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You will be updated with latest job alerts via emailKey Responsibilities:
Build and maintain robust data architecture and data models that are scalable reliable high quality and resilient encompassing effective data integration warehousing migration and access strategies.
Design and optimize efficient data pipelines that meet data quality standards ensuing accuracy consistency and reliability through the data lifecycle.
Identify and align goals and objectives to support the companys business plan and implement the departments vision to streamline data movement and modernize data platforms.
Provide thought leadership in defining data strategy and driving the execution of our initiatives partnering with stakeholders in data operations data governance data science analytics IT infrastructure security and AppDev. This includes defining roadmaps developing business cases project plans and resources allocation/alignment.
Plan design build and implement scalable data solutions ensuring environments remail agile and accommodating.
Collaborate with data science and analytics teams to drive valuable insights by empowering the business through increased adoption of new technologies and platforms to meet business needs.
Partner with data governance corporate compliance and IT security to ensure that data assets are safeguarded and support organizational initiatives in the areas of data retention governance and security.
Continually learn and implement new technologies and methodologies into the data ecosystem to meet business needs and strategies.
Manage the operationalizing and automating of capabilities to ensure secure supported and scalable solutions.
Represents Actuarial Data & Analytics department on select projects and teams to ensure data needs are identified and considered. Collaborate with enterprise architecture IT security and infrastructure to improve performance and scalability.
Directly manages employees including interviewing and selection performance management coaching evaluating performance development assigning tasks and setting individual expectations and objectives.
Key Requirements:
Bachelors degree in Computer Science Information Technology or related field advanced degree preferred
10 years of experience in Data Analytics IT or related area
3 years management experience preferred
Insurance/Financial Services experience preferred
Experience in some of the following tools platforms & concepts: Informatica Oracle SQL Server Business Objects PowerBI API SAS Python/Pyspark data warehousing data modeling data integration concepts/technologies data lake infrastructure and operations RPA data analytics tools infrastructure and containerized services version control systems (Github) JavaScript Data Masking Encryption/Decryption setting ETL best practices familiarity with data lakes DevOps DataOps Agile Performance Optimization Real-time and batch processing MDM practices Metadata Management Azure AWS Cloud data warehouses and pipelines data ingestion from XML JSON Parquet formats Data Cataloguing tools data governance frameworks data quality methodologies
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Required Experience:
Manager
Full-Time