Director, Data Science - Decision Analytics

Job description

The Customer Data and Analytics organization is a critical component of the Customer and Strategy Team at Gap Inc. This team is chartered with unlocking the power of customer data and analytics to drive customer obsession across Gap Inc. Additionally, this organization is responsible for building the Customer Data and Analytics Platform on behalf of the entire organization in partnership with GapTech.

Reporting to the Senior Director of Advanced Analytics and Data Science, the Director of Decision Analytics is focused on building the core analytical methods and tools to enable internal business teams to make better, faster, and more informed decisions around domains such as customer and marketing performance.

Responsibilities

Decision Analytics Strategy

  • In partnership with Senior Director of Advanced Analytics and Data Science, develop the strategic roadmap for decision analytic capabilities (i.e. measurement systems for marketing/customer performance, simulation, forecasting methods, scenario planning) to drive business and customer outcomes

Decisions Analytics

  • Lead a team of Data Analysts to establish enterprise-wide customer analytics methods and tools to make better, faster, and more informed decisions across a wide variety of domains
  • Provide guidance and frameworks for designing and developing models and analyses across multiple domains including marketing (online/offline marketing mix, multi-touch attribution, multivariate testing), customer behavior (site traffic, purchase activity, acquisition/retention), experience (social, surveys) and product (customer preference, recommendations)
  • Establish processes and lead method development to enable building decision analytics at scale on existing and new data infrastructure platforms
  • Champion using best practices and external vendor/partner to accelerate progress where appropriate

Talent Development

  • Develop and mentor members of the Decision Analytics team
  • Build a talent roadmap to meet the needs of the business
  • Evolve the capabilities of the team as required to support the business

Qualifications

  • 7+ years of experience developing and applying customer analytics
  • 5+ years of technical experience in tools such as R, Python, or SAS
  • 3+ years of building and leading high performing teams
  • Prior experience developing and performing customer marketing effectiveness measurement for an omni-channel retailer highly desirable
  • Deep knowledge of retail and ecommerce customer domains highly desirable
  • Strong business acumen, and superior written, verbal and presentation skills
  • Able to deliver near-term wins while building towards a larger strategic vision
  • Proficient in data access methods for large customer and transaction databases
  • Proficient in developing high quality, reusable, and scalable analytics supporting a wide variety of customer and business outcomes
  • Bachelor's degree (preferably in a quantitative field such as math, statistics, physics, chemistry, engineering, economics, computer science, operations research); Master's degree highly desired, but not required

TWO FOLSOM

94105

Qualifications

  • 7+ years of experience developing and applying customer analytics
  • 5+ years of technical experience in tools such as R, Python, or SAS
  • 3+ years of building and leading high performing teams
  • Prior experience developing and performing customer marketing effectiveness measurement for an omni-channel retailer highly desirable
  • Deep knowledge of retail and ecommerce customer domains highly desirable

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