Business Process Management, or a related field.
• Solid experience in roles related to data governance, process integration or cross‑functional coordination within a regulated environment.
• Proven ability to lead transversal initiatives across planning, lifecycle management and operational domain.
• Experience in supporting transformation programs and organizational evolution.
• Proven people management skills.
• Fluent in English.

Seniority level

• Mid‑Senior level

Employment type

• Full‑time

Job function

• Project Management and Information Technology

Industries

• Pharmaceutical Manufacturing