Senior Lead, Data Science, IT Platform Lead - Data Exploitation

Who We AreAt Kyndryl, we run and reimagine the mission-critical technology systems that drive advantage for the world's leading businesses. We are at the heart of progress; with proven expertise and a continuous flow of AI-powered insight, enabling smarter decisions, faster innovation, and a lasting competitive edge. For our people-Kyndryls-that means doing purposeful work that powers human progress. Join us and experience a flexible, supportive environment where your well-being is prioritized and your potential can thrive.

The RoleAs a Data Scientist at Kyndryl you are the bridge between business problems and innovative solutions, using a powerful blend of well-defined methodologies, statistics, mathematics, domain expertise, consulting, and software engineering. You'll wear many hats, and each day will present a new puzzle to solve, a new challenge to conquer.

You will dive deep into the heart of our business, understanding its objectives and requirements - viewing them through the lens of business acumen, and converting this knowledge into a data problem. You'll collect and explore data, seeking underlying patterns and initial insights that will guide the creation of hypotheses.

Key ResponsibilitiesAs a Software Engineering - Developer at Kyndryl, you will be at the forefront of designing, developing, and implementing cutting-edge software solutions. Your work will play a critical role in our business offering, your code will deliver value to our customers faster than ever before, and your attention to detail and commitment to quality will be critical in ensuring the success of our products.

Using design documentation and functional programming specifications, you will be responsible for implementing identified components. You will ensure that implemented components are appropriately documented, unit-tested, and ready for integration into the final product. You will have the opportunity to architect the solution, test the code, and deploy and build a CI/CD pipeline for it.

Own and define the data exploitation platform strategy, vision, and roadmap across the bank.

Lead platforms enabling analytics, BI, data science, AI/ML, and advanced reporting capabilities.

Ensure availability of trusted, high‑quality, and well‑governed data products for business, risk, and regulatory stakeholders.

Collaborate with Business teams, Data Analysts, Data Scientists, Risk, Finance, and Compliance to support data‑driven use cases.

Govern the end‑to‑end data exploitation architecture, from curated data layers to consumption tools.

Define, standardize, and enforce guidelines for data access, consumption, security, and performance.

Drive self‑service analytics adoption and promote data democratization across the organization.

Ensure platforms fully support regulatory, management, and operational reporting requirements.

Oversee vendor management, platform capacity planning, and platform cost optimization.

Ensure compliance with GDPR, data privacy, security, and other European regulatory expectations.

As a valued member of our team, you will provide work estimates for assigned development work, and guide features, functional objectives, or technologies being built for interested parties. Your contributions will have a significant impact on ourproducts' success, and you will be part of a team that is passionate about innovation, creativity, and excellence. Above all else, you will have the freedom to drive innovation and take ownership of your work while honing your problem-solving, collaboration, and automation skills. Together, we can make a difference in the world of cloud-based managed services.

In this role, you will embark on a transformative process of business understanding, data understanding, and data preparation. Utilizing statistical and mathematical modeling techniques, you'll have the opportunity to create models that defy convention - models that hold the key to solving intricate business challenges. With an acute eye for accuracy and generalization, you'll evaluate these models to ensure they not only solve business problems but do so optimally. Additionally, you're not just building and validating models - you're deploying them as code to applications and processes, ensuring that the model(s) you've selected sustains its business value throughout its lifecycle.

Your expertise doesn't stop at data; you'll become intimately familiar with our business processes and have the ability to navigate their complexities, identifying issues and crafting solutions that drive meaningful change in these domains. You will develop and apply standards and policies that protect our organization's most valuable asset - ensuring that data is secure, private, accurate, available, and, most importantly, usable. Your mastery extends to data management, migration, strategy, change management, and policy and regulation.

If you're ready to embrace the power of data to transform our business and embark on an epic data adventure, then join us at Kyndryl. Together, let's redefine what's possible and unleash your potential.

Your Future at KyndrylEvery position at Kyndryl offers a way forward to grow your career. We have opportunities that you won't find anywhere else, including hands-on experience, learning opportunities, and the chance to certify in all four major platforms. Whether you want to broaden your knowledge base or narrow your scope and specialize in a specific sector, you can find your opportunity here.

Who You AreYou're good at what you do and possess the required experience to prove it. However, equally as important - you have a growth mindset; keen to drive your own personal and professional development. You are customer-focused - someone who prioritizes customer success in their work. And finally, you're open and borderless - naturally inclusive in how you work with others.

Required Technical and Professional Experience12+ Years of Experience in leading enterprise‑grade analytics or data modernization programs.

Proven experience leading data exploitation, analytics, or BI platforms in complex enterprises.

Hands‑on experience with analytics, BI, AI/ML enablement, and reporting platforms.

Strong understanding of semantic layers, data marts, curated layers, and analytical data models.

Ability to design platforms supporting both batch and near real‑time analytics.

Experience enabling self‑service BI, governed access, and federated consumption.

Experience with major analytics & BI tools (Power BI, Tableau, Looker, etc.).Familiarity with data science / ML platforms used for advanced analytics.

Strong understanding of cloud‑based data & analytics ecosystems.

Experience integrating consumption layers with enterprise data platforms and data engineering pipelines.

Understanding of data governance, metadata, and data quality frameworks.

Experience implementing role‑based access, data masking, consent management, and data protection controls.

Knowledge of GDPR, European data privacy rules, and regulatory expectations for data use.

Understanding of audit, lineage, traceability, and evidencing requirements for data in banking.

Strong understanding of European banking data usage across key domains:

Payments & cards analyticsLending & credit analyticsFinance & performance management (MIS)Risk & regulatory reportingTreasury & investment analytics (high level)Understanding of data consumption patterns and decision‑making processes used within banking functions.

Preferred Technical and Professional ExperienceExperience leading enterprise‑grade analytics or data modernization programs.

Prior exposure to European regulatory reporting and governance environments.

Experience working with cross‑functional European teams in IT, data, and business domains.

Knowledge of cloud migration, platform scaling, and modernization strategies.

Experience working with vendors or managing platform licensing and cost models.

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