Senior Marketing Analytics & Data Science Leader

1000 Kyndryl, Inc.; United States; On-site; USD 144,000 - 273,000; Full time

Benefits offered by this job

Discretionary annual bonus program

Comprehensive benefits package

Job summary

1000 Kyndryl, Inc. seeks a Marketing Analytics & Data Science Lead to advance marketing measurement, audience intelligence, and predictive analytics capabilities. This senior IC role shapes strategy, guiding investments and revenue growth through data-driven insights.

You will partner with marketing, digital, operations, and data engineering teams to improve marketing effectiveness and ROI using advanced analytics, attribution methodologies, and lifecycle analysis.

Qualifications

• Bachelor’s degree in a data-related field.
• 5+ years in marketing analytics or data science.
• Strong SQL across large datasets.
• Proficiency in Python or R for analytics and visualization.
• Experience with predictive models, scoring, segmentation.
• Understanding attribution, funnel measurement, and marketing performance.

Responsibilities

• Lead marketing measurement frameworks and attribution methodologies.
• Develop multi-touch attribution and channel contribution models.
• Identify measurement gaps and improve data collection and tagging.
• Design predictive models for marketing effectiveness and lifecycle analysis.
• Develop audience segmentation to support ABM and personalization.
• Present findings and strategic recommendations to senior marketing leaders.

Skills

Advanced SQL

Python/R

Marketing analytics

Data science

Statistical reasoning

Communication

Executive storytelling

AI/machine learning

Independent ownership

Education

Bachelor's degree

Master's degree (preferred)

Tools

Power BI

CRM

Marketing automation

Data warehouse

Job description

1000 Kyndryl, Inc. seeks a Marketing Analytics & Data Science Lead to advance marketing measurement, audience intelligence, and predictive analytics capabilities. This senior IC role shapes strategy, guiding investments and revenue growth through data-driven insights.

You will partner with marketing, digital, operations, and data engineering teams to improve marketing effectiveness and ROI using advanced analytics, attribution methodologies, and lifecycle analysis.