You will be a senior engineering leader in Enterprise Data, Analytics, and Shared Services team. This role's responsibilities span all the Data Products/Integrations enabled by the team, for use by all GTO Portfolio teams and Global Business groups for all applications in Mattel. Technical deliverables owned and managed by this person’s teams include data products and pipelines across all of Mattel application portfolios that move data from one point to another, and the platforms and tools that support these. The person in this role would be central to all new systems implementations, large scale applications transformations and maintenance of the existing integrations ecosystem. This role is a hands-on technical and engineering leadership role - the person will evaluate multiple data engineering, pipeline, and streaming data technology options, assesses their relative technical strengths and weaknesses to then decide on the optimal tool for Mattel’s use. S/he will leverage both legacy and the latest data products and data integrations tools used in Mattel, to build new products/pipelines and manage existing products/pipelines. 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 as a Business and for GTO. The person in this role also enables tools and design patterns for DevSecOps for multiple data pipelines in use at Mattel for use by other portfolio project teams. The person in this role should be fully AI aware – how to use AI for his/her daily tasks, and how to leverage/enable AI in all the data tools in Mattel. you will partner with other leaders to aid and influence Mattel’s enterprise data and technology architecture and roadmap. S/he will work closely with multiple IT peers, business partners and sponsors to architecture and engineer strategic data solutions that enable a data-driven organization to compete effectively and excel in the marketplace. S/he will be Mattel/GTO’s primary face to the external ecosystem in the space of Data Engineering, working with vendors, industry associations and academia.
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Job Type
Full-time
Career Level
Director
Education Level
No Education Listed
Number of Employees
5,001-10,000 employees