Manager - Marketing Technology & Data Governance
New
IndiaFull-TimeManager
Salary not disclosed
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Job Details
- Experience
- 5–8 years
- Required Skills
- SQLMicrosoft Power BISalesforceTableauCRMLooker
Requirements
- 5–8 years of experience in Marketing Operations, Martech, CRM management, or data governance roles, preferably in B2B SaaS environments.
- Hands-on experience with marketing automation and CRM platforms such as Marketo, Salesforce, or equivalent tools.
- Strong understanding of campaign execution, lead management, segmentation, and marketing workflows.
- Experience with web analytics tools and CMS platforms (e.g., Webflow or similar).
- Familiarity with marketing intelligence tools such as 6sense, ZoomInfo, ON24, or similar platforms is a plus.
- Working knowledge of SQL and analytics tools such as Power BI, Tableau, or Looker.
- Strong understanding of data quality principles, data structures, and system integrations.
- Experience managing reporting accuracy, dashboard validation, and campaign performance tracking.
- Strong analytical thinking, attention to detail, and structured problem-solving skills.
- Ability to work cross-functionally with marketing, sales, and technical teams in a fast-paced environment.
Responsibilities
- Manage end-to-end marketing automation operations, including campaign setup, email workflows, landing pages, forms, and nurture programs.
- Oversee CRM data governance, ensuring accuracy, consistency, segmentation quality, and adherence to data standards.
- Maintain and improve lead lifecycle workflows, campaign tracking, and operational troubleshooting across marketing systems.
- Support data hygiene processes including deduplication, enrichment, taxonomy management, and list validation.
- Monitor integrations between CRM, marketing automation, analytics, and other connected platforms, resolving data sync issues proactively.
- Support website and landing page updates through CMS tools and ensure alignment with campaign objectives.
- Develop and maintain documentation for workflows, integrations, data structures, and operational processes.
- Support reporting and analytics across marketing performance, funnel conversion, and campaign effectiveness.
- Ensure data readiness for dashboards, predictive models, and AI-driven marketing initiatives.
- Identify and implement process improvements to enhance automation, efficiency, and governance standards.
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