Marketing Operations & AI Manager

Overview

Marketing Operations & AI Manager for Asia and Emerging Markets, running the region's marketing technology, data, automation, and reporting: the platforms, integrations, data, dashboards, and AI workflows the marketing team depends on.

What you'll do

• Administer, configure, and maintain regional marketing technology platforms and integrations day to day, including Eloqua (or the regional marketing automation platform) and Salesforce, covering system configuration, user management, data flows, and platform migrations.
• Build and maintain lead capture, scoring, and lifecycle management, routing rules, and the MQL to SQL definitions and handoff into business development and sales.
• Own the KPI and reporting framework and the data behind it, including tracking and attribution.
• Analyse marketing and pipeline performance and turn the numbers into clear insight and recommendations for marketing and commercial leaders.
• Build and maintain reporting in Power BI and SQL, and guide the more junior analyst who produces routine reporting.
• Design, build, and run AI and agent workflows for repetitive operations tasks such as data hygiene, lead routing, segmentation, reporting, and localisation.
• Maintain data quality, enrichment, and the integrity of records, and keep marketing activity compliant with data regulation across AEM markets.
• Maintain campaign taxonomy, naming, and standard processes and templates that keep marketing consistent across markets, and support budget tracking and reporting.
• Create clear documentation and run onboarding and training so marketers across the region use the tools and processes consistently, and work with external vendors and platform partners.

What you'll need

• Five or more years hands-on in marketing operations, marketing technology, or go-to-market operations in a B2B technology environment.
• Strong hands-on experience administering a marketing automation platform such as Eloqua or Marketo, and Salesforce, including automation, integrations, lead scoring, and lifecycle management.
• Strong data and analytics background: query and join data with SQL, build reporting in Power BI, and turn marketing and pipeline data into clear analysis, insight, and recommendations.
• A foundation in business analytics or data science, comfortable working with larger datasets to find and explain what is happening.
• Hands-on experience building AI and automation, including agentic AI workflows, to remove repetitive work and speed up marketing operations.
• Practical command of the lead lifecycle and a sales and marketing reporting background, including lead scoring, routing, the MQL to SQL handoff, and funnel reporting.
• Experience working across a matrixed, multi-region organisation, ideally across Asia or emerging markets.
• A self-starter who spots and fixes problems before they reach the wider team, experienced enough to set the reporting standard and guide a more junior analyst, and a clear communicator who can explain technical work to non-technical colleagues.

Nice to have

• Relevant certifications.

Details

• Location: Bangalore, Karnataka, India (Bengaluru, Karnataka).
• Hybrid work model for office-based roles.
• Flexible work arrangements, including work from anywhere for up to 8 weeks per year.