Sr. Manager Data Analytics at Johnson Johnson
Titusville, Florida, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

207000.0

Posted On

28 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Supply Chain, Analytics

Industry

Information Technology/IT

Description

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

Responsibilities
  • Collaborate with functional leads and business teams to integrate supply chain-specific needs into business requirements, ensuring alignment with best practices and global standards.
  • Drive standardization initiatives to improve efficiency and consistency across regions.
  • Design global analytics templates in collaboration with crucial partners, including Advanced Therapies, R&D, and others.
  • Serv as a central point of contact for template users across the organization during the project.
  • Convert business requirements into clear and actionable user stories.
  • Own & handle business requirement backlog.
  • Coordinate data asset life-cycle management related activities, fostering a strong data culture with a focus on comprehensive thinking around data as a product.
  • Define governance policies to ensure the accurate use, updates, and maintenance of the global analytics related templates.
  • Regularly audit and refine templates based on user feedback and changing business needs.
  • Partner with D&A’s E2E Integration Leader for the technical deployment (BTR) activities of prioritized backlog elements.
  • Provide support during the technical deployment and testing phases.
  • Act as a leader with vision and key advisor on emerging trends in data management and analytics technologie
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