Senior Marketing Analytics Lead

Who We Are At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day. So why work at Kyndryl? We are always moving forward – always pushing ourselves to go further in our efforts to build a more equitable, inclusive world for our employees, our customers and our communities. The Role 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. Your Future at Kyndryl At Kyndryl, we invest deeply in continuous learning, professional development, and technical growth. Joining our Global Marketing Performance & Analytics organization gives you direct exposure to modern enterprise data architectures, advanced business intelligence platforms, and cutting-edge responsible AI workflows. You will collaborate closely with cross-functional growth leaders, sales operations, and data engineering teams, driving tangible business transformation while expanding your impact across our global enterprise ecosystem. Kyndryl currently does not require employees to be fully vaccinated against COVID-19, however, if you are hired to work at a client, customer, or partner location, you may be required to show proof of vaccination to align with their respective COVID-19 vaccination policies. Those who believe they are eligible may apply for a medical or religious accommodation prior to the start of employment. Who You Are Key Competencies • 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 Required Qualifications • 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, Marketi