Sr Manager Data Analytics

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 https://www.jnj.com

Job Function

Data Analytics & Computational Sciences

Job Sub Function

Business Intelligence

Job Category

Professional

All Job Posting Locations:

Zug, Switzerland

Job Description

About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow. Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way. Learn more at https://www.jnj.com/innovative-medicine.

IM Transcend is an E2E global business transformation program that will modernize our foundational transactional processes and harmonize them into a standardized platform for growth, agility, and efficiency gains.

The program will simplify the SAP ERP landscape, standardizing processes to have a cost effective, fit for purpose digital backbone that will enable us to support the IM business with agility. Additionally, the program will remediate the end-of-life system exposure that we risk towards the end of this decade.

Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion. Apply today for this exciting opportunity!

As the Sr. Manager - Data Analytics for Transcend Make and Quality, you will drive the comprehensive design and strategy of data and analytics solutions. Collaborating with cross-functional teams across all regions, you will ensure alignment with global organizational goals, leveraging industry best practices in data governance, advanced analytics, and integrated reporting.

Key Responsibilities

• Work with functional leads and business teams to incorporate supply chain specific needs into business requirements while remaining aligned with procedures and global standards.
• Own & manage business requirement backlog and ensuring SAP S/4 clean core alignment.
• Design and manage global templates for analytics in collaboration with key stakeholders (IM Transcend teams; IMSC Data Strategy and Operations)
• Drive standardization initiatives to improve efficiency and consistency across regions.
• Define governance policies to ensure the accurate use, updates, and maintenance of the global analytics and related templates.
• Regularly audit and refine templates based on user feedback and changing business needs.
• Provide detailed business requirements (BUS) to deployment teams.
• Support the technical deployment.
• Serve as a central point of contact for template users across the organization during the project.
• Act as an inspiring leader and key advisor on emerging trends in data management and analytics technologies
• Lead all aspects of data products life-cycle management related activities.
  
  

Qualifications

Education:

• Minimum of a Bachelor's/University or equivalent degree is required; focused degree in Supply Chain, Data & Analytics, or related field is preferred
  
  

Experience And Skills

Required:

• At least 8 years of work experience
• Proven track record of managing data assets and ensuring data quality and governance
• Strong understanding of data lifecycle management, data modelling, and data architecture principles
• Familiarity with data governance tools, data management platforms, and data quality management practices
• Strong background with SAP S/4
• Deep knowledge of the supply chain operations, including understanding processes, rules, and data requirements
• Good Data Strategy facilitator to help drive business impacts
• Great collaboration skills and ability to interpret end user needs
  
  

Preferred

• Experience in the Pharmaceuticals and/or Healthcare industries
• Technical expertise and knowledge for digital solution implementation and deployment.
• Demonstrate software programming expertise and advanced database knowledge
• Combined business acumen with data modelling background
• Experience shaping data service levels agreement with different end user groups
• Knowledge in data lifecycle management procedures and standard methodologies
• Demonstrates analytics skills and critical thinking
• Leading with purposes and sense of urgency
  
  

Other

• This position may require up to 20% of domestic or international travel
• Requires the ability, through our flexible work policy, to work on-site a minimum of three days each week, with the option for two remote workdays each week
  
  

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings, we recommend focusing on the specific country(s) that align with your preferred location(s):

United States - Requisition Number: R-046024

Switzerland - Requisition Number: R-046024

Belgium, & Italy - Requisition Number: R-050429

Remember, whether you apply to one or all of these requisition numbers, your applications will be considered as a single submission.

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com.]

Required Skills

Preferred Skills:

Advanced Analytics, Business Behavior, Business Intelligence (BI), Controls Compliance, Cross-Functional Collaboration, Data Analysis, Data Governance, Data Privacy Standards, Data Quality, Information Security Risk Management, Management Systems Implementation, Organizing, Performance Measurement, Tactical Planning, Team Management, Technical Credibility, Workflow Analysis