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Zurich NA AVP, Data Analytics Engineering in Topeka, Kansas

AVP, Data Analytics Engineering


Zurich North America’s Data & Analytics organization is looking for an AVP, Data Analytics Engineering expert to drive technical capability development and execution in our Analytical Platforms space. The AVP, Data Analytics Engineering will be the key contributor to the execution of Data Analytics platform strategy for the Data Science, Data Governance and, Data Engineering teams and will build the architecture, systems and technologies required to have a best-in-class data ecosystem.

In this role, you will lead a team working on next generation data platform services and processes that support Business Units and Share Service Units. The ideal candidate will have experience managing a strong engineering team.


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

  • Work closely with Business Unit analysts to build self-service experiences in our data democratization platform

  • Build best in class ETL/ELT based solutions for effective data ingestion and transformation and best in class MLOps to optimize data pipelines, model deployment and model monitoring

  • 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

  • Ensures senior leadership on critically important projects through clear & consistent communication

  • Monitors and evaluates business initiatives against key performance indicators and communicates results and recommendations to management

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

  • Test new ways of acquiring external data to augment our existing customer databases

  • Partner with the data science, actuarial science, underwriting, claims and various business group on deep rooted data analysis including propensity scores, catastrophic modeling, time-series analysis, and forecasting.

Basic Qualifications:

  • Bachelor’s Degree in Mathematics / Statistics and 8 or more years of experience in the Predictive Analytics areaOR

  • High School Diploma or Equivalent in Mathematics/Statistics and 12 or more years of experience in the Predictive Analytics areaAND

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

Preferred Qualifications:

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

  • 7+ years of experience in Data Engineering, Analytics, Data Science, Business Intelligence, or other quantitative disciplines, especially during company growth stages, in a cross-functional role

  • 3+ years of management experience growing and leading data teams; proven record of building and motivating successful teams

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

  • Experience with various AWS services (including Amazon Elastic Compute Cloud (EC2), S3, Elastic Map Reduce (EMR), Kinesis, Elasticsearch, Glue, Athena etc.) or Microsoft Azure services (including Data lake, Synapse, databricks, data factory, power platform etc.)

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

  • Prior hands-on experience delivering self-service big data and data visualization platforms

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

  • Strong communication skills with ability to effectively explain complex material

  • People management experience.

As a condition of employment at Zurich, employees must adhere to our COVID-related health and safety protocols ( https://www.zurichna.com/careers/faq ), including, without limitation, a requirement that employees attest as to their vaccination status with a YES/NO, and upload proof of vaccination status, or negative COVID test results when allowable, to a third-party vendor. These are continuously re-evaluated and the requirements may change at any time.

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 clickhere (https://www.zurichna.com/careers) 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

Zurich does not accept unsolicited resumes from search firms or employment agencies. Any unsolicited resume will become the property of Zurich American Insurance. If you are a preferred vendor, please use our Recruiting Agency Portal for resume submission.

Location(s): AM - Schaumburg, AM - Remote Work (US)

Remote Working: No

Schedule: Full Time

Linkedin Recruiter Tag: #LI-MF1 #LI-HYBRID