Marketing Analytics & Data Science Senior Lead

Kyndryl; New Jersey; On-site; USD 120,000 - 180,000; Full time

Job summary

Kyndryl is seeking a Marketing Analytics & Data Science Lead to advance marketing measurement, audience insights, and predictive analytics. This senior contributor fuels revenue growth by translating data into actionable marketing strategies and optimizing investments across channels.

The role partners with marketing, digital, operations, and data engineering to deliver models, segmentation, and analytics strategies that drive measurable outcomes.

Qualifications

• 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.

Responsibilities

• Lead evolution of marketing measurement frameworks and attribution methodologies that quantify marketing's contribution to pipeline, revenue, and business growth.
• Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models that guide investment decisions and budget optimization.
• Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations to improve reporting accuracy and analytical rigor.
• Design and develop predictive models that improve marketing effectiveness, including response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis.

Skills

Advanced SQL

Python

R

Data storytelling

Stakeholder influence

Cross-functional collaboration

AI/ML awareness

Education

Bachelor's degree in Data Science or related field

Tools

SQL

Power BI

CRM systems

Job description

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 Marketing Analytics & Data Science Lead is a senior individual contributor responsible for advancing Kyndryl’s marketing measurement, audience intelligence, and predictive analytics capabilities. This role serves as the analytical engine behind marketing strategy, helping the organization better understand buyer behavior, optimize investment decisions, and improve marketing's contribution to revenue growth.

This role combines deep analytical expertise with business acumen to solve complex marketing challenges through advanced analytics, attribution methodologies, predictive modeling, and audience insights. The successful candidate will be responsible for developing actionable recommendations that influence strategic marketing decisions across channels, audiences, and the customer lifecycle.

Working closely with marketing leaders, campaign teams, digital teams, operations, sales, and data engineering, this role will identify opportunities to improve marketing effectiveness through data-driven decision making, and advanced analytical techniques.

Key Responsibilities

Marketing Measurement & Attribution

Lead the evolution of marketing measurement frameworks and attribution methodologies that quantify marketing's contribution to pipeline, revenue, and business growth.

Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models that guide investment decisions and budget optimization.

Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations to improve reporting accuracy and analytical rigor.

Advanced Analytics & Predictive Modeling

Design and develop predictive models that improve marketing effectiveness, 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 identify patterns, trends, and opportunities hidden within large marketing and sales datasets.

Translate analytical findings into practical recommendations that improve conversion rates, pipeline generation, audience engagement, and marketing ROI.

Audience Insights & Segmentation

Develop audience segmentation frameworks that support account-based marketing, customer expansion strategies, digital engagement programs, and campaign personalization.

Analyze customer, account, behavioral, technographic, and engagement data to identify growth opportunities and uncover actionable audience insights.

Analytics Strategy & Thought Leadership

Serve as a subject matter expert on advanced analytics, marketing measurement, and data science methodologies within the marketing organization.

Drive innovation by evaluating emerging analytical techniques, AI capabilities, and measurement approaches that improve marketing effectiveness and operational efficiency.

Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders, translating complex methodologies into clear business actions.

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

• Advanced analytical problem solving


• Statistical reasoning and experimentation design


• Predictive modeling and machine learning


• Marketing measurement and attribution expertise


• Strategic thinking and business acumen


• Executive communication and storytelling


• Intellectual curiosity and innovation


• Independent ownership and accountability


• Cross-functional influence without formal authority


• Passion for translating data into measurable business impact

Required Qualifications

• 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.

Prefered Qualifications

• Masters degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field.


• Strong proficiency with Power BI

Being You

Diversity is a whole lot more than what we look like or where we come from, it’s how we think and who we are. We welcome people of all cultures, backgrounds, and experiences. But we’re not doing it single-handily: Our Kyndryl Inclusion Networks are only one of many ways we create a workplace where all Kyndryls can find and provide support and advice. This dedication to welcoming everyone into our company means that Kyndryl gives you – and everyone next to you – the ability to bring your whole self to work, individually and collectively, and support the activation of our equitable culture. That’s the Kyndryl Way.

What You Can Expect

With state-of-the-art resources and Fortune 100 clients, every day is an opportunity to innovate, build new capabilities, new relationships, new processes, and new value. Kyndryl cares about your well-being and prides itself on offering benefits that give you choice, reflect the diversity of our employees and support you and your family through the moments that matter – wherever you are in your life journey. Our employee learning programs give you access to the best learning in the industry to receive certifications, including Microsoft, Google, Amazon, Skillsoft, and many more. Through our company-wide volunteering and giving platform, you can donate, start fundraisers, volunteer, and search over 2 million non-profit organizations. At Kyndryl, we invest heavily in you, we want you to succeed so that together, we will all succeed.