You will play a pivotal Engineering role in the Enterprise Data, Analytics, and Shared Services team. This role's responsibilities span all the platforms and tools enabled by the team, for use by all GTO Portfolio teams and Global Business groups. Technical deliverables influenced by the person in this role include data models, data products, data engineering, data operations, data science, data analytics and data visualization. This role is an engineering role - the person evaluates multiple technology options, assesses their relative technical strengths and weaknesses to then decide on the optimal tool for Mattel’s use. On occasion, the person will roll up their sleeves to code or debug. Decisions made by the person with skill have long term implications for Mattel and GTO. This person will also play a key role in systems landscape simplification and modernization - identifying alternate technology solutions and architecting solutions to deploy. The person in this role also enables tools and design patterns for DevSecOps for multiple applications and portfolio project teams. Using CICD pipelines enabled this person, multiple projects move faster through the SDLC phases. Lastly, the person in this is the go-to technical SME for any operational issue with the platforms and tools - he/she resolves technical issues. Partner with other leaders to aid and influence Mattel’s enterprise data and analytics technology architecture and roadmap. You will work closely with multiple IT peers, business partners and sponsors to architecture and engineer strategic data and analytics solutions that enables a data-driven organization to compete effectively and excel in the marketplace.
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