Conde Nast Digital - New York, NY

posted 4 days ago

Full-time - Senior
New York, NY
Telecommunications

About the position

Condé Nast is seeking a highly skilled Senior Director of Product Analytics to lead and drive data-driven decision making across our portfolio of brands. As a key member of the Technology organization, you will play a pivotal role in shaping our product analytics strategy, optimizing user experiences, and driving business growth.

Responsibilities

  • Collaborate with senior leadership to define the long-term product vision and strategy.
  • Champion the use of data and analytics to drive product development and business growth.
  • Provide data-backed insights to inform broader company decisions.
  • Advocate for data-driven decision-making and process improvements.
  • Drive collaboration and alignment across teams to achieve shared goals.
  • Foster strong relationships with key stakeholders across the company.
  • Recruit, develop, and mentor top talent to build a world-class product analytics team.
  • Encourage a culture of experimentation, learning, and continuous improvement.
  • Identify and groom future leaders within the organization.
  • Provide guidance and support to all team members.
  • Create and implement sophisticated analytics models and methodologies.
  • Proactively identify and address data quality and accessibility issues.
  • Use data insights to focus on product performance, improve user experience, increase engagement, and drive revenue.
  • Develop and set company-wide key performance indicators (KPIs), including metrics to track product success.
  • Keep a deep understanding of emerging technologies and best practices in product analytics.
  • Serve as a thought leader in the industry, with opportunities to speak at conferences and publish white papers.

Requirements

  • 10+ years of relevant experience in product analytics, data science, or other quantitative disciplines.
  • 5+ years of proven track record of leading and managing high-performing product analytics teams.
  • Advanced degree in a quantitative field (e.g. statistics, mathematics, or computer science).
  • Excellent communication and presentation skills, with the ability to present data storytelling and complex outcomes to audiences of all levels, including the senior leadership team.
  • Track record of providing valuable insights that shape the product roadmap and business, with measurable outcomes on user engagement, growth, satisfaction, and business revenue impact.
  • A trusted partner to product and business leaders, including the senior leadership team.
  • Extensive experience in experimental design; including A/B and multivariate testing causal inference, and difference-in-difference techniques.
  • Advanced experience with SQL and Python, as well as database technologies (e.g. relational and non-relational databases, data lake and warehouse).
  • Hands-on experience on data visualization and reporting tools.
  • Experience leading embedded teams (versus a central service analytics function) that partner throughout the product development lifecycle.
  • Knowledgeable of user growth/engagement and advertising in the media or publishing landscape.

Benefits

  • 401k
  • health_insurance
  • dental_insurance
  • vision_insurance
  • paid_holidays
  • flexible_scheduling
  • professional_development
  • tuition_reimbursement
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