Gap Inc.

About the Role

The Data Science and Analytics Team at Gap Inc. applies data analysis and machine learning techniques to drive business benefits for Gap Inc. and its brands. The team’s focus is on ML / AI and Analytical capabilities to support customer acquisition and retention, personalization, and marketing at Gap Inc. Areas of expertise include search and recommendation, segmentation, targeting, forecasting, marketing effectiveness measurement and optimizations, customer behaviors, site analytics and business growth initiatives. You will support the team to build and deploy Data and Analytics capabilities, in partnership with GapTech, Product Management, & business partners across our brands.

What You'll Do

Job Overview:

As the Vice President of Consumer Data Science and Analytics, you will play a pivotal role in driving data-driven decision-making within organization. This senior leadership position requires an experienced data science and analytics professional with a proven track record of leveraging data to optimize retail strategies and business outcome. You will be responsible for building and leading a high-performing data science and analytics team, implementing advanced analytics techniques, and providing actionable insights to drive customer growth and retention.

Responsibilities:

Strategic Leadership:

• Provide visionary leadership in the development and execution of consumer data science and analytics strategies aligned with business objectives.
• Collaborate with C-level executives to integrate analytics into overall business strategies.

Team Management:

• Lead and mentor a team of analytics professionals, fostering a culture of innovation, collaboration, and continuous learning.
• Oversee the recruitment, training, and development of analytics talent.

Advanced Analytics Implementation:

• Drive the implementation of advanced analytics techniques, including machine learning and predictive modeling, to enhance customer insights and business predictions.
• Stay abreast of industry trends and emerging technologies to continually evolve the analytics capabilities.
• Build Predictive Customer models for Marketing Tech (Lifetime Value, Propensity)

KPI Development and Monitoring:

• Define key performance indicators (KPIs) for business performance and continuously monitor, analyze, and report on these metrics.
• Work closely with cross-functional teams to align analytics with business goals.

Customer Analysis:

• Utilize customer segmentation and behavior analysis to identify opportunities for personalized marketing, and improved customer experience.
• Build Loyalty and Retention models.

Conversion Rate Optimization:

• Lead initiatives to optimize the conversion funnel, from product discovery to checkout, by identifying and addressing bottlenecks and friction points.

Competitor and Market Analysis:

• Conduct in-depth analysis of market trends, competitor performance, and consumer preferences to inform strategic decision-making.
• Provide recommendations for maintaining a competitive edge in the retail landscape.

Marketing Analytics and Loyalty:

• Collaborate with the marketing team to assess the effectiveness of marketing campaigns and channels.
• Provide insights to optimize marketing spend and improve ROI.
• Build Multi touch attribution and marketing mix models

Technology Integration:

• Evaluate and implement cutting-edge analytics tools and technologies to enhance the efficiency and effectiveness of data analysis.

Who You Are

• Proven experience in customer analytics, with a track record of success in optimizing Omni channel retail strategies.
• Strong leadership skills with experience managing and developing high-performing advance analytics teams.
• In-depth knowledge of advanced analytics techniques, machine learning, and predictive modeling.
• Proficiency in data visualization tools and business intelligence platforms.
• Excellent communication skills with the ability to convey complex analytics concepts to non-technical stakeholders.
• Ability to summarize key insights and recommend actions to c-suite.