Manager/ Sr Manager - Manufacturing Analytics SME

Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership.

We are seeking a Manufacturing Analytics SME to provide subject-matter expertise to build manufacturing intelligence solutions by integrating shop-floor, MES, historian, and enterprise data to enable real-time analytics and operational use cases across business units and domains.

The ideal candidate will be comfortable working in a fast-paced, multitasking environment, engaging with both internal teams and client stakeholders, and translating manufacturing data into meaningful business decisions.

Responsibilities:

• Provide SME support in building manufacturing intelligence applications 
• Advise on the integration of MES, historians (GE Predix / OSI Pi), and enterprise data platforms
• Enable use cases such as Predictive/Preventive Maintenance, Digital Twin, Production & Process Monitoring, and OEE
• Support development of real-time and near real-time shop-floor analytics

• 7–12 years of relevant professional experience in Manufacturing Domain or related roles.
• Hands-on experience with MES platforms, industrial historians (OSIsoft PI, GE Predix) etc.
• Strong understanding of IT–OT integrations
• Knowledge of manufacturing KPIs and intelligence use cases (OEE, asset health, production monitoring)
• Experience with cloud-based manufacturing analytics
• Background in Industry 4.0 initiatives

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.