Associate – Data & AI Practice
Level: Associate
Experience: 3 – 6 Years
Tool Stack: SQL · RDBMS knowledge · Tableau ·
Work Mode: Hands-On | Independent
ROLE OVERVIEW
We are looking for a driven Associate with strong hands-on experience in SQL, RDBMS knowledge and Tableau, Good to have any exposure on the practical implementation of AI technologies (any Process improvement / Automation implementations). The candidate must be self-sufficient and capable of engaging directly with business stakeholders with minimal supervision.
KEY RESPONSIBILITIES
● Write advanced SQL queries, data pipeline architecture, RDBMS concepts.
● Build and maintain Tableau dashboards and reports for business stakeholders
● Develop and optimize data models within Snowflake — tables, views, streams, tasks
● Identify data quality issues, edge cases, and process gaps; document and escalate proactively
● Engage independently with stakeholders to gather requirements, present findings, and drive outcomes
● Contribute to AI solutions and Automations using related frameworks.
REQUIRED SKILLS
● SQL – Advanced; complex queries, performance tuning (mandatory), data modelling.
● Tableau – Hands-on dashboard development, calculated fields, data blending (mandatory)
● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
● Ability to work independently with cross-functional stakeholders
NON-NEGOTIABLE
● Hands-on technical experience is mandatory — conceptual or tool-consumption-only profiles will not be considered
Senior Associate – Data & AI Practice
Level: Senior Associate
Experience: 6 – 9 Years
Tool Stack: SQL · RDBMS knowledge · Tableau · ETL/ Data Pipeline architecture
Work Mode: Hands-On | Stakeholder-Facing
ROLE OVERVIEW
We are looking for a driven Associate with strong hands-on experience in SQL, RDBMS knowledge and Tableau, Good to have any exposure on the practical implementation of AI technologies (any Process improvement / Automation implementations). The candidate must be self-sufficient and capable of engaging directly with business stakeholders with minimal supervision.
KEY RESPONSIBILITIES
● Own end-to-end BI and analytics solutions from requirements through delivery
● Lead Tableau development including complex calculated fields, blended data sources, and performance-tuned dashboards
● Identify data quality issues, edge cases, and process gaps; document and escalate proactively
● Engage independently with stakeholders to gather requirements, present findings, and drive outcomes
● Architect and optimize Snowflake data models, pipelines, and cost-efficient query patterns
● Act as the primary technical interface with business and client stakeholders
● Mentor Associates and contribute to internal knowledge-sharing and best practices
● Contribute to AI solutions and Automations using related frameworks.
REQUIRED SKILLS
● SQL – Expert level; complex queries, query optimization, performance tuning, stored procedures, data modelling.
● Tableau – Advanced; enterprise-grade dashboards, Tableau Server/Cloud
● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
● Strong stakeholder management and communication skills
Good to have:
● Any Prior knowledge in Forecasting Model building or model maintenance
● Had prior expertise in AI solutions and Automations using Python or any AI related frameworks.
NON-NEGOTIABLE
● Must be fully hands-on — no exceptions at this level
● Must demonstrate independent stakeholder engagement capability
Manager – Data & AI Practice
Level: Manager
Experience: 9.5 – 13 Years
Tool Stack: SQL · Tableau · ETL/ Data Pipeline architecture · AI
Work Mode: 70% Hands-On | 30% Team Leadership
ROLE OVERVIEW
We are looking for a manager who combines strong technical hands-on capability with the ability to lead small, high-performing teams. The ideal candidate brings depth in SQL, Tableau, ETL/ Data Pipeline architecture, proven AI hands-on /SME experience, and the communication gravitas to drive alignment with senior stakeholders and clients.
KEY RESPONSIBILITIES
● Lead the design and delivery of end-to-end data and AI solutions across client engagements
● Manage a small team of Associates and Senior Associates — assign work, review deliverables, enable growth
● Remain hands-on across SQL, Tableau, Python, and Gen AI — actively contribute to solution development (70% technical)
● Drive Gen AI and Agentic AI initiatives including LangChain architectures, RAG frameworks, and LLM-integrated workflows
● Own client communication, stakeholder alignment, and executive-level reporting
● Identify process gaps, define SOPs, and ensure delivery quality and consistency
● Stay current on technology advancements and translate emerging trends into practical recommendations
REQUIRED SKILLS
● SQL – Expert level: complex queries, data modelling, ETL/ Data Pipeline architecture, performance tuning (mandatory)
● Tableau – Advanced; ability to guide team and review enterprise-grade builds (mandatory)
● Data Pipeline Architecture & Version Control: Design, implement, and maintain scalable data pipeline architectures using best practices for version control via GitHub or any equivalent tools.
● Team management – Experience leading small teams (2–6 members)
● Communication – Ability to articulate complex technical concepts to non-technical stakeholders
● Learnability – Demonstrated ability to adopt and apply emerging technologies
● AI – Hands-on delivery and team guidance in:
● Expertise in AI solutions and Automations using Python or any AI related frameworks.
● LLM integration and prompt engineering
Good to have:
● Any Prior knowledge in Forecasting Model building or model maintenance
NON-NEGOTIABLE
● Minimum 70% hands-on contribution expected — management-only profiles will not be considered
● Must have built AI solutions independently, not just supervised others doing so
● Strong communication and articulation skills are essential for client-facing interactions
À savoir avant de postuler
- Autorisation de travail: Cognizant ne prendra en considération que les candidats à ce poste qui sont légalement autorisés à travailler au Canada sans avoir besoin d'un parrainage de l'employeur, aujourd'hui ou à l'avenir.
- Mesures d’adaptation: Si vous avez un handicap qui nécessite des mesures d’adaptation raisonnable pour effectuer une recherche d’emploi ou poser une candidature, veuillez envoyer un courriel à [email protected] avec votre demande et vos coordonnées.
- L’IA dans notre processus de recrutement: Nous utilisons des outils d'intelligence artificielle (IA) pour trier et évaluer les candidatures efficacement. Notre équipe examine ensuite les candidatures et décide qui passe à l’étape suivante.
- Poste à pourvoir: Sauf indication contraire, ce poste est actuellement vacant et nous cherchons à le pourvoir.
- Exigences linguistiques: Nous demandons à tous les candidats de posséder une connaissance de base de l’anglais afin de faciliter les communications internes. Pour les postes au Québec, la capacité à communiquer efficacement en anglais est requise car vous fournirez des services à et collaborerez avec des parties prenantes anglophones situées hors de la province.
- Inclusion: Cognizant est un employeur souscrivant au principe de l’égalité d’accès à l’emploi. Votre candidature et votre dossier ne seront pas examinés en fonction de la race, de la couleur, du sexe, de la religion, des croyances, de l'orientation sexuelle, de l'identité de genre, de l'origine nationale, du handicap, des renseignements génétiques, de la grossesse, du statut d'ancien combattant ou de toute autre caractéristique protégée par les lois fédérales, provinciales ou locales.
À propos de Cognizant
Cognizant (NASDAQ: CTSH) est un AI Builder et une entreprise de services numériques (ESN) élaborant des solutions complètes d’IA maximisant les investissements pour des résultats concrets. Sa profonde expertise des métiers, des processus et des technologies lui permet d’intégrer dans les systèmes technologiques le contexte unique de chaque organisation de l’ingénierie à la production à l’échelle. Son objectif: améliorer l’efficacité des équipes, créer de la valeur et permettre aux grandes entreprises de rester performantes dans un monde qui évolue rapidement. Pour en savoir plus: cognizant.ai ou @cognizant.
