Marketing Analytics & Data Science Senor Lead

Posted 2 Days Ago
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2 Locations
In-Office or Remote
Senior level
Cloud • Information Technology • Consulting
The Role
Leads marketing measurement, attribution, predictive modeling, audience segmentation, and advanced analytics. Develops statistical and machine learning models, evaluates marketing and sales data, improves campaign and revenue measurement, and translates insights into strategic recommendations. Partners with marketing, sales, operations, digital, and data engineering teams while presenting findings to senior stakeholders and driving analytics innovation.
Summary Generated by Built In

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.

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.
 

Skills Required

  • 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 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 for business decisions
  • Strong understanding of attribution methodologies, funnel measurement, and marketing performance evaluation
  • Experience with CRM, marketing automation, data warehouse, and digital measurement platforms
  • Ability to independently scope, lead, and deliver complex analytical projects through implementation
  • Strong communication and data storytelling skills influencing senior stakeholders
  • Experience using AI and machine learning techniques to automate analyses or improve business outcomes
  • Master's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field
  • Strong proficiency with Power BI

Kyndryl Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Kyndryl and has not been reviewed or approved by Kyndryl.

  • Fair & Transparent Compensation Pay is considered good in some roles, with mentions of “good pay,” “great pay and benefits,” and an “acceptable salary range” paired with bonuses. Certain senior or consulting tracks are described as market-competitive.
  • Leave & Time Off Breadth Vacation, paid time off, holidays, and a dedicated volunteer day are highlighted as positives. Parental leave exists companywide alongside sick leave and disability coverage.
  • Wellbeing & Lifestyle Benefits Remote and hybrid flexibility is emphasized, including 100% remote roles and a formal flexible workplace policy. Well‑being resources such as the Be Well program and an EAP are available.

Kyndryl Insights

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The Company
HQ: New York, NY
46,070 Employees
Year Founded: 2021

What We Do

We have the world’s best talent that design, run, and manage the most advanced and reliable technology infrastructure each day. Together, we think holistically about the health of these vital technology ecosystems. We are a focused, independent company that builds on our foundation of excellence by creating systems in new ways. Bringing in the right partners, investing in our business, and working side-by-side with our customers to unlock potential. We're raising the bar. Our experience speaks for itself: We have 90,000 highly skilled employees around the world serving 75 of the Fortune 100. But our purpose is what drives us: Advancing the vital systems that power human progress. Because when a digital ecosystem is healthy, it can more readily adapt and support continuous growth and that opens up a world of possibility for everyone.

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