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Associate Manager, AIDM Analytics

Yum! Brands

Associate Manager, AIDM Analytics

full-timePosted: Jul 7, 2026Updated: Aug 29, 2026Irvine, CA, United States

Job Description

About the Job: As the Associate Manager, AIDM Analytics on Taco Bell’s Digital Customer Intelligence team, you will champion data-driven strategies to elevate our digital customer experience. You will support and enhance existing analytics initiatives, turning insights into impactful business decisions, while ensuring analytics support is given to cross-functional partners (CRM, Ecommerce, Loyalty, etc.) for any technology or automation use cases. In addition, you will focus on creating and maturing analytics capabilities for AI-driven marketing, leveraging internal data models, and customer data platforms. The Day-to-Day: Collaborate with cross-functional partners (Campaign Analytics, CRM, Ecommerce, Loyalty, etc.) and tech partners to improve applied analytics, strategy, and learnings for our digital teams Drive technology implementation, data QA, and regression testing across several platforms and enable these techonlogies for cross-functional partnersOwn AI-driven marketing intelligence by providing analytics of changes in customer behavior and recommending strategies, insights and learnings Own problem solving and exploration of expanding use-cases for AI-driven marketing, partnering with internal teams and external vendors to ensure applied learnings and clear path forwardEnhance existing analytics processes by recommending new tools, methodologies, and best practicesOversee and manage comprehensive data QA processes, including regular audits, to ensure robust data governance and maintain high levels of data accuracy across all platforms. Is This You?• Bachelor’s degree in a technical field (Math, STEM, Economics, Statistics, etc.)• 7+ years of analytics experience, preferably with a focus on digital customer analytics• Minimum 5 years of experience in SQL (required)• Experience in A/B testing methodologies and best practices, especially on a digital platform• Experience in AI/Technology enablement and data QA preferred • Strong communication skills – be able to effectively communicate complex analytics to non-technical stakeholders• Technically proficient with digital analytics platforms (e.g. GA4, Mixpanel, Amplitude, etc.) and visualization tools (e.g. Tableau, Looker, Power BI, Sigma, etc.)• Experience with advanced data models, AI, and customer data platforms a big plusWork-Hard, Play-Hard: • Hybrid work schedule and year-round flex day Friday Note: Remote/hybrid expectations will be discussed during the kickoff meeting with your Talent Advisor & HRBP. • Onsite childcare through Bright Horizons • Onsite dining center and game room (yes, there is a Taco Bell inside the building) • Onsite dry cleaning, laundry services, carwash, • Onsite gym with fitness classes and personal trainer sessions • Up to 4 weeks of vacation per year plus holidays and time off for volunteering • Tuition reimbursement and education benefits • Generous parental leave for all new parents and adoption assistance program • 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting • Comprehensive medical & dental including prescription drug benefits and 100% preventive care • Discounts, free food, swag and… honestly, too many good benefits to name Salary Range: $109,400 - $128,600 + eligible bonus + benefits At Taco Bell, we Live Más and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self!Taco Bell is proud to be an equal opportunity employer and is committed to equity, inclusion, and belonging for all dimensions of diversity. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, veteran status, disability status, age, or any other protected characteristic.Taco Bell is committed to working with and providing reasonable accommodation to applicants with disabilities or special needs.

Locations

  • Irvine, CA, United States

Salary

109,400 - 128,600 USD / yearly

Skills Required

  • SQLintermediate
  • A/B testing methodologiesintermediate
  • AI/Technology enablementintermediate
  • advanced data modelsintermediate
  • digital analytics platformsintermediate

Required Qualifications

  • • Bachelor’s degree in a technical field (Math, STEM, Economics, Statistics, etc.)• 7+ years of analytics experience, preferably with a focus on digital customer analytics• Minimum 5 years of experience in SQL (required)• Experience in A/B testing methodologies and best practices, especially on a digital platform• Experience in AI/Technology enablement and data QA preferred • Strong communication skills – be able to effectively communicate complex analytics to non-technical stakeholders• Technically proficient with digital analytics platforms (e.g. GA4, Mixpanel, Amplitude, etc.) and visualization tools (e.g. Tableau, Looker, Power BI, Sigma, etc.)• Experience with advanced data models, AI, and customer data platforms a big plus (experience, 7 years)
  • Work-Hard, Play-Hard: • Hybrid work schedule and year-round flex day Friday Note: Remote/hybrid expectations will be discussed during the kickoff meeting with your Talent Advisor & HRBP. • Onsite childcare through Bright Horizons • Onsite dining center and game room (yes, there is a Taco Bell inside the building) • Onsite dry cleaning, laundry services, carwash, • Onsite gym with fitness classes and personal trainer sessions • Up to 4 weeks of vacation per year plus holidays and time off for volunteering • Tuition reimbursement and education benefits • Generous parental leave for all new parents and adoption assistance program • 401(k) with a 6% matching contribution from Yum! Brands with immediate vesting • Comprehensive medical & dental including prescription drug benefits and 100% preventive care • Discounts, free food, swag and… honestly, too many good benefits to name (experience)
  • Salary Range: $109,400 - $128,600 + eligible bonus + benefits (experience)
  • At Taco Bell, we Live Más and invite you to do the same. Take a seat at our table. Bring your voice. Bring you, just as you are, a Cultural Rebel. We want you to be your best self! (experience)

Responsibilities

  • Collaborate with cross-functional partners (Campaign Analytics, CRM, Ecommerce, Loyalty, etc.) and tech partners to improve applied analytics, strategy, and learnings for our digital teams
  • Drive technology implementation, data QA, and regression testing across several platforms and enable these techonlogies for cross-functional partners
  • Own AI-driven marketing intelligence by providing analytics of changes in customer behavior and recommending strategies, insights and learnings
  • Own problem solving and exploration of expanding use-cases for AI-driven marketing, partnering with internal teams and external vendors to ensure applied learnings and clear path forward
  • Enhance existing analytics processes by recommending new tools, methodologies, and best practices
  • Oversee and manage comprehensive data QA processes, including regular audits, to ensure robust data governance and maintain high levels of data accuracy across all platforms.
  • Collaborate with cross-functional partners (Campaign Analytics, CRM, Ecommerce, Loyalty, etc.) and tech partners to improve applied analytics, strategy, and learnings for our digital teams
  • Drive technology implementation, data QA, and regression testing across several platforms and enable these techonlogies for cross-functional partners
  • Own AI-driven marketing intelligence by providing analytics of changes in customer behavior and recommending strategies, insights and learnings
  • Own problem solving and exploration of expanding use-cases for AI-driven marketing, partnering with internal teams and external vendors to ensure applied learnings and clear path forward
  • Enhance existing analytics processes by recommending new tools, methodologies, and best practices
  • Oversee and manage comprehensive data QA processes, including regular audits, to ensure robust data governance and maintain high levels of data accuracy across all platforms.

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