Advanced Demand Analytics Lead

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.

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):

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

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.