Set the technical direction for complex, high-value data science and AI initiatives, aligning solution choices with business strategy, user needs, risk appetite and measurable outcomes.
Team Leadership & Mentorship: Lead, grow, and mentor a high-performing analytics team. Provide hands-on coaching to structure and solve complex logistics problems, ensuring the team delivers scalable solutions that drive measurable business impact.
Serve as a Staff Data Engineer leading the design and implementation of scalable data platforms, governed data products, and advanced analytics capabilities that drive semiconductor engineering insights.
Develop and Manage Reporting Solutions - Design, build, and maintain data dashboards and reports using Looker Studio, Tableau, or Power BI, leveraging Google BigQuery to extract and visualize marketing data.
Lead enterprise-wide data analysis activities supporting onboarding of business, risk, finance, compliance, treasury, customer, and regulatory data domains into the Data Lakehouse platform.
Lead / support end-to-end data science projects, including cleaning of source data and working with large data sets (processing, manipulation, analysis, and modeling). Translating data into useful insights to drive business decisions in the area of production management.
Design, build, and optimize scalable pipelines for ingesting, transforming, and integrating large-volume datasets (market data, news feeds and various unstructured data sources).
Apply AI/ML expertise to build scalable solutions in areas such as Generative AI, personalization, image and speech recognition, NLP, recommendation systems, and time series forecasting.
The Data Business Analyst and AI Engineer will bridge business requirements, enterprise data and AI-enabled delivery. The role will work directly with business users and technology teams to understand reporting and operational needs, analyze complex datasets, define functional and data requirements, and deliver reliable analytical and AI solutions.
Design, develop and maintain automated data pipelines and workflows for acquiring, ingesting, transforming, integrating and publishing 2D/3D geospatial and urban planning datasets
People Analytics & Workforce Modeling: Support the development of predictive models and dashboards for employee turnover, retention drivers, talent acquisition, and workforce planning.