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VP, Data Analytics and Strategy

  • Location

    New York City

  • Sector:

    Data Science

  • Job type:

    Permanent

  • Contact:

    jamie bernard

  • Contact email:

    jamie@intelletec.com

  • Startdate:

    ASAP

  • Consultant:

    Jamie Bernard

 

Well funded mission and data driven tech firm is looking for a VP of Analytics and Strategy. Individual is an effective leader known for their experience building high-functioning, high impact teams at scale. This candidate will create a holistic view of the business and customers by leveraging data across millions of touch points. 

Responsibilities:

  • Build insights at scale - elevating foundational data systems and analytics to allow for faster, better, and more systematic insights

  • Set a long term vision for the data function and develop and execute successful data roadmaps 

  • Equip decision-makers to execute on business and product strategy

  • Evolve the function to a more decentralized and embedded design while ensuring strong collaboration and consistent data standards, and build the organizational processes for scale including headcount planning, leveling, operating rhythms and career development

  • Grow data literacy in the organization to speed effective decision making as we scale

  • Teach by example -  demonstrate curiosity, nuance and first principle thinking as we solve new and complex problems for our customers

Requirements:

  • 8+ years leading data-teams, with at least 4 of those in consumer-focused companies

  • Past experience as a technical expert in data analytics, business analysis, or business intelligence prior to leadership/management experience 

  • Proven expertise in building high impact data functions that operate with streamlined working processes at scale and form incredibly tight cross-functional partnerships and collaborations

  • Strong familiarity with modern data stacks to handle huge volumes of real time data

  • Comfortable in ambiguity 

  • Excellent across multiple data disciplines including  dbt, R, SQL, Python, data warehousing and ETL technologies, statistics and data science, BI tools, and modern engineering practices