Director of Data Science & Engineering

Posted 2 months agoViewed

213918 - 271104 USD per year

ArizonaCaliforniaColoradoConnecticutFloridaGeorgiaHawaiiIllinoisIndianaIowaKentuckyMaineMarylandMassachusettsMichiganMinnesotaMissouriMontanaNebraskaNew HampshireNew JerseyNew YorkNorth CarolinaOhioOregonPennsylvaniaRhode IslandSouth DakotaTennesseeTexasUtahVermontVirginiaWashingtonWisconsinWyomingAnd Washington D.C.Full-TimeSoftware Development

Company:ActBlue

Location:Arizona, California, Colorado, Connecticut, Florida, Georgia, Hawaii, Illinois, Indiana, Iowa, Kentucky, Maine, Maryland, Massachusetts, Michigan, Minnesota, Missouri, Montana, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Ohio, Oregon, Pennsylvania, Rhode Island, South Dakota, Tennessee, Texas, Utah, Vermont, Virginia, Washington, Wisconsin, Wyoming, and Washington D.C., EST, PST

Languages:English

Seniority level:Director, 8+ years

Experience:8+ years

Skills:

AWSLeadershipArtificial IntelligenceETLMachine LearningSoftware ArchitectureData engineeringData scienceComplianceData modelingData analytics

Requirements:

8+ years or equivalent in successfully managing and leading Data teams 2+ years of leading Data organizations of size 20 or more Expertise in the use of data science in strategic and operational decision-making Expertise in statistics and quantitative analysis Expertise in data security and compliance Strong familiarity with Data Engineering, Data platforms, and tools for high performance big data infrastructure Experience building production-grade ML/AI systems Track record of driving technical excellence Effective cross-functional collaborator Outstanding stakeholder orientation Ability to navigate multi-stakeholder environments Experience leading data integration efforts through mergers and acquisitions

Responsibilities:

Collaborate with leaders to develop and execute a data strategy Foster a data centric culture Enable and advocate for AI/ML driven products and features Oversee Data Science, Data Analytics, Data Engineering, and Data Platform teams Guide the evolution of data systems, tools, and architecture Ensure high-quality communication with internal customers