Zurich Insurance · 10 hours ago
AVP- Data, AI and Information Architect, Chief Data Office
Schaumburg, IL
Full-time
Onsite
Mid, Senior Level
$146K/yr - $239K/yr
7+ years expZurich Insurance is a leader in risk management with over 150 years of expertise. They are seeking an AVP Data, AI, and Information Architect to modernize their data analytics ecosystem and drive the execution of the CDO Data & AI strategy across various teams.
Financial ServicesInsuranceProductivity Tools
Responsibilities
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 & cloud data warehouse
Take ownership of operationalization of Agentic AI flows while designing solutions to optimize data pipelines, model deployment, and model monitoring
Architect blueprints for production grade, scalable end-to-end Data & AI solutions
Lead the integration of LLMs, lang chain, lang graphs, agent orchestrators into business processes
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
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 cloud infrastructure teams to deliver technical solutions. This includes end to end Agent orchestration, data layering, data/AI governance, metadata
Qualification
Required
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
Experience in building enterprise grade Data & AI solutions within commercial insurance or financial services industry
Experience in ELT capabilities (Data Factory, DBT, Five Tran etc.) and languages such as Python, R, Scala, Java, and SQL
Experience with various Microsoft Azure services (including Data Lake, Databricks, Data factory, Cosmos DB, Power Platform, Co-pilot studio, Azure ML, Power Automate, Power BI etc.)
Experience with vector stores like Elastic, Pinecone, Mongo Atlas, or Redis
Experience with cloud data warehouse solutions like Snowflake, Fabric, or Redshift
Exposure to deployments for LLMs including end to end unstructured data pipeline build, design of vector stores, embeddings, and prompt engineering
Strong communication skills with ability to effectively explain complex material
Benefits
Short-term incentive bonus eligibility set at 20%
Competitive pay and comprehensive benefits for employees and their families
Company
Zurich Insurance
Zurich Insurance Group (Zurich) is a leading global multi-line insurer founded more than 150 years ago, which has grown into a business serving more than 75 million customers in more than 200 countries and territories, while delivering industry-leading total shareholder returns.
10001+ employees
H1B Sponsorship
Zurich Insurance has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (94)
2024 (59)
2023 (61)
2022 (74)
2021 (45)
2020 (41)
Funding
Current Stage
Public CompanyTotal Funding
unknown2020-12-07IPO
Leadership Team
Aleksandar Vidovic
CEO
Walter Jopp
Chief Executive Officer - ME Life
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