Manager Master Data Management, IMSC Operations

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 Function:

Data Analytics & Computational Sciences

Job Sub Function:

Multi-Family Data Analytics & Computational Sciences

Job Category:

People Leader

All Job Posting Locations:

Geel, Antwerp, Belgium, Little Island, Cork, Ireland

Job Description:

Digital & Data Science is one of the critical capability levers within our J&J Enterprise Supply Chain strategy and is crucial to building the world’s best supply chain organization! As the team continues to double-down on fact-based management – illuminating greater transparency and analytical capabilities across the performance indicators that will drive growth for our business – we must ensure that our energy, resources, capabilities, and talented employees are best-aligned to the advancing needs of our business and our customers.

The IMSC MDM Operations team delivers trusted data to enable the launch & supply of products to our customers. Our key accountabilities include governance and maintenance of the Master Data Operations Framework; delivering a standards-aligned and audit-ready data environment; using intelligent automation, workflow, process improvements, and third-party suppliers to improve quality, timeliness, cost, and effort across Supply Chain; applying deep end-to-end knowledge and subject matter expertise to define, shape and implement supply chain strategies; and cultivating talent as a distinctive capability.

The Manager is responsible for developing and managing Master Data analysts delivering master data services for Innovative Medicine Supply Chain across platforms, multiple domains and/or geographies. This role leads projects, ensures effective policy and strategy implementation, and provides operational and technical leadership. Will own the development of solutions to sophisticated problems, exercising independent judgement to make decisions which directly impact the operational results of the department.

Key Responsibilities

Lead all aspects of daily operations ensuring efficiency, compliance, and quality outcomes. Ensure SLA's exist and monitor response time. Lead and control data quality with partners to identify and implement improvements. Engage strategically with business partners by providing appropriate guidance on data management. Work with IT partners to develop new supply chain flows. Support New Product launches and business initiatives requiring in-scope data.

Support regional/global programs in alignment with department strategies. Implement and manage tools and processes to improve data management execution. Drive prioritization based on business needs and strategy.

Makes decisions guided by established policies, procedures, and business plans, while exercising independent judgment and appropriate decision‑making latitude.

Lead projects, including assessment, communication with partners and internal team members, specification of scripts and user stories, resource/budget requirements, and/or resolve resource constraints.

Develop and retain talent through coaching and engagement. Provide mentorship, direction, opportunities, development planning, and performance feedback in accordance with J&J Career Management processes.

Qualifications

Leadership Competencies:

Visionary Leadership: Develop and communicate a clear strategy for master data management within the organization.

Decision Making: Demonstrates the ability to make sound decisions under pressure with incomplete data while weighing organizational priorities.

Collaboration: Builds and maintains strong relationships across diverse teams, ensuring alignment on key initiatives.

Continuous Improvement: Champions process optimization, data quality enhancements,