Sr Marketing Analytics Manager

Lumen Technologies; Dadri, Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Lumen Technologies is seeking a marketing intelligence leader in India to fuse marketing, data science, and AI to monitor and optimize performance across campaigns and pipeline. You will develop predictive models, diagnose drivers, and translate insights into actionable actions that enhance campaigns, pipeline, and business outcomes.

The role combines analytics with strategic oversight, delivering proactive monitoring, anomaly detection, and executive-ready insights to drive faster,

Qualifications

• 8+ years of experience in marketing analytics, data science, performance intelligence, or advanced analytics.
• Hands-on data science experience designing, building, validating, and deploying predictive and proactive monitoring models.
• Deep understanding of B2B marketing and pipeline performance, including campaigns, funnel conversion, sales, revenue, attribution, and ROI.
• Advanced proficiency in Python and SQL, with experience using AI, automation, and modern analytics platforms.
• Strong business acumen, problem-solving, executive communication, and cross-functional partnership skills.

Responsibilities

• Analyze performance across campaigns, funnel conversion, pipeline creation and progression, sales, revenue, and ROI.
• Identify trends, performance gaps, risks, and opportunities across campaigns, channels, audiences, segments, and pipeline.
• Diagnose what is driving performance and where intervention is needed.
• Translate findings into actionable recommendations that improve marketing effectiveness and business outcomes.
• Lead the design and deployment of predictive, forecasting, pacing, and anomaly-detection models to proactively monitor marketing and pipeline performance.
• Build scalable early-warning capabilities that detect meaningful changes and emerging performance risks and opportunities.
• Use advanced analytics to understand what changed, why it changed, and what is likely to happen next.
• Partner closely with Marketing Operations, Product Marketing, Campaign Strategy, and Digital Experience to translate insights into action.
• Recommend opportunities to optimize campaign strategy, audiences, channels, investment, execution, and activation.
• Measure the impact of optimization actions and incorporate learnings into future analyses and models.
• Apply AI and automation to accelerate monitoring, forecasting, diagnostics, and insight generation.
• Automate recurring analytical processes and build scalable performance intelligence solutions.
• Partner with Marketing Operations and technology teams to operationalize models and analytics.
• Translate complex analytics into clear, decision-ready business insights and recommendations.
• Communicate what is happening, why it matters, and what action should be taken.
• Provide leadership with a proactive view of the marketing and pipeline risks and opportunities that require attention.

Job description

The Role

We are looking for a marketing intelligence leader who combines marketing and pipeline expertise with data science and AI to proactively monitor and optimize performance. This role will lead the development of predictive models that identify emerging risks and opportunities, diagnose performance drivers, and translate insights into actions that improve campaign, pipeline, and business outcomes.

Location- Bangalore/Noida

Role- Individual Contributor
Shift- 2.00pm-11.00pm IST

Key Responsibilities

Marketing & Pipeline Performance Intelligence

Analyze performance across campaigns, funnel conversion, pipeline creation and progression, sales, revenue, and ROI.

Identify trends, performance gaps, risks, and opportunities across campaigns, channels, audiences, segments, and pipeline.

Diagnose what is driving performance and where intervention is needed.

Translate findings into actionable recommendations that improve marketing effectiveness and business outcomes.

Data Science & Proactive Monitoring

Lead the design and deployment of predictive, forecasting, pacing, and anomaly-detection models to proactively monitor marketing and pipeline performance.

Build scalable early-warning capabilities that detect meaningful changes and emerging performance risks and opportunities.

Use advanced analytics to understand what changed, why it changed, and what is likely to happen next.

Campaign Optimization & Partnership

Partner closely with Marketing Operations, Product Marketing, Campaign Strategy, and Digital Experience to translate insights into action.

Recommend opportunities to optimize campaign strategy, audiences, channels, investment, execution, and activation.

Measure the impact of optimization actions and incorporate learnings into future analyses and models.

AI & Analytics Automation

Apply AI and automation to accelerate monitoring, forecasting, diagnostics, and insight generation.

Automate recurring analytical processes and build scalable performance intelligence solutions.

Partner with Marketing Operations and technology teams to operationalize models and analytics.

Executive Insights

Translate complex analytics into clear, decision-ready business insights and recommendations.

Communicate what is happening, why it matters, and what action should be taken.

Provide leadership with a proactive view of the marketing and pipeline risks and opportunities that require attention.

Qualifications

8+ years of experience in marketing analytics, data science, performance intelligence, or advanced analytics.

Hands-on data science experience designing, building, validating, and deploying predictive and proactive monitoring models, including forecasting and anomaly detection.

Deep understanding of B2B marketing and pipeline performance, including campaigns, funnel conversion, pipeline creation and progression, sales, revenue, attribution, and ROI.

Proven ability to diagnose performance drivers and translate model outputs and analytical insights into actionable marketing recommendations.

Advanced proficiency in Python and SQL, with experience using AI, automation, and modern analytics platforms.

Strong business acumen, problem-solving, executive communication, and cross-functional partnership skills.

Success in This Role

Marketing identifies performance risks and opportunities earlier.

Teams understand where performance is changing, why, and what action to take.

Predictive monitoring reduces reliance on retrospective reporting.

Marketing gains greater visibility into campaign effectiveness and pipeline creation, progression, and conversion.

AI and automation enable faster, more scalable performance intelligence.

Leadership receives clear recommendations connecting marketing activity to pipeline and business outcomes.