The Modern Office Assistant Support Experience (MAX) team mission is to grow the M365 business by intelligently connecting Office end-users, admins, and IT Pros to essential knowledge and expertise that enables them to achieve more. The team is uniquely positioned to support E+D's core business goals by delivering content, help, and support experiences that drive engagement, satisfaction, and reduce support incidents. Building upon the need to scale our work through collaborative practices, the MAX team has become a center of innovation related to expert contributions, including those experts found within Gig platforms. This includes the development of never before seen practices, tools, and roles that accelerate modern methods of working benefiting MAX while laying the groundwork for accelerating broader Modern Work and Modern Life initiatives. The team is leading Microsoft's effort on connecting ourselves, our customers, and our products to on-demand experts via the Gig economy. Ultimately,
Drive data science approach across the MAX team (150+ employees) to improve M365 product engagement and customer sat, reduce support incidents, and pioneer modern Gig practices focused on intent and skills analysis. Develop tools to best drive insights across the end-user customer journey (aggregate and real-time data streams). Drive a deep understanding of user intents and behaviors and educate and empower PMs, writers, engineers, and business leaders to take action from these insights. Explore and build new tools to model, test, and drive innovation across business and customer experiences. Provide
A minimum of 10 years of relevant work experience in data-analysis related roles. leadership experience preferred Excellent cross-group collaboration skills across multiple disciplines and teams. Demonstrated strong communications and presentation skills, and the ability to work across teams, executives, and subject matter experts to drive results. Able to break down complex business and technical problems into opportunities for analytical study. Extensive knowledge and experience in data science including expertise in one or more of: machine learning, big data/data mining, statistics, business/customer