VP, MARKETING INSIGHTS & ANALYTICS

Jack In The Box•San Diego, TX

13d•$250,000 - $370,000

About The Position

The VP, Marketing Insights & Analytics leads Jack in the Box’s integrated Marketing Insights & Analytics function, bringing together consumer and marketing insights, brand and competitive intelligence, and analytics to deliver clear, actionable recommendations. The role owns the marketing learning agenda, research and analytics capabilities, measurement frameworks, dashboards, and performance reporting to explain business and marketing performance and inform evidence-based decisions in partnership with cross-functional teams. The position leads consumer research and strategic learning; integrated marketing and business performance analysis; brand health and competitive intelligence; customer and loyalty analytics; marketing effectiveness measurement; and data, reporting, and analytics capabilities. It builds high-performing teams, promotes continuous learning and evidence-based decision-making, and influences senior leaders through objective analysis and compelling communication. The position requires approximately 20–25% travel as business needs require. Jack in the Box offers a competitive salary and Total Rewards package. The salary range is $250,000–$370,000 for an employee located at corporate headquarters; a geographic pay differential may apply to remote employees based on the labor market where they reside.

Requirements

Bachelor’s degree in Marketing, Business Administration, Economics, Statistics, Psychology, Market Research, Analytics, Data Science, or a related field.
12+ years of progressive experience in consumer insights, marketing analytics, business analytics, customer analytics, market research, brand intelligence, competitive intelligence, marketing measurement, or related disciplines.
Demonstrated experience leading teams across both insights and analytics and integrating qualitative and quantitative research, business performance data, customer data, and marketing measurement into actionable recommendations.
Deep expertise in consumer insights, market research, consumer behavior, customer analytics, and marketing measurement.
Advanced understanding of sales, traffic, transaction, menu, product, promotional, pricing, customer, loyalty, and media analytics.
Deep knowledge of brand health measurement, competitive intelligence, and category analysis.
Ability to identify performance drivers and distinguish correlation from actionable insight.
Ability to synthesize complex information into clear executive-level insights, implications, and recommendations.
Strong financial and commercial acumen and ability to connect marketing activity to business outcomes.
Exceptional storytelling, visualization, presentation, and communication skills.
Ability to influence senior leaders while maintaining analytical objectivity and independence.
Strong people leadership, project management, and organizational capabilities.
Proficient knowledge of personal computers and Microsoft Office 365, including Word and Excel, and modern research, business intelligence, visualization, and analytics platforms.
Integrity and ethical behavior.
Ability to communicate clearly in person and by telephone and operate a computer keyboard.
Ability to travel approximately 20–25% of the time as business needs require.

Nice To Haves

MBA or advanced degree.
Experience within the Restaurant, Consumer Products, Retail, Hospitality, or Franchise industries is strongly preferred.

Responsibilities

Lead all consumer research and insights activities and establish a learning agenda tied to key business and marketing questions.
Oversee qualitative and quantitative research, including segmentation, usage and attitudes, concept and product testing, creative evaluation, customer journey research, brand health, and innovation validation.
Build understanding of consumer needs, motivations, attitudes, behaviors, occasions, and barriers; identify changes in consumer behavior, culture, category dynamics, and purchase motivations.
Synthesize research into insights, implications, and recommendations for Marketing and cross-functional partners.
Connect sales, traffic, transactions, customer, menu, media, promotional, and brand data to develop an integrated view of marketing and business performance.
Identify business performance drivers, diagnose strengths, weaknesses, risks, and opportunities, and evaluate marketing programs, promotions, products, campaigns, and customer initiatives against objectives.
Conduct deep-dive analyses and establish benchmarks and performance standards.
Lead measurement of brand health, consumer perceptions, consideration, preference, relevance, and other brand indicators.
Develop competitive and marketplace intelligence covering competitor marketing, promotions, menu innovation, pricing, value, media investment, digital activity, and brand positioning; provide regular reporting and identify threats, shifts, and opportunities.
Lead customer analytics across acquisition, retention, frequency, churn, reactivation, digital engagement, loyalty, and customer lifetime value.
Develop and maintain customer segmentation and behavioral frameworks; partner with Digital & Growth Marketing on loyalty, CRM, personalization, digital adoption, and engagement performance.
Partner with Technology and Data teams to strengthen first-party customer data, analytical capabilities, and customer measurement; advance predictive analytics and modeling.
Lead measurement of marketing effectiveness across paid, owned, earned, digital, social, CRM, and other channels.
Establish campaign and investment measurement frameworks, including marketing mix modeling, attribution, incrementality testing, media effectiveness, and ROI analysis.
Connect marketing investment with customer behavior, sales, transactions, and brand outcomes.
Establish dashboards, reporting tools, scorecards, and analytical frameworks that provide actionable visibility into marketing and business performance.
Create consistent definitions, methodologies, and measurement standards across Marketing.
Partner with Technology, Data, Finance, and other functions to improve data quality, accessibility, integration, and usability; advance analytics tools, models, and methodologies.
Coach and develop high-performing teams, collaborate across functions, and influence decisions through objective analysis and clear communication.
Perform other related duties, tasks, and responsibilities as required, assigned, and directed.