Our next generation data platform will enable the fans to have the best experience with Major League Soccer with personalized content and offerings through sophisticated analytics. This position will contribute to developing future of our data platform at MLS by using powerful cloud platform capabilities.
This is role responsible for building scalable data solutions that crosscuts data engineering, architecture and software development fields. You will be accountable for design and implementation of cloud native solutions for data ingestion, processing and compute at scale.
Our engineers develop the next-generation technologies that change how millions of fans connect, explore, and interact with Major League Soccer and with one another. This role will contribute the future of our web and app ecosystem at MLS to improve fan experience. You will design, develop, test, deploy, maintain, and improve software stack and have ownership for your areas including architecture to help deliver results that delight our customers, learning constantly while solving tough technical challenges.
Our data is at the core of our growth strategy and fundamental to how our League, Partners, Sponsors, Advertisers, Clubs, Players, and millions of Fans connect, explore, and engage with one another. We are seeking a hands-on leader who will own management of our data, while partnering and collaborating with team members to deliver data as a product (DaaP), as well as creating data product solutions that power our digital ecosystem. This is an opportunity to not only own data management, but also to contribute with both internal and external-facing data products.
The successful candidate is passionate about treating data ‘as a product’ to discover new insights, automate business processes, drive competitive advantage, and deliver immersive and outstanding fan experiences. You apply a product management mentality by aligning on business need and objectives before you begin building any new data product, then following that same approach in planning through OKRs, executing through agile principles, and delivering value through your data products.
The ideal candidate will demonstrate an established background in data and analytics, broad technical depth, excellent product/project management skills, superb communication, and stakeholder management skills. You have the motivation to achieve tangible results in a dynamic environment, providing thought-leadership and strategy, while also knowing when to jump in, roll up your sleeves, and lead from the front. “Hands-on” in this role means you will be expected to own, review and when necessary, assist with data architecture, data models, algorithms, code, and other development tasks as required.