Pfizer ir globāls farmācijas uzņēmums, kas koncentrējas uz tādu zāļu un veselības aprūpes pakalpojumu izstrādi un nodrošināšanu, kuri palīdz uzturēt veselību visa mūža garumā. Uzņēmuma darbība aptver zinātniskās inovācijas un drošu, efektīvu un pieejamu ārstēšanas iespēju pieejamības veicināšanu, īpašu uzmanību pievēršot terapiju attīstībai vēža un citu nozīmīgu veselības traucējumu ārstēšanai. Uzņēmuma darbība var būt saistoša speciālistiem, kuri apsver karjeru farmācijas pētniecībā, veselības aprūpē un ar to saistītajās komercfunkcijās.
Senior Supply Chain AI and Analytics Manager
Lead analytics and AI initiatives across Pfizer’s North American logistics network, applying predictive insights and decision-support tools to supply chain operations. The role partners with logistics teams to improve adoption and business performance.
Apraksts
- Set and deliver the logistics analytics and AI roadmap in line with Pfizer’s global digital strategy.
- Turn business needs into scalable data models, semantic layers, and datasets ready for AI use.
- Identify and lead ways to progress from descriptive analytics to predictive, prescriptive, and agentic AI-supported decisions.
- Promote AI-enabled decision intelligence across supply chain, logistics, and customer service.
- Create interactive dashboards and tools that support operational decisions.
- Build predictive insights and AI recommendations into dashboards and standard work.
- Expand self-service analytics and AI copilots to reduce manual and one-off reporting.
- Improve business reviews with scenario simulations and forward-looking analysis.
- Act as the main analytics and AI partner to logistics teams in warehousing, transportation, demand and inventory planning, and third-party logistics.
- Use broad North American logistics knowledge to define problems and prioritize valuable use cases.
- Shape an agenda linking network performance, cost to serve, and service outcomes.
- Lead rollout of analytics and AI solutions across the North American logistics network.
- Make solutions easy to use, part of standard work, and tied to measurable business results.
- Lead change and adoption efforts so teams use and trust the tools.
- Maintain accurate, consistent, and accessible data.
- Follow enterprise data governance and cataloging standards.
- Advance responsible AI through data transparency, explainable models, and monitoring for risk and bias.
- Work independently on complex, ambiguous problems and guide or lead moderately complex cross-functional projects.
Prasības
- Meet one of these education and experience combinations: bachelor’s degree and at least 4 years of experience; master’s degree and at least 2 years; PhD and 0 or more years; associate degree and 8 years; or high school diploma or equivalent and 10 years of relevant experience.
- Hands-on logistics experience spanning warehousing and distribution, transportation and freight, demand and inventory planning, and third-party logistics management.
- Applied AI or analytics experience, including personally building and delivering solutions.
- Demonstrated delivery of production solutions, such as a predictive or machine learning model, generative AI model, copilot, or agent used by a business team.
- Experience delivering dashboards or decision-support tools adopted into standard work with measurable impact.
- Strong data analytics and engineering skills, including SQL; Python or R is preferred.
- Practical experience with modern business intelligence, data preparation, and data platform tools.
- Experience with machine learning or predictive modeling and scenario modeling or optimization methods.
- Ability to lead AI-enabled business transformation and adoption with nontechnical stakeholders.
- Strong communication, presentation, and stakeholder engagement skills with business and technical teams.
- Proficiency in written and spoken English.
- Based in the United States, able to work a hybrid schedule and travel as business needs require.
- Permanent U.S. work authorization; visa sponsorship is unavailable.
- Preferred: experience in pharmaceuticals or another highly regulated industry.
- Preferred: experience with multi-site North American or global logistics operations.
- Preferred: experience with enterprise resource planning systems such as SAP and integrated business planning.
- Preferred: experience with agentic or autonomous decision-support solutions and self-service analytics.
Priekšrocības
- Global Performance Plan with a 12.5% target bonus based on base salary.
- Share-based long-term incentive program.
- 401(k) plan with Pfizer matching contributions.
- Additional Pfizer retirement savings contribution.
- Paid vacation, holidays, and personal days.
- Paid caregiver, parental, and medical leave.
- Medical, prescription drug, dental, and vision coverage.
- Relocation assistance may be available depending on business needs and eligibility.