Senior Marketing Analytics Lead

Posted 17hrs ago

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Job Description

Senior marketing analytics lead improving Kyndryl’s enterprise marketing funnels, channels, and lead management. Using SQL, BI, and responsible AI to drive measurable revenue operations improvements.

Responsibilities:

  • Analyze the end-to-end journey from marketing response through lead qualification, sales handoff, pipeline, and revenue
  • Evaluate response quality, lead progression, disposition, aging, and conversion across campaigns, channels, markets, and audiences
  • Identify lost, delayed, misrouted, duplicated, or inconsistently managed responses and leads and recommend improvements
  • Partner with collaborators and stakeholders to improve lead management processes, measurement, and visibility
  • Develop response and lead management reporting, KPIs, business definitions, and analytical frameworks
  • Analyze web, paid media, email, organic search, events, and other marketing channel performance
  • Analyze customer journeys and cross-channel engagement
  • Identify opportunities to improve channel effectiveness, targeting, content, audience strategy, and marketing investment
  • Define measurement approaches with channel owners and translate findings into optimization recommendations
  • Lead analytical projects involving lead routing, lead prioritization, response handling, funnel progression, campaign targeting, and sales handoff
  • Use SQL, BI tools, and AI to diagnose process performance, identify root causes, quantify opportunities, and evaluate solutions
  • Design and evaluate data-driven business rules, automation, and AI-assisted workflows
  • Establish baseline measures and success criteria and assess results after implementation
  • Apply enterprise data, security, privacy, governance, and validation standards to AI and automation
  • Partner with Marketing Operations, data, technology, and business stakeholders to move recommendations into implementation

Requirements:

  • Must be legally authorized to work in the United States without requiring current or future sponsorship
  • Bachelor's degree in Analytics, Statistics, Economics, Mathematics, Computer Science, Business, Marketing, or a related field
  • 5+ years of experience in marketing analytics, revenue operations, digital analytics, business analytics, or a related analytical discipline
  • Strong SQL skills for exploring, joining, validating, and analyzing large and complex datasets
  • Strong proficiency with Power BI or a comparable business intelligence platform
  • Experience analyzing response and lead management, digital performance, marketing channels, funnel progression, or conversion
  • Experience with CRM and marketing automation platforms such as Salesforce and Marketo
  • Experience with Adobe Analytics or Google Analytics
  • Ability to trace data and business processes across enterprise systems and validate business rules
  • Experience using enterprise-approved AI tools for data discovery, SQL development, validation, analysis, documentation, and insight generation
  • Understanding of responsible AI use, including privacy, security, governance, access controls, human oversight, explainability, and limitations
  • Ability to identify AI and automation opportunities and translate them into scalable solutions
  • Ability to scope, lead, and deliver complex analytical and optimization projects
  • Strong communication and data storytelling skills
  • Preferred: experience supporting B2B marketing, account-based marketing, or complex enterprise sales environments
  • Preferred: experience leading optimization projects involving lead routing, scoring, response handling, targeting, or sales handoff
  • Preferred: experience implementing or evaluating AI-assisted analytics, intelligent automation, natural-language data access, or decision-support use cases
  • Preferred: experience with Python, R, experimentation, statistical analysis, or other advanced analytical methods

Benefits:

  • Discretionary annual bonus program based on performance
  • Medical and dental coverage
  • Disability benefits
  • Retirement benefits
  • Paid leave
  • Paid time off
  • Employee learning programs and access to industry certifications
  • Company-wide volunteering and giving platform
  • Potential sales commission plan for sales commission-eligible roles