Lead Analyst, Database Marketing

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

Work arrangement
Hybrid