In this role you will work as part of an agile team, collaborating with geographically diverse business stakeholders, focused on the reporting and analytical needs of Actuaries across the Global Risk Solutions strategic business unit. You will partner with the business data consumers, Product Owner, and Architect in support of the team, as you lead the effort to reimagine our reporting technology stack from a purpose-built Microsoft data warehouse to a consumer-centric, automated, data marketplace built on native AWS technologies.
This is a fast-paced environment providing rapid delivery for our business partners. You will be working in a highly collaborative environment that values speed and quality, with a strong desire to drive change and foster a positive work environment as we continue our agile transformation journey. You will have the opportunity to lead this change with us as we grow this culture, mindset, and capability. If terms like event-based, serverless, cloud-native, data lake, AI and InsurTech resonate with and pique your interest, you will want to take a look at what we are doing. If you are a forward-thinking, growth-minded individual, who is looking at how to leverage this ever-changing technology landscape, then this job might be for you.
Under general direction, acts as a technical expert who consults on highly complex projects. Responsible for the analysis, development and execution of complex data solutions, in order to manage the information lifecycle needs of an organization. Collects, integrates and analyzes organizational data with the purpose of drawing conclusions about that information. Develops, constructs, tests and maintains data architectures for data platform, database, analytical/reporting, or data science systems. Establishes and builds data systems including providing standards, policies, practice, procedures, governance and quality assurance for data deliverables. Recommends methods to improve data reliability, quality, and efficiency. Devises or modifies procedures to solve technical problems. Leads and directs the work of team members. May mentor junior team members.
Responsibilities
Builds and designs complex data models and data architecture that improve accessibility, efficiency, governance and quality of data. Makes recommendations for how to improve data and drives those recommendations forward. Identifies business process improvements that address highly complex technology gaps within a single business process. Builds in-depth knowledge of technology enablers. Consult on highly complex technology enabled recommendations to address gaps within a single business process. Proactively identifies potential impact on business strategy. Documents existing processes, organizational structures, architectures and external systems. Consults on designing and developing of complex programs and tools to support ingestion, curation and provisioning of complex enterprise data to achieve analytics, reporting, and data science. Involved in and contributes to development and enhancement of solutions for gaps. Supports the Solutions Engineer in implementation. Support can include but is not limited to; cutover plans, post-implementation support, any issues/defects, transition planning, and knowledge sharing efforts.
Note: this role is posted as a range Senior/Principal Data Engineer. Final offer will be determined by the candidate’s skills and experiences.
Job Specifications:
Reference: 2022-44836
Category: Technology
Primary Location: Dover, NH
Additional Locations: Remote
Schedule: Full-Time
Salary: USD-$130,000.00-–-$175,000.00-/-Year
Education Level: Bachelor’s Degree
Travel: As Needed