Data Analytics Director

18 hours ago


Reston, Virginia, United States The Connors Group Full time

Job Summary:

The Director, Enterprise Data & Analytics will drive technology and digital innovation across a diverse and unrivaled collection of premium golf equipment, gear, and performance apparel brands. This role will be responsible for global analytics and data strategy, models, and enterprise services that support operational excellence, customer acquisition, life cycle management, product experiences, and content offerings.

Key Responsibilities:

  • Develop and implement a new enterprise data strategy, including global platform architecture, enterprise services organization, and direct guidance to the company brands.
  • Partner with technology and business teams to define/refine a multi-year data plan to strengthen measurable competitive advantage utilizing Data and Analytics.
  • Enhance a central hub where the business can leverage rich data assets across all functions, anticipating changing asks from the organization and business environment.
  • Be a strategic thought leader who uses data and analytics to provide insight on where the company should direct its future investments, while optimizing current features.
  • Develop and maintain meaningful relationships with internal and external stakeholders, serving as an external force for the company to continue strategic partnerships, evaluate business opportunities, and elevate the company's reputation as a leader in golf.
  • Effectively communicate, mentor, guide, and collaborate with direct reports and other technology teams, ensuring the continuous improvement of technology and digital equipment, and procedures.
  • Test emerging data science techniques and resources, syndicating learnings to the broader organization for deployment, ensuring data quality and security across the organization.

Requirements:

  • Bachelor's degree in computer science, mathematics, or engineering preferred. Advanced degree in an analytical field a plus.
  • 10+ years of data and analytics leadership experience, with consumer product goods industry experience. Superb candidates from other sectors may be considered.
  • Technical skills experience in leading teams in advanced data techniques, including advanced qualitative and quantitative data mining and predictive modeling, algorithms, statistics, visualization, data engineering, natural language processing, data platforms, and engineering.


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