Advanced Demand Analytics Lead

Description

The company develops medicines and medical technology within its Innovative Medicine and MedTech businesses, and this role sits in the Innovative Medicine Supply Chain.

The role is an onsite/hybrid position based in Titusville, New Jersey, United States of America. It is listed under Supply Chain Planning, Demand Planning, Professional category.

The role is open in more than one country and may be posted under different requisition numbers to meet local rules. Titusville, NJ United States uses requisition R-107661 and Switzerland uses R-108528. Applying to one or more of these numbers counts as a single application.

You will lead advanced analytics for global demand planning, own major reporting and dashboards, drive cross-functional improvement work, turn complex business needs into scalable solutions, and act as a trusted expert for the global planning community.

Responsibilities

• Own the design, running, governance and ongoing improvement of global demand analytics reports, dashboards, metrics and self-service tools.
• Lead investigations into complex data, system and reporting problems. Find root causes, coordinate fixes across teams and put lasting controls in place.
• Convert business questions and planning needs into scalable requirements, data definitions, visuals and decision-support tools.
• Lead reporting and process-improvement projects with Global Planning Excellence (GPEx), technology teams and other partners, from requirements through testing, rollout, adoption and stabilization.
• Work with Regional Demand & Supply (RD&S) leaders and planners to set priorities, align solutions across regions and help drive global standards.
• Own the full demand planning process for an assigned global brand or similarly complex portfolio. Analyze forecast changes, assumptions, risks, opportunities and scenarios looking ahead.
• Lead advanced statistical forecasting work, assess model performance, suggest improvements and promote correct use of statistical forecasts and exception-based planning.
• Set reporting standards, controls, documentation and communication methods that improve data quality, consistency, timeliness and user experience.
• Create and deliver training, run working sessions and advise planners and business partners on analytics tools, metrics and processes.
• Lead projects and workstreams, manage priorities and timelines, anticipate risks and dependencies, and share recommendations and decisions with functional leadership.
• Mentor and guide analysts and project contributors, review their work and share reusable methods and guidelines. This role does not carry formal people-management duties.
• Assess emerging analytics, automation, machine learning and generative AI tools and recommend practical uses that improve demand planning.

Requirements

• Bachelor's degree in Mathematics, Statistics, Engineering, Computer Science, Supply Chain, Business or a related field.
• 6+ years of related experience in analytics, reporting, data visualization, forecasting, supply chain planning or a comparable business setting.
• Advanced skill in at least one programming or query language, such as Python, R or SQL, plus visualization tools such as Power BI or Tableau and relevant data models or databases.
• Proven experience leading complex analytical projects across global, cross-functional and highly matrixed teams.
• Solid grasp of data quality, metric design, reporting governance, requirements definition, testing, deployment and adoption.
• Ability to turn complex analysis into clear insights and recommendations for business and functional leaders.
• Strong skills in business partner management, facilitation, influencing and problem-solving, and the ability to represent the team on your own.
• Preferred: a 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.
• Preferred: experience with demand planning and enterprise platforms such as OMP, SAP or Anaplan.
• Preferred: end-to-end supply chain knowledge and experience with forecast accuracy, bias, forecast value add, demand segmentation or related planning metrics.
• Preferred: knowledge of machine learning and generative AI concepts, and experience turning new capabilities into practical business solutions.
• English proficiency is required.
• Up to 10% international travel may be required.
• Equal-opportunity note: the company provides an inclusive interview process and accommodations for applicants with disabilities on request.

Conditions

The anticipated base pay range is $96,000.00 - $155,250.00.

Up to 10% international travel may be required.

Onsite/hybrid work model in Titusville, New Jersey, United States of America.

Benefits

• Eligible for the consolidated retirement plan (pension) and savings plan (401(k)), subject to plan terms.
• Vacation: 120 hours per calendar year.
• Sick time: 40 hours per calendar year. 48 hours per year for employees residing in Colorado, and 56 hours per year for employees residing in Washington.
• Holiday pay, including Floating Holidays: 13 days per calendar year.
• Work, personal and family time: up to 40 hours per calendar year.
• Parental leave: 480 hours within one year of the birth, adoption or foster care of a child.
• Bereavement leave: 240 hours for an immediate family member, or 40 hours for an extended family member, per calendar year.
• Caregiver leave: 80 hours in a 52-week rolling period.
• Volunteer leave: 32 hours per calendar year.
• Military spouse time off: 80 hours per calendar year.
• Time-off and benefit eligibility depend on plan terms and date of hire. More benefit details are available on the company careers site.