Senior Lead, Marketing Analytics, Data Science

Kyndryl

Marketing analytics lead advancing Kyndryl’s technology-services marketing measurement, attribution, and predictive modeling. Translating complex data into strategic recommendations that improve revenue growth and marketing ROI.

Posted 9/4/2026full-timeRemote • New Jersey, Texas • 🇺🇸 United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in marketing analytics, predictive modeling, and advanced statistical techniques to drive data-informed decision-making and optimize marketing performance. Proficient in leveraging AI and machine learning methodologies to enhance analytical capabilities and improve business outcomes.

Highest-signal resume keywords

Advanced SQL SkillsPredictive Modeling DevelopmentAttribution Methodologies ExpertiseStrong Proficiency with PythonData Storytelling Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Predictive ModelingStatistical AnalysisData AnalysisSegmentation FrameworksMachine LearningAttribution MethodologiesFunnel MeasurementData Collection ImprovementCampaign TaggingAudience Engagement Models

Soft Skills

Strong Communication SkillsInfluencing Senior Stakeholders

Tools & Technologies

Power BICRM PlatformsMarketing Automation ToolsData Warehouse SystemsDigital Measurement Platforms

Industry Keywords

Marketing AnalyticsRevenue OperationsBusiness AnalyticsData ScienceMarketing Performance Evaluation

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Lead the evolution of marketing measurement frameworks and attribution methodologies quantifying marketing's contribution to pipeline, revenue, and business growth
Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models to guide investment decisions and budget optimization
Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations
Design and develop predictive models including response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis
Apply statistical techniques, machine learning methodologies, and AI-enabled approaches to marketing and sales datasets
Translate analytical findings into recommendations improving conversion rates, pipeline generation, audience engagement, and marketing ROI
Develop audience segmentation frameworks supporting account-based marketing, customer expansion, digital engagement, and campaign personalization
Analyze customer, account, behavioral, technographic, and engagement data to identify growth opportunities
Serve as a subject matter expert on advanced analytics, marketing measurement, and data science within marketing
Evaluate emerging analytical techniques, AI capabilities, and measurement approaches
Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders
Collaborate with marketing leaders, campaign teams, digital teams, operations, sales, and data engineering

Requirements

What you’ll need

Bachelor's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field
5+ years of experience in marketing analytics, data science, revenue operations, business analytics, or related analytical disciplines
Advanced SQL skills with experience working across large and complex datasets
Strong proficiency with Python, R, or comparable analytical and visualization platforms
Experience developing predictive models, scoring methodologies, segmentation frameworks, or statistical analyses used in business decision making
Strong understanding of attribution methodologies, funnel measurement, and marketing performance evaluation
Experience working with CRM, marketing automation, data warehouse, and digital measurement platforms
Ability to independently scope, lead, and deliver complex analytical projects from problem definition through implementation
Strong communication and data storytelling skills with the ability to influence senior stakeholders
Experience leveraging AI and machine learning techniques to automate analyses, accelerate insight generation, or improve business outcomes
Master's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field preferred
Strong proficiency with Power BI preferred

Benefits

Comp & perks

Employee learning programs with access to industry learning and certifications, including Microsoft, Google, Amazon, Skillsoft, and many more
Company-wide volunteering and giving platform
Ability to donate, start fundraisers, volunteer, and search over 2 million non-profit organizations
Employee benefits designed to provide choice and support employees and their families
Medical or religious accommodation for eligible employees regarding vaccination requirements