[Hiring] Senior Marketing Analytics Lead @Kyndryl

Role Description

The Senior Marketing Analytics Lead is an individual contributor responsible for using enterprise data to improve response and lead management, channel performance, and marketing operations. This role serves as a strategic analytics partner, helping teams understand how marketing activity translates into engagement, qualified demand, pipeline, and revenue, and where processes can be optimized.

This role combines strong analytical and technical skills with business acumen to solve complex operational and performance questions. The successful candidate will independently lead analytical work from problem definition through recommendation and implementation support, translating data into practical improvements across lead routing, response handling, funnel progression, digital experiences, and channel execution.

Working collaboratively across teams, this role will identify performance gaps, diagnose root causes, and turn data-backed recommendations into measurable business improvements. The role will also apply AI-enabled approaches thoughtfully to accelerate data work, uncover insights, improve processes, and scale analytical practices within a complex enterprise data environment.

Key Responsibilities

• Response & Lead Management Analytics
  • Analyze the end-to-end journey from marketing response through lead qualification, sales handoff, pipeline, and revenue to identify conversion opportunities and process gaps.
  • Evaluate response quality, lead progression, disposition, aging, and conversion across campaigns, channels, markets, and audiences.
  • Identify where responses or leads are being lost, delayed, misrouted, duplicated, or inconsistently managed, and recommend improvements.
  • Partner cross-departmentally with collaborators and stakeholders to improve lead management processes, measurement, and visibility.
  • Support the evolution of response and lead management reporting, KPIs, business definitions, and analytical frameworks, including appropriate uses of AI to detect patterns, prioritize investigation, and improve decision support.
• Digital & Channel Analytics
  • Analyze performance across web, paid media, email, organic search, events, and other marketing channels to understand engagement, conversion, and contribution to business outcomes.
  • Articulate customer journeys and cross-channel engagement to understand how marketing touchpoints work together to drive response, progression, and conversion.
  • Identify opportunities to improve channel effectiveness, targeting, content, audience strategy, and marketing investment.
  • Partner with channel owners to define measurement approaches and translate findings into practical optimization recommendations, using AI-assisted analysis where it can improve speed, depth, or scalability without compromising analytical rigor.
• Marketing Process & Optimization
  • Lead analytical projects focused on improving marketing processes and outcomes, including 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 potential solutions.
  • Design and evaluate data-driven business rules, automation, and AI-assisted workflows that improve routing accuracy, prioritization, operational efficiency, and user decision making.
  • Establish baseline measures and success criteria for optimization initiatives and assess results after implementation.
  • Apply enterprise data, security, privacy, governance, and validation standards when using AI or automation, ensuring outputs are explainable, traceable, and appropriate for business use.
  • Partner with Marketing Operations, data, technology, and business stakeholders to move analytical recommendations from insight into implementation.

Qualifications

• Applied analytical problem solving
• Lead management analytics
• Channel performance analytics
• Marketing measurement and funnel analysis
• Process diagnosis and optimization
• AI-enabled analysis and intelligent automation
• Strategic thinking and business acumen
• Ability to translate ambiguous business questions into structured analyses
• Data storytelling and senior stakeholder communication
• Independent ownership and accountability
• Intellectual curiosity and continuous improvement
• Passion for translating data into measurable business impact

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 with the ability to independently explore, join, validate, and analyze large and complex marketing, CRM, digital, and sales datasets.
• Strong proficiency with Power BI or a comparable business intelligence platform, including developing analytical views and translating complex data into clear insights and recommendations.
• Experience analyzing response and lead management, digital performance, marketing channels, funnel progression, or conversion, with the ability to connect findings to practical optimization actions.
• Experience working with CRM and marketing automation platforms such as Salesforce and Marketo, including response capture, campaign data, lead management, and funnel progression.
• Experience with digital analytics platforms such as Adobe Analytics or Google Analytics and with web behavior, traffic, engagement, conversion, and channel performance data.
• Ability to trace data and business processes across enterprise systems, validate business rules, troubleshoot inconsistencies, and improve areas such as lead routing, response handling, attribution, tagging, and funnel measurement.
• Experience using enterprise-approved AI tools to accelerate data discovery, SQL development, data validation, analysis, documentation, and insight generation while applying sound judgment and independently verifying outputs.
• Understanding of how to use AI responsibly in a large enterprise environment, including data privacy, security, governance, access controls, human oversight, explainability, and the limitations of AI-generated analyses.
• Ability to identify high-value AI and automation opportunities, distinguish appropriate use cases from higher-risk applications, and translate them into scalable analytical or operational solutions.
• Ability to independently scope, lead, and deliver complex analytical and optimization projects from problem definition through recommendation, implementation support, and outcome measurement.
• Strong communication and data storytelling skills, including the ability to influence senior stakeholders and cross-functional partners.

Benefits

• Comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off.
• Eligibility for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans.
• Access to employee learning programs for certifications, including Microsoft, Google, Amazon, Skillsoft, and many more.
• Company-wide volunteering and giving platform to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations.