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Vp Of Data & Technology

Company

Harnham

Address United States
Employment type FULL_TIME
Salary
Category Staffing and Recruiting
Expires 2023-08-11
Posted at 10 months ago
Job Description

NJ (Hybrid)

$225,000 -$275,000 + Bonus


This is a highly confidential search that will require a signed NDA to pursue the interview process. This organization is looking for a highly skilled engineering leader who has helped companies go through digital transformations. This person must have experience working within the retail technology field.


What You'll Do:


  • Ensure the organization's data infrastructure, procedures, and policies comply with the appropriate privacy and security frameworks.
  • Develop and manage processes for prioritizing, updating, and communicating the data roadmap to ensure alignment across the organization
  • Partner with the Marketing and Finance teams to develop and implement a data-driven forecasting model for customer acquisition, retention, and revenue growth.
  • Support the organization by providing best-in-class data engineering and analytics solutions using our data stack (Snowflake, Looker, Fivetran, and dbt).
  • Work closely with the CIO to develop the vision for how data will support the organization's immediate and long-term goals. This includes setting department OKRs, prioritizing data initiatives, and executing the data roadmap.
  • Create efficient and scalable processes for data ingestion, transformation, and analysis that promote collaboration and enable the organization to effectively leverage data insights.


This Role Could Be A Good Fit For You If…


  • You have 2+ years of experience creating and prioritizing data-related roadmaps, which includes developing a data vision and executing data strategy.
  • You have experience working in retail & working with Azure, databricks and Mulesoft teechnologies.
  • You have a strong understanding of data systems, including Data Warehousing, ETL, Data Integration, and Data Visualization tools, as well as experience in our data stack (Snowflake, Looker, Fivetran, and dbt).
  • You have at least 10+ years of experience in Analytics, Business Intelligence, Data Engineering, or Data Science, with 3+ years in a people leadership role in a high growth environment.
  • You are a self-starter who takes the initiative in solving problems and can self-manage commitments and deadlines.
  • You have experience managing full-cycle data tool procurement, including budget management and negotiations.


KEYWORDS

  • Data Science | Engineering | Natural Language Processing | Machine Learning | start-up | Python | Supply Chain | Software Engineering | Natural Language Understanding | Natural Language Generationms Fundamentals certification, aws certification