Manager – Manufacturing Intelligence
Location: India (Remote / Flexible)
Employment Type: Full-Time
Industry: Pharmaceutical Manufacturing | Advanced Analytics | AI/ML | Industrial Automation
Pfizer’s Manufacturing Intelligence (MI) team, part of Global Technology & Engineering (GT&E), drives innovation in pharmaceutical manufacturing through advanced analytics, AI/ML, soft sensors, advanced process control (APC), and Industrial Internet of Things (IIoT) solutions. The Manager – Manufacturing Intelligence will lead initiatives to develop and implement cutting-edge analytics and hybrid modeling solutions, enabling real-time process monitoring, actionable insights, and continuous improvement across Pfizer Global Supply (PGS). This is a high-impact role for candidates with expertise in data-driven process optimization, engineering, and advanced analytics applied to pharmaceutical manufacturing.
Lead and contribute to high-impact projects requiring advanced data analytics, modeling, and process optimization expertise.
Identify opportunities to apply AI, ML, APC, IIoT, Generative AI, and hybrid modeling to improve manufacturing operations and process efficiency.
Develop and deploy mathematical and machine learning models, supporting GMP-compliant implementation of analytics solutions.
Apply engineering principles, modeling tools, and experimental methods using data-rich laboratory, pilot, and manufacturing equipment to enhance process understanding and enable real-time monitoring and control.
Collaborate with cross-functional teams and key stakeholders to ensure timely delivery and communicate project progress effectively to management.
Translate complex technical insights into actionable recommendations and communicate results clearly to both technical and non-technical audiences.
Bachelor’s degree in Computer Science, Engineering, or related technical field (B.Tech preferred).
5+ years of experience in data analytics, machine learning, or advanced process modeling, preferably in pharmaceutical manufacturing or related industries.
Expert-level proficiency in Python; additional experience in R, MATLAB, or JavaScript is advantageous.
Hands-on experience in data engineering, handling large-scale structured time-series datasets with thousands of features.
Proven track record of applying data science and machine learning methods to real-world manufacturing data to generate actionable insights.
Knowledge of upstream and downstream biopharmaceutical manufacturing processes.
Strong collaboration skills with the ability to work effectively in diverse, cross-functional teams.
Excellent communication skills with the ability to convey complex technical concepts to varied audiences.
Self-motivated, independent, and detail-oriented with strong problem-solving abilities.
Expertise in first principles modeling (thermodynamics, reaction kinetics, heat and mass transfer) and hybrid process modeling for real-time applications.
Experience deploying interpretable machine learning or explainable AI (e.g., Shapley values, plots).
Experience in cloud-based development and deployment platforms (AWS SageMaker) and familiarity with data warehouses (Snowflake, Redshift) and SQL databases.
Knowledge of feedback control algorithms, industrial automation systems (DeltaV, ASPEN), and process historians.
Experience with data visualization and real-time GUI tools (Streamlit, Plotly, Spotfire).
Familiarity with cell culture, fermentation, and vaccine conjugation processes.
Remote / Flexible across India
Gujarat :
Ahmedabad | Ankleshwar | Baroda | Bharuch | Gandhinagar | Gujarat | Halol | Jhagadia | Mehsana | surat | Tarasadi | Vadodara | Vapi |Maharashtra :
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