Lead Product Architect

Lead and guide a dynamic team of Product Architects, fostering a collaborative and forward-thinking atmosphere. Demonstrate proficiency in programming with SQL and Python. Possess knowledge in Applied Machine Learning, Applied Econometrics, Time Series Analysis, Statistics, and Data Analysis using Python and Excel. Display knowledge in Business Analytics, Predictive Analytics, and Prescriptive Analytics. Design and maintain ongoing metrics, reports, analyses, and dashboards, influencing key decision-making processes. Interpret strategic goals for operational requirements, creating business capability maps to seamlessly connect strategy with execution. Identify business capability needs and collaborate with technical teams for efficient data extraction, transformation, and loading. Develop reusable components for software and data platforms, catering to diverse business needs. Effectively communicate with engineers, business owners, and senior leaders through articulate written and verbal skills. Stay abreast of emerging technologies and industry trends, providing support for project and operational initiatives. Foster a culture of knowledge sharing and exchange within the organization. Devise and oversee detailed schedules and project plans for effective project management.

Proficiency in one of the following: data engineering, database engineering, business intelligence or analytics

Hands on experience in optimized querying across extensive datasets; expertise in data modeling and data warehousing; proficient int Tableau, PowerBI or similar tools for visualization; experience with data pre-processing, feature engineering and model evaluation. Familiarity with development, deployment, testing processes within the software development lifecycle.

Requires master's degree in computer science, Information Technology, Supply Chain Engineering, Operations Managment or a related degree, plus one-year related work experience.