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

Are you ready to embark on an exhilarating journey as a Data & AI Consultant? Join Kyndryl and become a driving force behind the transformative power of data! We're seeking an exceptionally talented individual to accelerate the competitive performance of our customers worldwide, establishing us as their unrivaled business and technology consulting partner. 

As a Data & AI Consultant, your impact will be monumental. You will unleash the potential of data technology, collaborating with customers to envision and conceptualize strategic applications. By combining your deep understanding of business and technology, you will become a catalyst for success, delivering invaluable insights and recommendations that propel our customers' organizations forward.

There is a higher focus on Microsoft Azure Data & AI Solutions for this role
Prepare to immerse yourself in the world of AI & data strategies and programs, crafting ingenious approaches to collecting, storing, analyzing, and visualizing data from diverse sources. Your technical expertise in a vast array of cutting-edge big data tools will empower you to develop groundbreaking solutions tailored to meet the unique requirements of each customer.

But that's not all – your role as a Data & AI Consultant at Kyndryl will transcend traditional boundaries. You will lead captivating workshops and engaging consulting engagements, helping customers forge data-driven strategies that reshape their future. Educating our customers about the latest Data & AI technologies and frameworks will be second nature to you, enabling them to unlock the full potential of their data resources.

Key Responsibilities:

Help build a thriving practice that's constantly looking for ways to solve client’s challenges by using data solutions which have overarching Industry constructEngage with internal & external customers to position, pitch, defend and build trust in the data solutions & services we have to offerDemonstrate Industry specific thought leadership & expertiseInfuse Industry specific/aligned content in generic sales & solution pitches, responses, and general marketing contentParticipate in early opportunity identification, provide pre-sales & solution supportCraft both high-level and detailed design documents and assist in implementation of innovative solutions using the most relevant technologies & using content aligned to respective client industry/use casesHelp translate business requirements into technology requirements for inclusion in contracts and/or statements of work.Build consulting assets, collaterals, and methods which have differentiated focus on specific industries & use-casesBuild GTM content and collaterals having differentiated focus on specific industries & use-casesDevelop usecase(s) storylines and high-level reference architecture(s) specific to industry use-cases and generic patterns aligned to specific industriesExecute consulting engagement for Advisory services on Data Ecosystem Modernization using industry focussed assessments, assets, and methodologiesDevelop thought leadership content, assets, patterns, methods, architecture & PoV’s for data management solutions using Cloud Native technologies for various industries & use-casesTake a leadership role on projects demonstrating experience handling projects through the entire project lifecycle. This includes running multi-phase/multi-dimensional/multi-resource projects to conclusion while maintaining high customer satisfactionContinually learn and grow professionallyMentor other consultants to share your knowledge and experience

Who You Are

You’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 Experience:

Total of around 10+ years of experience of delivering Data & 5+ years of delivering AI Solutions/Applications for clients in above listed industry segmentsTotal of 2+ years of experience with Generative AI usecases and technologiesThis position has higher focus on Microsoft Azure Data & AI solutions. Atleast 5+ years of exp with Microsoft Data & AI solutionsDeep functional & process knowledge within atleast 4 of the following functional domains within atleast 2 of the above listed industry segments:Total of around 12+ years of experience within atleast 2 industry segments from below:BankingFinancial ServicesInsurance – Life; Non-Life; Re-insurance onlyBFSI multi-industry expertiseNeo Finance – Fintech; Regtech; Banking 2.0; InsurTech etc (4-5 yrs exp)Healthcare – Payer; Provider; ManufacturerRetail – Traditional & Modern; Offline/onlineCPG – Traditional & ModernManufacturing – Capital, Auto, Process, ContractConsumer/FMCG – Business SideAirlines – Business & OperationalHospitality – Business & OperationalEducation & Learning – Digital ModelsCustomer Management & GrowthSales & DistributionMarketing ManagementSupply Chain, Inventory & ProcurementHuman ResourcesCore & Branch OperationsManufacturing OperationsAfter Market OperationsDigital OperationsBroad level knowledge in the following Data Management areas is desirable:Deep understanding of industry/functional data structure / data models to design, develop, and delivery various Data based use cases. Designing and building database solutions (industry oriented models, schemas/views/tables / stored procedures / forms / queries / etc.)Neo data solutions – broad understanding & knowledge on designing and building industry focused data solutions using newer technologies such as Snowflake, Databricks, Cloudera, Data ISV’s like Privacera, Alation etcDeep understanding & knowledge on Big Data ecosystem implementation in various industries – common challenges, solutions, patterns, technologies & operational models Good knowledge of various Data & Analytics technologies like DWH’s; Datalake Solutions; ETL solutions; Governance & Information Management; Compliance & Privacy solutionsVery strong PoV & knowledge of various Data Governance, Security, Audit, Compliance & Privacy regulations, policies & standards for atleast 2 of the above listed industriesUnderstanding of various industry domain & functional usecases driven by data & having a strong PoV around data foundation layer/ecosystem needed to power the sameCloud native Data Ecosystem - deep understanding & knowledge on designing and building industry/functional data solutions using cloud PaaS & Cloud Native technologiesBroad understanding & experience of delivery in at least 3 of the below mentioned Data Management dimensions in an industry context:Enterprise Data Strategy, vision & missionData Discovery & SearchExtraction, Transform, LoadData Migration (legacy to modern; on-premises to cloud)Persistence & StorageMetadata managementMaster Data ManagementData Quality EngineeringData Access control & Security ModelPrivacy, ILM & LineageData Backup & ResiliencyData OperationsBroad understanding & experience of delivery in at least 3 of the below mentioned Data Management dimensions in an industry context:Enterprise Data Strategy, vision & missionAI usecase discoveryGenAI usecase discoveryAI algorithms and methodsTechnology stack for AI & MLOpsProductionzation of AI modelsGenAI technology stack and LLMOpsThought leader in the use of AI algorithms to solve business problems

Preferred Technical and Professional Experience:

Self-starter who can think outside of the box, and come up with a solution to resolve and mitigate complex problemsExperience in developing maturity models, TCO & ROI models, AS-IS : TO-BE blueprints, technology analysis, Roadmap design, Implementation plan in context of specific industry/functional segmentAbility to communicate with a variety of different audiences and strong presentation skillsAbility to lead and motivate technical communitiesAbility to effectively recognize and adapt to changeAbility to quickly grasp customers' business challenges and drive positive change

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.