Hybrid Senior Director, Enterprise Data Product

Posted 3 weeks ago

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About the role

  • Lead multi-functional teams and shape the end-to-end strategy for enterprise data and AI products.
  • Define and evolve the enterprise data product vision across key verticals, aligned with company priorities and C-suite goals.
  • Define, build, validate, test, and promote adoption of our core enterprise data products to drive faster, smarter decision-making across the business.
  • Partner with AI Engineering and Data Science to identify, experiment, and scale AI use cases that drive automation, insight generation, and predictive capabilities.
  • Build trust with C-level and senior business leaders through deep understanding of functional strategies, data needs, and pain points.

Requirements

  • Master's degree in Statistics, Mathematics, Data Science, Engineering, Physics, Economics, or a related quantitative field.
  • Minimum of 8 years’ experience in Product Management and/or Data Science, preferably within the data/analytics domain.
  • Experience performing statistical analysis, and coding (e.g., SQL, Python, R).
  • Excellent communication and interpersonal skills, with proven track record of building strong relationships with business stakeholders.
  • Experience operating in a highly cross functional, multinational business.

Benefits

  • Health insurance
  • Retirement plan
  • Paid Time Off (PTO)
  • Paid Holidays
  • Employee Assistance Program

Job title

Senior Director, Enterprise Data Product

Job type

Experience level

Senior

Salary

$250,000 - $374,000 per year

Degree requirement

Postgraduate Degree

Tech skills

Location requirements

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