We are looking for a Marketing Database Management professional to own and evolve the organization's marketing data foundation. The role will be responsible for ensuring that Marketing has access to a trusted, accurate, complete, compliant and business-ready database that can support demand generation, account-based marketing, personalization, campaign execution, lead management, analytics and AI-driven marketing.

The ideal candidate would own the quality, governance, growth, enrichment and usability of the marketing database, while partnering closely with MarTech, Campaigns, Sales/SDR, Analytics, IT and Enterprise Systems. The person will be expected to establish a scalable data management framework, identify and eliminate data quality issues, improve the marketable database, automate repetitive data processes and help build the data foundation required for advanced analytics and AI.

• 6+ years of experience in Database Management, Marketing Operations, CRM Data, Revenue Operations or a related field
• Strong experience managing complex B2B databases
• Excellent understanding of CRM and Marketing Automation data models
• Experience with platforms such as Salesforce, Marketo, HubSpot, ZoomInfo or equivalent data/enrichment platforms
• Knowledge of data governance, segmentation, enrichment, deduplication and consent management
• Familiarity with SQL, APIs, data warehouses/lakes and BI tools is desirable
• Strong stakeholder management skills across Marketing, Sales, IT/Data and Enterprise Systems
• Analytical, process-oriented and highly detail-oriented

1. Marketing Database Strategy

• Own the Marketing database strategy, health and roadmap
• Define and maintain standards for account, contact, lead and prospect data
• Drive database growth, coverage and marketable database development
• Establish database health and quality scorecards

 

2. Data Quality & Enrichment

• Own data cleansing, deduplication, normalization and validation
• Develop data enrichment and augmentation strategies
• Improve accuracy, completeness, freshness and usability of Marketing data
• Establish processes to prevent bad data from entering the database

 

3. Data Governance & Compliance

• Define data ownership, governance, taxonomy and data standards
• Manage consent, suppression and data retention requirements
• Partner with Enterprise Systems, Security and Legal on data governance and compliance

 

4. Segmentation & Data Activation

• Develop audience segmentation frameworks for campaigns, ABM, personalization and nurture
• Partner with Campaign, Email and Lead Management teams to ensure audiences are accurate and activation-ready
• Improve target-account and persona coverage

 

5. MarTech & Data Integration

• Partner with the MarTech team to ensure reliable data flows across CRM, Marketing Automation, enrichment, web, SDR and analytics platforms
• Identify data integration gaps, synchronization issues and data leakage
• Support requirements for the future Marketing Data Lake / data foundation

 

6. Automation & AI

• Identify opportunities to automate data cleansing, enrichment, validation, segmentation and quality monitoring
• Explore AI-enabled approaches for entity matching, classification, enrichment and anomaly detection
• Continuously reduce manual database management effort