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Data & Analytics

Manager - Marketing Technology & Data Governance

  • India
  • Manager
  • Remote
  • Full time
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Location

India

Setup

Remote

Posted

today

Lo que harás

Accountabilities:

  • 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.

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.

Benefits:

  • Competitive compensation aligned with experience and industry standards.

  • Opportunity to work in a fast-growing digital banking and technology environment.

  • Exposure to modern marketing technology stacks and data-driven systems.

  • Flexible work arrangement (virtual/remote setup).

  • Strong focus on learning, innovation, and professional development.

  • Opportunity to influence marketing performance through data and automation excellence.

  • Collaborative, cross-functional environment with global teams.

  • Work on high-impact systems supporting digital transformation in financial services.

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1

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About Data & Analytics roles

Data & analytics professionals in marketing transform raw data into actionable insights. They build dashboards, run attribution analysis, design experiments, and help marketing teams make data-driven decisions.

SQLPython/RDashboard building (Looker, Tableau)Statistical analysisMarketing attribution
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