- *Role description** **Job Summary**
We are seeking an **AI Product Manager** with deep expertise in the **Manufacturing Domain**. You will lead the end\-to\-end development of AI\-powered solutions, from identifying high\-value use cases on the production floor to overseeing the deployment of scalable models. Your goal is to use data as a force multiplier to improve operational efficiency, reduce downtime, and enhance product quality.
- **Strategy \& Vision:** Define a compelling AI product roadmap that aligns with manufacturing business goals and market trends. Bridges the gap between factory needs and technical capabilities; defines KPIs like **OEE** (Overall Equipment Effectiveness).
- **Use Case Discovery:** Identify opportunities for AI to solve specific manufacturing needs, such as real\-time anomaly detection, demand forecasting, and automated maintenance scheduling.
- **Cross\-Functional Leadership:** Partner closely with data scientists, ML engineers, and factory stakeholders to translate business problems into technical data requirements.
- **Data Strategy:** Manage data pipelines and ensure the availability of clean, high\-quality data for training and validating models.
- **Lifecycle Management:** Oversee the entire AI product lifecycle, including prototyping, testing, deployment, and monitoring for model drift.
- **Performance Tracking:** Define and monitor both business KPIs (e.g., ROI, cost savings) and AI\-specific metrics (e.g., accuracy, precision, latency).
- *Required Skills \& Qualifications**
- **Domain Expertise:** Strong understanding of manufacturing processes, production planning, and supply chain dynamics. A plant manager or process SME who understands machine behavior and "noise" in factory data
- **AI/ML Literacy:** Solid grasp of ML concepts (supervised/unsupervised learning), neural networks, and computer vision.
- **Technical Proficiency:** Ability to collaborate on data pipelines, MLOps, and technical feasibility assessments.
- **Strategic Thinking:** Experience in prioritizing features and managing roadmaps under conditions of uncertainty.
- **Communication:** Skill in explaining complex AI concepts to non\-technical factory managers and leadership.
- **Ethical Oversight:** Knowledge of AI ethics, including data privacy, bias, and transparency standards.
- *Preferred Qualifications**
- **Proven Experience:** 5\+ years in product management with a focus on AI/ML or manufacturing tech.
- **Education:** Degree in Data Science, Computer Science, or Engineering; an MBA is a plus.
- **Tools:** Familiarity with AI frameworks (e.g., TensorFlow, PyTorch) and manufacturing software (e.g., ERP, MES).
product management,mlops architecture,ai product management,data science,
UST is a global digital transformation solutions provider. For more than 20 years, UST has worked side by side with the world’s best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, UST partners with their clients from design to operation. With deep domain expertise and a future\-proof philosophy, UST embeds innovation and agility into their clients’ organizations. With over 30,000 employees in 30 countries, UST builds for boundless impact—touching billions of lives in the process.