Senior Marketing Manager - AI & Campaign Analytics Transformation

The Marketing Manager will be a key member of the Campaign Analytics team, responsible for transforming marketing intelligence through AI, automation, advanced analytics, and performance insights. This role will drive data-driven decision-making by proactively monitoring business performance, identifying trends, uncovering risks and opportunities, and delivering actionable recommendations that improve marketing effectiveness and business outcomes.

The ideal candidate is a strategic thinker with strong analytical capabilities, hands-on experience in AI-enabled analytics, and the ability to translate complex data into actionable business insights. Acting as a performance intelligence hub for Marketing, this role will help leadership make faster, smarter, and more informed decisions.

Experience: 8–12 Years
Location: Bangalore / Noida
Shift: 2:00 PM – 11:00 PM IST

Key Responsibilities

AI & Analytics Transformation

• Drive the adoption of AI, automation, and advanced analytics to enhance the speed, scale, and quality of marketing insights.
• Design and deploy AI-powered solutions, intelligent agents, and automated workflows to streamline analysis, reporting, and opportunity identification.
• Identify and automate recurring analytical processes to improve efficiency and reduce manual effort.
• Partner with Marketing Operations and Technology teams to enhance analytical capabilities and optimize workflows.
• Establish best practices and governance for AI-assisted analytics and insight generation.

Strategic Business Insights

• Analyze end-to-end marketing and revenue performance across campaigns, funnels, pipeline creation, sales, and revenue outcomes.
• Conduct in-depth analysis to identify trends, growth opportunities, performance challenges, and key business drivers.
• Perform root-cause analysis to explain performance fluctuations and support strategic decision-making.
• Develop forecasting models, scenario planning frameworks, and business performance analyses to guide investment and planning decisions.
• Deliver data-backed recommendations that improve marketing effectiveness and overall business performance.

Performance Intelligence & Forecasting

• Continuously monitor key marketing KPIs, including lead generation, MQL volume, conversion rates, funnel health, pipeline creation, campaign performance, and revenue attainment.
• Provide proactive visibility into performance against goals, forecasts, and business targets.
• Develop pacing, forecasting, and scenario models to identify potential performance gaps and enable early intervention.
• Track week-over-week performance trends and communicate key business insights to stakeholders.

Automated Monitoring & Anomaly Detection

• Build and maintain automated monitoring systems and alerting frameworks to identify significant changes in marketing performance metrics.
• Detect emerging risks, unusual activity, and performance anomalies across campaigns, channels, website traffic, conversion rates, pipeline creation, and spend effectiveness.
• Assess business impact and distinguish between genuine performance issues, growth opportunities, and measurement discrepancies.
• Lead diagnostic and root-cause investigations to identify the primary factors influencing performance outcomes.

Optimization & Executive Decision Support

• Translate analytical findings into prioritized recommendations that drive measurable business impact.
• Identify opportunities to optimize campaign investments, resource allocation, channel strategies, and marketing execution.
• Proactively surface risks that may impact target achievement and highlight emerging opportunities for growth.
• Provide executive-ready performance insights, risk assessments, and strategic recommendations to support leadership decision-making.

Preferred Qualifications

• 8–12 years of experience in Marketing Analytics, Business Intelligence, Revenue Analytics, Campaign Performance, or related analytical functions.
• Strong expertise in data analysis, performance measurement, forecasting, and statistical modeling.
• Experience leveraging AI, machine learning, and automation technologies within analytics environments.
• Proficiency with BI and visualization tools such as Power BI, Tableau, Looker, or similar platforms.
• Advanced SQL and data manipulation skills; experience with Python or other analytical programming tools is highly desirable.
• Strong business acumen with the ability to translate data into strategic recommendations.
• Excellent stakeholder management, communication, and executive presentation skills.
• Experience supporting B2B marketing, demand generation, funnel analytics, and revenue performance initiatives is preferred.

We are an equal opportunity employer committed to fair and ethical hiring practices. We do not charge any fees or accept any payment from candidates at any stage of the recruitment process.