Apache Hadoop, Architectural Services, Artificial Intelligence (AI), Cloud Computing, Consulting, Data Quality, Demand Forecasting/Planning, Fortune 1000 Customers, GCP (Good Clinical Practices), High Level Architecture (HLA), Industrial Engineering, Information/Data Security (InfoSec), Internet of Things, Leadership, Manufacturing, Manufacturing Execution Systems (MES), Mentoring, Microsoft Windows Azure, Predictive Modeling, Python Programming/Scripting Language, Quality Metrics, Software Development Lifecycle (SDLC), Supply Chain, Tableau
Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.
Key Responsibilities
- Architectural Leadership: Lead the design of high-level data architectures in Multi-Cloud environments (Azure and GCP) specifically for IIoT (Industrial Internet of Things) and manufacturing execution systems.
- Industrial Data Modernization: Oversee the migration of legacy factory data systems to unified storage platforms like Hadoop and Databricks.
- Smart Manufacturing Insights: Build visualization frameworks in Tableau to track OEE (Overall Equipment Effectiveness), supply chain bottlenecks, and production quality metrics.
- Predictive Analytics: Utilize Spark, PySpark, and Python to develop models for predictive maintenance and demand forecasting.
- End-to-End Delivery: Manage the full SDLC for high-impact projects, ensuring data integrity and security across global manufacturing sites.
- Strategic Mentorship: Guide technical teams across onshore and offshore models, fostering excellence in data engineering and industrial AI.