Digital Ops Data Manager

The Digital Ops Data Manager primary goal will be to ensure Digital Ops has the right data architecture and infrastructure for a best-in-class tracking, attribution and web analytics integrations. For this, they'll own the business definitions and do operational work to maintain and evolve Mongo

DB's Identity Graph, Web Sessions, Channel, Attribution Models and systems, and Marketing Touchpoint Repository. This technical and cross-functional role will sit under the Marketing Ops structure, working closely with Marketing Analytics, Data teams, and Growth Analytics teams to ensure we're measuring the right data for Mongo

DB's business needs.

We are looking to speak to candidates who are based in Austin for our hybrid working model or remote options within the United States will be considered for the right candidate.

• Own Identity Graph, its architecture, implementation, and data pipelines
• Own Marketing Touchpoint Repository, being responsible for query optimization, data availability and SLA definitions
• Own Digital Ops system integrations from DW, like Mixpanel, Ad Ops conversions, among others
• Partner with Marketing Technology Architect to define best practices for Digital Ops infrastructure
• Own the infrastructure to prevent Bot traffic from impacting vendor quotas and analytics
• Manage data assets across Trino and Big Query data platforms according to best practices
• Partner with Data Engineering team to ingest raw Marketing data into the Bronze Layer as needed, and create Silver Layer objects that should be broadly used throughout the company
• Document metadata for Marketing-owned objects in the enterprise data catalog, promoting self-service data discovery

• 5+ years of experience in data engineering, architecture, governance or analytics roles
• Vast experience in owning ETL data pipelines between different systems and architectures
• Experience in  frameworks and CDP systems (Segment, Tealium, Adobe CDP, etc)
• Experience across a variety of SQL environments (Presto/Trino, Big Query, etc).
• Experience in Web Analytics data (Segment, Mixpanel, Google Analytics, or others)
• Excellent organizational, project management, communication skills, and script governance skills
• Natural drive for creative problem-solving.

Mongo

DB is built for change, empowering our customers and our people to innovate at the speed of the market. We have redefined the database for the AI era, enabling innovators to create, transform, and disrupt industries with software. Mongo

DB’s unified database platform—the most widely available, globally distributed database on the market—helps organizations modernize legacy workloads, embrace innovation, and unleash AI. Our cloud-native platform, Mongo

DB Atlas, is the only globally distributed, multi-cloud database and is available across AWS, Google Cloud, and Microsoft Azure.

With offices worldwide and nearly 60,000 customers—including 75% of the Fortune 100 and AI-native startups—relying on Mongo

DB for their most important applications, we’re powering the next era of software.

Our compass at Mongo

DB is our Leadership Commitment, guiding how and why we make decisions, show up for each other, and win. It’s what makes us Mongo

DB.

To drive the personal growth and business impact of our employees, we’re committed to developing a supportive and enriching culture for everyone. From employee affinity groups, to fertility assistance and a generous parental leave policy, we value our employees’ wellbeing and want to support them along every step of their professional and personal journeys. Learn more about what it’s like to work at Mongo

DB, and help us make an impact on the world!

Mongo

DB is committed to providing any necessary accommodations for individuals with disabilities within our application and interview process. To request an accommodation due to a disability, please inform your recruiter.

Mongo

DB, Inc. provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type and makes all hiring decisions without regard to race, color, religion, age, sex, national origin,…