Posted on: June 24, 2024 | Job#: R170281

Senior Director - Customer Data Science

Full time
Two Folsom, San Francisco, CA, US 94105

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About Gap Inc.

Our brands bridge the gaps we see in the world. Old Navy democratizes style to ensure everyone has access to quality fashion at every price point. Athleta unleashes the potential of every woman, regardless of body size, age or ethnicity. Banana Republic believes in sustainable luxury for all. And Gap inspires the world to bring individuality to modern, responsibly made essentials.     

This simple idea—that we all deserve to belong, and on our own terms—is core to who we are as a company and how we make decisions. Our team is made up of thousands of people across the globe who take risks, think big, and do good for our customers, communities, and the planet. Ready to  learn fast, create with audacity and lead boldly? Join our team.

About the Role

As the Senior Director of Customer Data Science, you will lead a dynamic team responsible for driving data-driven marketing strategies and optimizing customer loyalty programs across various channels. This strategic role requires seasoned data science professional with a deep understanding of omni-channel retail dynamics and a proven track record in leveraging data to enhance customer engagement, marketing effectiveness, and loyalty program performance.

This role is located in our beautiful San Francisco hub.

What You'll Do

Strategic Leadership: 

  • Provide visionary leadership in the development and execution of science-driven marketing and loyalty strategies aligned with omni-channel retail goals. 
  • Collaborate with C-level executives to integrate analytics into overall business strategies. 

Team Management: 

  • Lead and mentor a high-performing team of analytics and loyalty professionals, fostering innovation, collaboration, and continuous learning. 
  • Oversee recruitment, training, and development of team members. 

Customer Models and Targeting: 

  • Utilize advanced analytics to segment customers based on behavior, preferences, and demographics. 
  • Develop customer models such as CLTV, Propensity, Engagement etc. 
  • Develop targeted marketing campaigns to enhance customer engagement and drive sales across omni-channel platforms. 

Loyalty Program Optimization: 

  • Oversee the analysis of loyalty program data to identify opportunities for optimization and growth. 
  • Develop strategies to enhance the customer experience and drive increased participation in loyalty programs. 

Omni-Channel Attribution Modeling: 

  • Implement advanced attribution modeling techniques to analyze the impact of marketing campaigns across various channels (online, offline, mobile, etc.). 
  • Optimize marketing spend based on data-driven insights. 

Personalization and Customer Experience Enhancement: 

  • Lead initiatives to enhance personalized marketing efforts based on customer data. 
  • Collaborate with UX/UI teams to improve the overall customer experience across omni-channel platforms. 

KPI Development and Monitoring: 

  • Define key performance indicators (KPIs) for marketing effectiveness, customer engagement, and loyalty program success. 
  • Establish monitoring mechanisms and provide regular reports to leadership. 

Competitor and Market Analysis: 

  • Conduct in-depth analysis of market trends, competitor marketing strategies, and emerging technologies. 
  • Provide strategic recommendations to maintain a competitive edge in omni-channel retail. 

Cross-Functional Collaboration: 

  • Collaborate with cross-functional teams, including marketing, e-commerce, and operations, to align analytics strategies with business goals. 
  • Provide insights to inform decision-making across departments. 

Technology Integration: 

  • Evaluate and implement advanced analytics tools and technologies to enhance the efficiency and effectiveness of marketing and loyalty analytics. 

Who You Are

  • Proven experience in analytics, marketing, and loyalty roles within omni-channel retail
  • Experience is developing CLTV, Propensity and Predictive customer models
  • Strong leadership skills with experience managing and developing high-performing teams
  • In-depth knowledge of analytics tools, attribution modeling, and loyalty program optimization
  • In-depth understanding of Digital Analytics 
  • Demonstrated success in leveraging data for personalized marketing campaigns and customer experience enhancement
  • Excellent communication skills with the ability to present complex analytics concepts to non-technical stakeholders. 
  • Strong storytelling ability to c-suite 
  • Strong Statistics, Python/R skills 

Benefits at Gap Inc.

  • Merchandise discount for our brands: 50% off regular-priced merchandise at Old Navy, Gap, Banana Republic and Athleta, and 30% off at Outlet for all employees.
  • One of the most competitive Paid Time Off plans in the industry.*
  • Employees can take up to five “on the clock” hours each month to volunteer at a charity of their choice.*
  • Extensive 401(k) plan with company matching for contributions up to four percent of an employee’s base pay.*
  • Employee stock purchase plan.*
  • Medical, dental, vision and life insurance.*
  • See more of the benefits we offer.

*For eligible employees

Gap Inc. is an equal-opportunity employer and is committed to providing a workplace free from harassment and discrimination. We are committed to recruiting, hiring, training and promoting qualified people of all backgrounds, and make all employment decisions without regard to any protected status. We have received numerous awards for our long-held commitment to equality and will continue to foster a diverse and inclusive environment of belonging. In 2022, we were recognized by Forbes as one of the World's Best Employers and one of the Best Employers for Diversity.

Salary Range: $222,200 - $305,600 USD
Employee pay will vary based on factors such as qualifications, experience, skill level, competencies and work location. We will meet minimum wage or minimum of the pay range (whichever is higher) based on city, county and state requirements.

US Candidates
Please note that effective, June 30, 2022, Gap Inc. will no longer require any of its employees to wear face masks or require proof of COVID vaccination, unless required by local or state/provincial mandates or as part of Gap Inc’s quarantine guidelines after being exposed to or testing positive for COVID. Therefore, please disregard any language in any job posting that refers to Gap Inc.’s face mask and proof of vaccination policy as said policy is no longer effective.

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