Manager, Marketing Data Operations

Denver, CO

Applications have closed

Box

Box empowers your teams by making it easy to work with people inside and outside your organization, protect your valuable content, and connect all your apps.

View company page

WHAT IS BOX? Box is the market leader for Cloud Content Management. Our mission is to power how the world works together. Box is partnering with enterprise organizations to accelerate their digital transformation by creating a single platform for secure content management, collaboration and workflow. We have an amazing opportunity to further establish ourselves as leaders in the space, and we need strong advocates to help us achieve that goal.  By joining Box, you will have the unique opportunity to help capture a majority of this developing market and define what content management looks like for the digital enterprise. Today, Box powers over 100,000 businesses, including 67% of the Fortune 500 who trust Box to manage their content in the cloud.    WHY BOX NEEDS YOU Marketing Operations, Data Management is a critical function in supporting Box's growth. As the Marketing Operations Data Management Manager, you’ll be at the heart of our data operations practice and will be responsible for establishing an operational infrastructure to enable Box’s global marketers to deliver best-in-class data-driven marketing.  We are seeking individuals passionate about data management and operations, with an eagerness to build and lead a team by defining a strategic agenda for a newly centralized data operations team. Excellent communication, leadership, and management skills enable you to grow the team's professional development while working in close partnership with with cross-functional teams across Business Analytics, Sales Operations, Marketing, and Information Technology.      WHAT YOU'LL DO  You will be responsible for driving operational excellence and efficiency by managing and optimizing the functional aspects of our data collection platforms, integration with Salesforce and other third-party platforms. You will prioritize initiatives and maintain a roadmap for data management improvements, and as the owner of the marketing database, will ensure that data processes are expertly executed, leads are accounted, delivered and reported on. We would love to see enthusiastic candidates with a passion for data and innovative practices. 
  • Own the marketing database including data hygiene, enrichment, sourcing, and data flows 
  • Collaborate with upstream and downstream data supply chain internal partners to enable utilization of marketing-sourced data by other systems and teams  
  • Lead data privacy-related initiatives including data inventory, mapping, and privacy impact assessments 
  • Develop a community around marketing data management, focused on sharing best practices, establishing standards, and recognizing effective results 
  • Partner with Sales and other GTM functions to ensure consistent data for contacts/leads across the Lead to Cash process 
  • Partner with the web engineering, digital analytics, and BA team to ensure that campaign measurement attribution is effective 
  • Collaborate with marketing operations leaders on platform integrations, enhancements, campaign execution, best-practice implementation including training and enablement of the extended team 
WHO YOU ARE 
  • 5+ years of marketing operations, marketing data management and governance experience, with hands-on and expert knowledge of Marketo and Salesforce required - Marketo Certified Expert preferred 
  • Experience with SQL and/or Business Intelligence tools (i.e., Tableau), SnapLogic, or other integration platform services a plus  
  • Experience with various campaign measurement methodologies and with implementing different types of attribution models 
  • Project management skills with the ability to prioritize and manage multiple projects  
  • Deep understanding of data privacy-related regulations (i.e., GDPR) and impact to marketing 
  • Ability to onboard and/or manage third-party software/agency vendors 
  • Bachelor's Degree in Computer Science, Marketing or Business or other related fields or equivalent work experience 
BENEFITS  EQUAL OPPORTUNITY  We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

HEALTH AND SAFETY To promote the health and safety of all Boxers and our communities, in order to "Go to Work" at Box in the U.S., you must be Fully Vaccinated or have an approved accommodation. "Go(ing) to Work" at Box is defined as visiting a Box office, facility, or co-working site, visiting or meeting in person with fellow Boxers, Box clients and/or customers, vendors, or partners, engaging in business travel, and or participating in any Box-sponsored and/or related activity where others are present.  If you are fully remote and do not "Go to Work,” the vaccination requirement is not applicable.  "Fully Vaccinated" means that an individual is at least two weeks past their final dose of an authorized COVID-19 vaccine regimen.  If you are unable to get a vaccine due to a medical condition, a sincerely-held religious belief or another legally recognized reason, Box will consider requests for an accommodation. For details on how we protect your information when you apply, please see our Personnel Privacy Notice. Notice to applicants in San Francisco:  Box, Inc and its related branches will consider for employment, qualified applicants with criminal histories in a manner consistent with the San Francisco Fair Chair Ordinance.  The Fair Chance Ordinance is provided here.   

#LI-KN1

Tags: Business Analytics Business Intelligence Computer Science Data management Engineering SQL Tableau

Perks/benefits: Career development Health care

Region: North America
Job stats:  0  0  0

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.