Predictive & AI Manager

ROLE SUMMARY
The Predictive & AI Manager designs and scales innovative, market‑ready predictive AI solutions that enhance commercial excellence and deliver incremental revenue and gross margin gains. The role owns end‑to‑end delivery of predictive AI use cases across global markets-from discovery and early data assessment through model development, deployment, rollout, and continuous improvement. In doing so, this role translates model signals into clear, ready‑to‑use recommendations, this role enables commercial decision makers to act with speed, confidence, and measurable impact.
ROLE RESPONSIBILITIES
This position is responsible for:

• Discover & Scope: Partner with commercial decision makers to identify high-value opportunities and define predictive AI use cases, success metrics, data requirements, expected impact, and delivery approach.
• Lead Exploratory Data Analysis (EDA): Execute complex EDA to validate feasibility, uncover key drivers, and translate insights into clear analytical requirements and implementation-ready specifications.
• Build & Test with Vendors/Partners: Oversee vendor-led development and testing to ensure solutions meet defined requirements, acceptance criteria, and business-ready quality standards
• Package Recommendations: Convert model outputs into actionable, ready-to-use commercial recommendations.
• Monitor & Improve: Monitor post-deployment performance and adoption, detect drift or degradation, and drive vendor-supported enhancements to sustain accuracy, relevance, and commercial impact over time.
• Track Value: Measure and report the business impact of predictive AI recommendations and use insights to drive continuous improvements through a prioritized backlog.

BASIC QUALIFICATIONS

• Bachelor's degree in Data Science, Statistics, Industrial Engineering, Software Engineering, or a related quantitative/technical field.
• Minimum 3 years of experience in roles applying predictive models to solve business problems and deliver measurable outcomes.
• Proficiency in Python and SQL for data extraction, transformation, analysis, and model development.
• Demonstrated knowledge of supervised and unsupervised machine learning, supported by relevant certifications and/or formal training.
• Proven ability to translate complex analytics into clear, concise business insights and actionable recommendations for non-technical stakeholders.
• Strong stakeholder management skills, including the ability to influence without formal authority and drive alignment across teams.
• Excellent communication and interpersonal skills, with the ability to present technical concepts in business terms.
• Advanced Microsoft Excel skills, including complex formulas, pivot tables, data modeling, and analysis.
• Fluent in English (written and spoken) - minimum C1 level required.

PREFERRED QUALIFICATIONS

• Experience working in the pharmaceutical / life sciences industry
• Exposure to or hands-on experience with agentic AI and/or large language models (LLMs)
• Proficiency with business intelligence and visualization tools (e.g., Tableau, Power BI, or equivalent).
• Familiarity with Agile delivery frameworks, including Scrum and/or SAFe (Scaled Agile Framework).

Work Location Assignment: Hybrid
EEO (Equal Employment Opportunity) & Employment Eligibility
Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, or disability.
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