Senior Manager- AI and Analytics

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
Role- Individual Contributor

The Main 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.

What We Look For in a Candidate

• 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.