The purpose of this job is to understand the business landscape architecture, digest the business hurdles and build data solutions around it. This position will act as a data advisory member of the Actuarial, Business Intelligence (BI), Data & Analytics, Product & Pricing, and Data Program teams, as well as a collaborator and contributor to Enterprise Architecture. The position will collaborate with the functional areas to solve unique and complex Analytics, BI & Data Architecture, or business-significant problems, to build capabilities and help shape technology strategy. This position requires understanding of insurance domain, different Lines of Business (LOBs), and systems to collect data and come up with solutions to increase data maturity, effectiveness and to enable faster and better, data-informed decision-making.
ESSENTIAL DUTIES AND RESPONSIBILITIES
Builds advanced analytics solutions that ensure data integrity and information usability for enterprise-wide decision making.
Partners with project management and other engineering teams in determining overall data solutions.
Leads and facilitates all technical and data aspects of several initiatives.
This role does not have supervisory responsibilities.
EDUCATION AND EXPERIENCE
Bachelor’s degree in Computer Science, Applied Mathematics, Engineering, or any other technology related field required. Minimum 6 years of experience in a data integration (Cloud/Traditional) engineering related role required. Experience with data practices (security, data management and governance). Experience in operations research, machine learning or optimization a plus. Insurance experience a plus.
CERTIFICATES, LICENSES, REGISTRATIONS
Cloud certification a plus preferably AWS.
KNOWLEDGE AND SKILLS
Experience with AWS data stack – S3, Glue, Redshift, Athena, EMR, Kinesis, DocumentDB, DynamoDB etc. Experience with establishing well-organized data lakes. Knowledge and experience with data movement tools –SSIS, Profisee/Maestro, Alteryx (these 3 preferred), PowerCenter Informatica, IBM Infosphere. Knowledge around enterprise web services and APIs connectivity, protocols and best practices for communication and integration between applications. Strong familiarity with cloud-based services (AWS) and container technologies (Docker/Kubernetes) ·Experience setting up and optimizing data warehouses. Background in data modeling and performance tuning in relational and no-SQL databases. A self-starter mentality that thrives in a rapidly changing, fast-paced environment and tolerates ambiguity while demonstrating problem-solving with limited supervision. Strong analytical and time management skills. Self-motivated and able to handle tasks with minimal supervision. Must be organized, detail oriented, and able to multi-task. Ability to work well under pressure and deliver results with tight deadlines and under changing priorities, Ability to cross collaborate with multiple teams and offer value-added solutions to meet objectives. Strong verbal and written communication skills.
Office environment – no specific or unusual physical or environmental demands and employees are regularly required to sit, walk, stand, talk, and hear.
This position maps to the Individual Contributor level. Additional competencies required: None.
This position operates in an office environment and requires the frequent use of a computer, telephone, copier and other standard office equipment.