Essential Functions:

📍Provides technical expertise and mentors others to implement extensible, maintainable, and reusable data models and strategies and adheres to all security and privacy requirements for the application of artificial intelligence and data science. 📍Develops strategies for and leads team's efforts to drive efficiencies across data extraction and ensure data quality and completeness using data wrangling, complex data modeling, and artificial intelligence. 📍Ensures adherence to data management principles, governance, process, and tools to maintain data quality across products. 📍Advises on technical specifications during discussions with collaborators (e.g., Product owners, business partners, Cybersecurity) to identify and clarify sophisticated technical or business requirements and identify business needs and upstream and/or downstream system/application dependencies. 📍Defines technical standards for the design and documents the architecture for a complex product, using existing architecture design patterns.

Preferred Qualifications:

📍9 or more years of relevant work experience with a Bachelor Degree or 7 or more relevant years of experience with an Advanced Degree (e.g. Masters, MBA, JD, MD) or 3 or more years of experience with a PhD 📍Four (4) years of experience solving data problems using data technologies (e.g., Hadoop, Hive, Kafka, Redis, NoSQL, RDBMS) 📍Two (2) years of experience designing, building/fine tuning ML/AI models around data insights, anomaly detection e.t.c 📍Two (2) years of experience in designing, building, evaluating metrics for model performance and business outcome 📍Three (3) years of experience building and pushing code into production.

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