Digital Ops Data Manager

MongoDB • Austin, TX

6d

About The Position

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 MongoDB'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 MongoDB's business needs.

Requirements

• 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 Id graph frameworks and CDP systems (Segment, Tealium, Adobe CDP, etc)
• Experience across a variety of SQL environments (Presto/Trino, BigQuery, 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.

Responsibilities

• 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 BigQuery 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

Benefits

• equity
• participation in the employee stock purchase program
• flexible paid time off
• 20 weeks fully-paid gender-neutral parental leave
• fertility and adoption assistance
• 401(k) plan
• mental health counseling
• access to transgender-inclusive health insurance coverage
• health benefits offerings

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed
• Number of Employees: 5,001-10,000 employees