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Manager, Marketing Data & Automation

Pernod Ricard USA

NEW YORK, NYJob$114–142K/yrSeen 5 days agoSeen in employer's feed 5 days ago

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At a glance

Compensation
$114–142K/yr
Location
NEW YORK, NY
Work Authorization
Not specified

Olive lists jobs from US employers, including remote roles you can work from the United States.

Job overview

The Manager, Marketing Data & Automation supports Brand Marketing, Trade Marketing, and Marketing Insights by turning data into scalable reporting and actionable insights. The role develops automated Power BI dashboards and reporting, supports marketing analytics and planning tools, and contributes to data integration and AI data-readiness initiatives. It can be based in the New York City or Chicago office and reports to the Director, Data Automation.

Skills & qualifications

RequiredNice to have

Skills

Marketing Data AnalysisPower BIData VisualizationReporting AutomationData IntegrationAI Data ReadinessStakeholder CollaborationAttention to Detail

Full job description

Where Conviviality is at work. Pernod Ricard is a global premium international champagnes and spirits company. We're the team behind leading brands such as ABSOLUT Vodka, Jameson Irish Whiskey, Malibu, Kahlua Liqueur, The Glenlivet, Beefeater and Malfy Gins, and a leading portfolio of American whiskey brands including Jefferson's, Rabbit Hole, TX, Smooth Ambler and Skrewball whiskey. Working at Pernod Ricard is all about igniting conviviality in all that we do. Derived from the French word, convivialite...it means human connection, authenticity, friendly, and jovial. Conviviality is energy and spirit with a splash of je ne sais quoi and is a core philosophy around how we live and work at Pernod Ricard. Guided by our 4 core values: (1) grounded in the real; (2) fiercely authentic; (3) passion for challenge; and (4) connected beyond borders; we are team players, dream makers, trailblazers, movers and (cocktail) shakers. We have a passion for living life to the fullest, making new friends every day, and realizing our potential as people and as a business! The salary range for this role, based in New York, is $114,000.00to $142,450.00. The range may vary if the role outside of this location. Base salaries are determined during our interview process, by assessing a candidate'sexperience, skills against internal peers and against the scope and responsibilities of the position.Job Summary:The Manager, Marketing Data & Automation will support Brand Marketing, Trade Marketing, and Marketing Insights by transforming data into scalable, actionable reporting and insights. This role will lead the development and enhancement of automated reporting and visualization solutions in Power BI, including post-event analysis, shopper journey and basket insights, and fiscal-year planning tools. The Manager will also support AI data-readiness and contextualization initiatives for the datasets that serve Marketing teams. This role reports to the Director, Data Automation and can be based in our New York City or Chicago office.Who will love this job:You enjoy turning complex data into clear, useful insights that help business teams make better decisions. You are equally comfortable digging into datasets, building intuitive dashboards, and partnering with stakeholders to understand what information they need. You bring a strong understanding of marketing or commercial data and know how to connect business questions with practical analytics solutions. You will thrive in this role if you are curious, detail-oriented, collaborative, and motivated by finding smarter ways to automate and improve how teams use data.What you'll do:Marketing Data & Insights * Serve as a subject matter expert for key brand KPIs, marketing metrics, market research, and consumer and shopper insights datasets. * Translate business questions into meaningful reporting and analysis that help Marketing teams better understand brand and commercial performance. * Support post-event analysis, shopper journey, basket insights, and other recurring Marketing analytics needs.Data Visualization & Reporting Automation * Develop, maintain, and continuously improve Power BI dashboards and automated reporting solutions supporting Brand Marketing, Trade Marketing, and Marketing Insights. * Build scalable and user-friendly reporting tools that improve access to timely, consistent, and actionable information. * Identify opportunities to reduce manual reporting and improve efficiency through automation.Data Integration & Readiness * Support the ingestion, integration, and automation of new Marketing and Insights data sources. * Partner with internal teams to improve the structure, usability, and connectivity of Marketing datasets. * Support AI data-readiness and contextualization initiatives to ensure Marketing data can be effectively leveraged by emerging analytics and AI solutions.Planning & Business Support * Support the devel

How this job compares

Set against the 472 open Marketing Analytics jobs on Olive Jobs, counted October 27, 2026.

Pay
  • This posting$114–142K/yr
  • New York median$128–180K/yr61 salary ranges
  • US median$125–181K/yr355 salary ranges

This range's midpoint, $128K, is 17% below the New York median midpoint ($155K) — in the middle half of Marketing Analytics salary ranges in New York.

Openings
Olive Jobs lists 88 open Marketing Analytics jobs in New York and 472 across the US. 7% of them nationwide are listed as remote or flexible.
Hiring the most in New York
Experience
Marketing Analytics postings that state a minimum ask for 5 years of experience at the median; the middle half ask for 3 to 8 years (420 postings).
Education
158 of the 472 open Marketing Analytics jobs (33%) ask for a bachelor's degree or higher.

Counted across the open, public US postings on Olive Jobs on October 27, 2026. Pay medians are the middle values of the low ends and of the high ends of postings that list both ends of a range in the same cadence (a yearly salary or an hourly rate); a range's midpoint is halfway between its ends. Pay and experience figures resting on fewer than 20 postings are left out.

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