Senior Group Manager - Data Science - Semiconductor Industry (18-20 yrs)
Senior Group Manager - Data Science - Innovation
Job Type - Permanent
Description :
- Passionate for technology to solve complex business problems in semiconductors, Global Operations, Supply chain, and Manufacturing and greatly inspired by the industry's latest trends in Data & Analytics with strong knowledge of AI/ML & architecture.
- Build & Own practices in the Center of Excellence with continuous improvement.
Client Details :
- Global supplier of innovative wafer fabrication equipment and services to the semiconductor industry
- American corporation that engages in the design, manufacture, marketing, and service of semiconductor processing equipment
- Builds equipment for back-end wafer-level packaging (WLP), and for related manufacturing markets such as microelectromechanical systems
- Top Customers include Micron, Samsung etc.
Job Description :
- Lead High Performing teams including Managers, Developers, data scientists, and architects with a focus on Data Science, BI, Artificial Intelligence, Machine Learning, Application Development, Robotics, and Deep learning
- Conceptualize new ideas into solutions and proven track record of solving identified business problems with Analytics & automation and achieving optimization in the analytics solution development & operational efficiency
- Demonstrated ability to manage teams in a matrix organization, thinking out of the box and solving hard problems while navigating through ambiguity
- Manage E2E Analytics CoE Delivery while managing complex variables including Information and Data Governance, Data Management, SDLC Management, and alignment and partnership with GIS/IT teams
- Manage and evaluate Analytics COE portfolio for data & architecture and innovation pipeline assisting strategic decision-making for COE platforms and technology selection as per alignment with Global IT, local IT, and Cross-functional teams
- Design, research, develop, analyze, and suggest new concepts as well as strategies as per the latest industry trends
- Deliver Rapid Prototypes, Experiments, Hypothesis Testing, and Adhoc Analysis for data-driven decision making
- Provide technical leadership to different Center of Excellence Teams and track reporting of KPIs/Metrics with cadence
- Leading PoCs to create breakthrough technical solutions, performing exploratory and targeted data analyses
- Contribute and influence the strategic direction of senior leadership using informal and formal communication.
- Manage and attain customer expectations and ensure high-quality delivery fulfills expectations.
- Managing Stakeholder's expectations across different Business Functions and prioritizing the business needs
Profile :
- Minimum 18+ years and Minimum 8 years of supervisory experience
- Master's Degree: Computer Science/Engineering/Mathematics/Statistics/Computer Science/MBA (Systems & operations) - M. Tech / Ph.D. from leading institutes
- Must have led an AI/Innovation and Architecture team in building and delivering solutions for Supply Chain/ Manufacturing/Operations or semiconductor Industry. Experience in identifying & defining technical problem statements
- Hands-On experience in Building and Managing CoE and D&A Governance. Managing Data Science, AI & ML Use Cases with strong expertise in Statistics, Machine Learning algorithms. Tool Expertise: Python, R, Tensor flow, CNTK
- Strong working knowledge and experience in Enterprise & Data Architecture, Database Design, Star-Schema, Profiling, Modeling, SAP HANA/SQL Server, Big Data (Hadoop) & BI and Visualization tools Power BI/Qlik Sense/Tableau
- Hands-On Working Experience on Azure Cloud. Experience in Web Apps(.NET) , Power Platform, RPA etc.
- Hands-On Experience in Managing Large Analytics Projects & CoE Teams with strong expertise in agile at scale
Job Offer:
- Leadership role that influences strategic decisions of a Global MNC
- Best in class remuneration
- Avenues for vertical & horizontal growth
- Chance to establish thought leadership in the data science fraternity
To apply online please click the 'Apply' button below. For a confidential discussion about this role please
Contact - Vartika Singh - +91 124 452 5480
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