AVP, Data Modernization Architect

Key Skills

Azure, JavaScript, PowerBI, Python Programming, SAS, Scala Programming

Job Description

Additional responsibilities include:

• Design and build scalable solutions to ingest, store and process very large amounts of data (structured, semi-structured and unstructured), including streaming and real-time into the cloud-based Lakehouse

• Build enterprise grade, highly reusable data assets for analytics consumption

• Partner with analytics experts, data scientists, and Business Unit analysts to build self-service experiences in our data democratization platform

• Take ownership of operationalization of Machine learning processes while designing solutions to optimize data pipelines, model deployment, and model monitoring

• Innovate different ways of combining data sets from various sources to augment our analytical literacy

• Conduct POCs, Pilots on re-usable, scalable data processing, curation, and consumption frameworks to eliminate point solutions

• Evaluate, analyze, and optimize system resources related to large scale data processing, image processing, computer vision and deep learning

• Work closely with the IT and the platform team to deliver technical solutions. This includes end to end data orchestration, data layering, data governance, metadata management and data cataloging.

Basic Qualifications:

• Bachelor’s Degree in Mathematics/Statistics and 7 or more years of experience in the Predictive Analytics area
• OR

• Zurich Certified Insurance Apprentice including an Associate Degree in Mathematics/Statistics and 7 or more years of experience in the Predictive Analytics area
• OR

• High School Diploma or Equivalent and 9 or more years of experience in the Predictive Analytics area

• Ability to work in a fast-paced environment as a technical lead

• Strong software standards and engineering practices working within a shared codebase

Preferred Qualifications:

• Knowledge of statistical theory, including Generalized Linear Models and their applications in insurance

• Master’s Degree in Statistics or a field with a statistical or quantitative background with 8 or more years of predictive analytics experience

• Experience in ETL/ELT and data wrangling using tools (Informatica, Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, SQL, and SAS

• Experience with various Microsoft Azure services (including Data Lake, Synapse, Data bricks, Data factory, Cosmos DB, Power Platform, Azure ML, Power Automate, Power BI etc.).

• Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis

• Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering

• Effective communication skills with ability to effectively explain complex material.

As a condition of employment at Zurich, employees must adhere to any COVID-related health and safety protocols in place at that time (https://www.zurichna.com/careers/faq).

A future with Zurich. What can go right when you apply at Zurich?

Now is the time to move forward and make a difference. At Zurich, we want you to share your unique perspectives, experiences and ideas so we can grow and drive sustainable change together. As part of a leading global organization, Zurich North America has over 150 years of experience managing risk and supporting resilience. Today, Zurich North America is a leading provider of commercial property-casualty insurance solutions and a wide range of risk management products and services for businesses and individuals. We serve more than 25 industries, from agriculture to technology, and we insure 90% of the Fortune 500®. Our growth strategy is not limited to our business. As an employer, we strive to provide ongoing career development opportunities, and we foster an environment where voices are diverse, behaviors are inclusive, actions drive equity, and our people feel a sense of belonging. Be a part of the next evolution of the insurance industry. Join us in building a brighter future for our colleagues, our customers and the communities we serve. Zurich maintains a comprehensive employee benefits package for employees as well as eligible dependents and competitive compensation. Please click here to learn more.

As a global company, Zurich recognizes the diversity of our workforce as an asset. We recruit talented people from a variety of backgrounds with unique perspectives that are truly welcome here. Taken together, diversity and inclusion bring us closer to our common goal: exceeding our customers’ expectations. Zurich does not discriminate on the basis of age, race, ethnicity, color, religion, sex, sexual orientation, gender expression, national origin, disability, protected veteran status or any other legally protected status. EOE disability/vet

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