Marketing Analytics & Data Science Senior Lead

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

The compensation range for the position in the U.S. is - $143,640 to $273,000 based on a full-time schedule. Your actual compensation may vary depending on your geography, job-related skills and experience. For part time roles, the compensation will be adjusted appropriately. The pay or salary range will not be below any applicable state, city or local minimum wage requirement.

There is a different applicable compensation range for the following work locations:

California (San Francisco Bay Area):$172,440 to $327,600

California (All Other): $158,040 to $300,360

Colorado: $143,640 to $273,000

Massachusetts/ Virginia: $143,640 to $300,360

New York City: $172,440 to $327,600

Washington: $158,040 to $300,360

Washington DC: $158,040 to $300,360

This position will be eligible for Kyndryl’s discretionary annual bonus program, based on performance and subject to the terms of Kyndryl’s applicable plans. You may also receive a comprehensive benefits package which includes medical and dental coverage, disability, retirement benefits, paid leave, and paid time off. Note: If this is a sales commission eligible role, you will be eligible to participate in a sales commission plan in lieu of the annual discretionary bonus program.

Applications will be accepted on a rolling basis.

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.

Get Referred!
If you know someone that works at Kyndryl, when asked ‘How Did You Hear About Us’ during the application process, select ‘Employee Referral’ and enter your contact's Kyndryl email address.