Artificial Intelligence & Analytics - Service Line Sales Specialist - Director (AIA SLS)
Required Location: Seattle, WA or San Francisco Bay area
The AI & Analytics Lead – SL Sales Specialist role is an incredible opportunity to be at the forefront of the AI revolution and collaborate with some of the most successful global retail and consumer goods companies! The successful candidate will work with Cognizant's internal solution development teams and our client's team(s) on a variety of cutting-edge artificial intelligence, agentic AI, data modernization, analytics, and data science projects. The individual will evangelize, sell, and transform mission-critical projects for our clients, working closely with client CIO/CDO/CXO organizations, brand teams, product owners, solution architects, data scientists, and data engineers.
The ideal candidate must be an exceptional communicator and a dynamic leader who can engage with senior stakeholders while driving agile teams. They should be able to develop and guide proactive pursuits and RFP/RFI responses. The candidate should have practitioner-level experience in AI/ML, data science solutions, and familiarity with two or more of the following: Azure OpenAI / Machine Learning, AWS SageMaker, Bedrock, Google Vertex AI, Gemini, Big Query, TensorFlow, Databricks, Snowflake, etc.
Key Responsibilities
· Forge local Client relationships with executive decision makers across IT and business teams face to face.
· Be the trusted partner for our clients in the Retail, CPG, or Travel & Hospitality space
· Map client organization, build outstanding relationships with new business units, and build sales strategies for developing new business opportunities for AI and Data Analytics driven services
· Run end-to-end lead generation, sales, and RFI/RFP processes for specific solutions in a multi technology, multi skill and service line environments for the achievement of sales target.
· Counsel account leadership and delivery leadership by highlighting risks and issues related to the engagements
· Develop and implement Account (client) Growth strategy and business plans that coordinate with account teams to integrate with the account’s larger growth plan.
· Work in a matrix organization to achieve prospecting and other sales management goals
· Maintain sales pipeline and forecast hygiene to enable system-oriented key performance metrics and measurement
Required Qualifications:
· Consultative Solutions selling experience, finding technical solutions to solve business problems in Artificial Intelligence (AI) and Agentic AI, Data management, and Analytics across multiple clients in Retail, Travel, Consumer Goods, Travel & Hospitality
· Strong experience selling Data solutions with Hyperscaler’s Azure, AWS, and GCP platforms with understanding of Cloud Data warehouse concepts like Cloud modernization, Enterprise data governance analytics and reporting.
· Ability to navigate multi-agents: Azure OpenAI, CoPilot, Google Gemini, AWS Bedrock, SageMaker, or Anthropic cloud solutions.
· Sound knowledge on Snowflake, Databricks, Informatica and other leading Data Products.
· Minimum 5-7 years hands on in advanced Presales AI, Data & Analytics Solutions and Services
· 10+years’ overall work experience required.
· P&L management experience
· Excellent ability and aptitude to influence and communicate effectively with business stakeholders up to C-Suite executives.
· Experience with largescale consulting and program execution engagements in the AI and data analytics space.
· Ability to appreciate and work on 360-degree aspects around an AI and Data insights life cycle across the business value chain.
· Strong technical skills with the ability to find technical solutions to business problems and engage the potential customer with “consultative selling” is essential.
· Excellent oral and written communication skills, and executive presentation and persuasion skills are required.
· MS or MBA degree preferred
Applications will be accepted until March 31, 2026.
The annual base salary for this position is between $175,000 - $190,000 depending on experience and other qualifications of the successful candidate.
This position is also eligible for Cognizant’s discretionary annual incentive program, based on performance and subject to the terms of Cognizant’s applicable plans.
This position is also eligible for Cognizant’s discretionary annual incentive program and stock awards, based on performance and subject to the terms of Cognizant’s applicable plans.
Benefits: Cognizant offers the following benefits for this position, subject to applicable eligibility requirements:
· Medical/Dental/Vision/Life Insurance
· Paid holidays plus Paid Time Off
· 401(k) plan and contributions
· Long-term/Short-term Disability
· Paid Parental Leave
· Employee Stock Purchase Plan
Disclaimer: The salary, other compensation, and benefits information is accurate as of the date of this posting. Cognizant reserves the right to modify this information at any time, subject to applicable law.
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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.
Renseignments suppplémentaires sur l'emploi
Les informations sur la rémunération sont exactes à la date de publication. Cognizant se réserve le droit de modifier ces informations à tout moment, conformément aux lois applicables.
Les exigences linguistiques varient selon les postes, mais nous demandons à tous les candidats d’avoir une connaissance de base de l’anglais afin de faciliter les communications internes à l’échelle de l’entreprise. Pour les postes basés au Québec, une maîtrise de l’anglais est requise puisque vous fournirez des services et collaborerez avec des parties prenantes situées hors de la province, qui ne parlent pas nécessairement le français.
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