Lead all aspects of multiple concurrent projects including scope, requirements, timelines, resource allocation, stakeholder management, communications, and risk assessments, both within the team and with multiple different project partners
Minimum Qualifications
Expertise in the software development lifecycle and Agile program management in complex environments
Familiarity with data engineering (from ingestion to aggregation) and associated infrastructure (e.g. data storage, query services, data access patterns)
Experience running distributed services in virtualized environments (e.g. Kubernetes) and building platforms that consist of service APIs used by multiple partners
Confident understanding of SQL is a plus and passionate about the role of scalability, efficiency, quality, and data governance in analytics
Preferred Qualifications
High emotional intelligence and strong facilitation skills to successfully lead conversations with analytics stakeholders, engineering management, enterprise technology partners, and other teams, in order to drive a complex, cross-functional, and comprehensive project plan
Exceptional verbal and written communication, including presentation skills to all levels of an organization
Aptitude and willingness to learn, and proactive attitude and energy
High degree of autonomy and self-motivation, while also able to remain connected with colleagues across a distributed team