LEAD MARKETING ANALYTICS MANAGER - INDIA at Lumen Technologies in Bengaluru
- Company: Lumen Technologies
- Location: Bengaluru, India
- Job type: full time
- Workplace: onsite
- Posted: 2026-10-30
All open roles at Lumen Technologies
Job description
Lumen is the trusted network for the AI‑powered world, connecting people, data, and applications through our expansive fiber network and connected ecosystem. We enable secure, high‑performance connectivity across cloud, edge, and AI workloads for enterprises, governments, and communities. At Lumen, you’ll work on infrastructure customers rely on today and build for what’s next, where performance, security, and resilience matter. This is a high accountability environment where bold ideas drive real innovation for our customers, partners, and industry. The work is challenging, expectations are clear, and trust is built into how we operate. If you’re ready to take ownership, deliver meaningful impact, and help shape the future of AI‑ready connectivity, join us today. 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. Role- Individual Contributor Location- Bangalore/Noida Shift- 2.00pm- 11.00pm IST The Main 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. What We Look For in a Candidate 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, an
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