invesco is one of the worlds leading global investment managers entrusted with managing 12 trillion in assets on behalf of clients worldwide we are the 6th largest us retail asset manager and the 13th largest investment manager globally and our more than 8000 employees worldwide are dedicated to delivering an investment experience that helps people get more out of life we are purely focused on managing a comprehensive range of active passive and alternative investment capabilities which we draw on to provide customized solutions aligned to client needs our most important benchmark as of may 312019 job purpose job summary the lead data scientist is responsible for creating and sustaining a cloud based decision sciences environment that supports running predictive analytics and behavioral analytics at scale to inform how invesco identifies strategic opportunities drives customer relevance and personalization pursues commercial performance and achieves business goals they will design build and maintain the decision and data science infrastructure data and software capabilities and human team capacity required to deploy and support an always on analytics capability that leverages a wide range of data science and statistical tools to advance the decision sciences capability at invesco data sciences customer analytics and digital analytics designed to drive measurable changes in retail and institutional distribution and digital initiatives this role will also partner with technology to design and build out technical infrastructure and data architecture required to create an integrated customer view that drives effective go to market analytics across both digital and customer analytics build and mentor a high impact data sciences team composed of both direct reports and agile team members to accelerate invescos data sciences capacity and build high impact data sciences capabilities drive a hypothesisdriven approach to create valuable client insights and transformative business tools through the aggregating manipulating and disseminating of broad sets of data ensuring fidelity with key data sources and integration with other technical teams work closely with colleagues in north america retail distribution to ensure that insights and tools are leveraged to improve marketing roi and create distinctive client experiences demonstrate strong business acumen eg comfortable dealing with ambiguity demonstrates strong business judgment outcomeoriented with demonstrated drive for results and communication demonstrated ability to synthesize insights strong writtenoral communications as part of the insights and analytics team they will partner across analytics sales marketing and technology to build a shared framework for an ondemand analytics platform key responsibilities duties data requirements and management manage and maintain the cloud based aws redshift environment required to support an always on data sciences capability specify technical requirements for data ingestion verification scheduling etc required to populate the environment with first party second party and third party data build out the data engineering and feature engineering capabilities required to support customer centric analytics and visualization establish strong processes for landing data ratifying data from invesco on premise and edl sources and for promoting results back to production edl collaborate with business subject matter experts and it