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:

Job Sub Function:

Job Category:

All Job Posting Locations:

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

We are searching for the best talent for an Advanced Demand Analytics Lead to join our Team! This is an onsite/hybrid role.

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):

Titusville, NJ United States - Requisition Number: R-107661

Switzerland - Requisition Number: R-108528

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

Position Overview

In this role, you will provide advanced analytical leadership for global demand planning within the Innovative Medicine Supply Chain. This role owns significant reporting and dashboard capabilities, leads cross-functional improvement initiatives, translates complex business needs into scalable solutions, and serves as a trusted subject-matter expert to the global planning community.

Key Responsibilities

• Own the design, execution, governance, and continuous improvement of assigned global demand analytics reports, dashboards, metrics, and self-service capabilities.
• Lead the investigation of complex data, system, and reporting issues; identify root causes, coordinate cross-functional resolution, and implement sustainable controls.
• Translate business questions and planning needs into scalable analytical requirements, data definitions, visualizations, and decision-support solutions.
• Lead cross-functional reporting and process-improvement initiatives with Global Planning Excellence (GPEx), technology teams, and other partners from requirements through testing, deployment, adoption, and stabilization.
• Partner with Regional Demand & Supply (RD&S) leaders and planners to prioritize current and future reporting needs, align solutions across regions, and influence adoption of global standards.
• Own the end-to-end demand planning process for an assigned global brand or similarly complex portfolio, providing forward-looking analysis of forecast changes, assumptions, risks, opportunities, and scenarios.
• Lead advanced statistical forecasting analyses, evaluate model performance, recommend improvements, and drive proper use of statistical forecasts and exception-based planning.
• Establish reporting standards, controls, documentation, and communication approaches that improve data quality, consistency, timeliness, and user experience.
• Develop and deliver training, facilitate working sessions, and provide expert guidance to planners and business partners on analytics tools, metrics, and processes.
• Lead projects or workstreams, manage priorities and timelines, anticipate risks and dependencies, and communicate recommendations and decisions to functional leadership.
• Coach and provide technical guidance to analysts and project contributors; review work products and promote reusable methods and guidelines without formal people-management accountability.
• Evaluate emerging analytics, automation, machine learning, and generative AI capabilities and recommend practical applications that improve demand planning effectiveness.

Qualifications

Education: Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Supply Chain, Business, or a related field.

Required Experience and Skills

• 6+ years of related experience in analytics, reporting, data visualization, forecasting, supply chain planning, or a comparable business environment.
• Advanced capability with one or more programming or query languages such as Python, R, or SQL; visualization tools such as Power BI or Tableau; and relevant data models or databases.
• Demonstrated experience leading complex analytical projects or workstreams across global, cross-functional, and highly matrixed teams.
• Strong understanding of data quality, metric design, reporting governance, requirements definition, testing, deployment, and adoption.
• Ability to synthesize complex analyses into clear insights, recommendations, and communications for business and functional leaders.
• Strong business partner management, facilitation, influencing, and problem-solving skills, with the ability to represent the team independently.

Preferred Experience and Skills

• Master’s degree or equivalent experience in Mathematics, Statistics, Engineering, Computer Science, Supply Chain, Business, or a related field. Six Sigma, Lean, Supply Chain, or Project Management certification is preferred.
• Experience with demand planning and enterprise platforms such as OMP, SAP, or Anaplan.
• End-to-end supply chain knowledge and experience with forecast accuracy, bias, forecast value add, demand segmentation, or related planning metrics.
• Knowledge of machine learning and generative AI concepts, with experience translating emerging capabilities into practical business solutions.

Other:

• English proficiency required.
• Up to 10% international travel may be required.

Required Skills:

Preferred Skills: