Marketing Analytics & Data Science Senior Lead
Irving, TX, USA
- Pay
Multiple pay statements — pay source
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:
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
California (San Francisco Bay Area):$172,440 to $327,600 California (All Other): $158,040 to $300,360 Colorado: $143,640 to $273,000
Read the full posting- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
From the employer’s posting
What you’ll work on
Full postingDevelop multi-touch attribution and channel contribution models for budget decisions
Design predictive models such as propensity, lead scoring, and engagement models
Build audience segmentation frameworks for account-based and digital programs
Identify measurement gaps in data collection, campaign tagging, and integrations
Present findings and strategic recommendations to senior marketing leaders
From the employer’s posting
Develop and evaluate multi-touch attribution approaches, influence measurement strategies, and channel contribution models that guide investment decisions and budget optimization
Design and develop predictive models that improve marketing effectiveness, including response scoring, buyer propensity models, lead prioritization, audience engagement models, and lifecycle analysis
Develop audience segmentation frameworks that support account-based marketing, customer expansion strategies, digital engagement programs, and campaign personalization
Identify measurement gaps and recommend improvements in data collection, metadata strategies, campaign tagging, and platform integrations
Present analytical findings and strategic recommendations to senior marketing leaders and stakeholders
What you’ll bring
All qualificationsCore experience
- Bachelor's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field.
- Strong proficiency with Power BI
- 5+ years of experience in marketing analytics, data science, revenue operations, business analytics, or related analytical disciplines.
- 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.
Qualification wording
Bachelor's degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field.
Strong proficiency with Power BI
5+ years of experience in marketing analytics, data science, revenue operations, business analytics, or related analytical disciplines.
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.
Education & alternatives
Prefered Qualifications - Masters degree in Data Science, Analytics, Statistics, Economics, Mathematics, Computer Science, Business, or a related field. - Strong proficiency with Power BI
Tools in this posting
- Python
- R
- SQL
- Power BI
Source — Tool mentions in context
- 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.
- 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.
- 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.
About Kyndryl Holdings
At Kyndryl, we design, build, manage and modernize the mission-critical technology systems that the world depends on every day.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 4, 2026 · 48 days ago
- Recorded sightings
- 122
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
Complete your application on kyndryl.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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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
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
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:
More source context
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
More relevant text appears in the full description.
- Location & working pattern
Irving, TX, USA
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
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