Total 6 Director/C-Level information technology job vacancies in The United States of America

Summary of Role

The Business Development Director, APJ is a pivotal member of our field sales operations within the Cognizant Workday Practice. You’ll drive our growth by focusing on generating new revenue and developing strategic plans to identify, prioritise and close key opportunities within the ASEAN market.

Working alongside a talented team of professionals, you'll play a crucial role in guiding ASEAN businesses through their journey towards HCM and Financial transformation. The AE will build strong partnerships with our clients, lead our understanding of their objectives and co-ordinate our positioning of proposed consulting and delivery services.

The BDD will lead the negotiation of contracts and effectively collaborate with internal teams to drive revenue growth and ensure client satisfaction.

Key Responsibilities

• Manage deal cycles across all Clients
• Actively update pipeline to ensure management is aware of deal flow
• Maintain a 3X pipeline of deals to quota
• Work with company counterparts to source and execute deals
• Engage with clients and prospects to provide services

Duties and Tasks

• Develop and plan a sales strategy, effectively positioning the Company’s services
• Cultivate relationships with Workday personnel and develop in-person relationships with all in-region field offies
• Develop and maintain relationships with Workday Account Executives and Business Development Managers
• Run complex sales cycles managing prospects and internal team members
• Organise and drive responses to RFPs and RFIs
• Set strategy for deal success
• Manage multiple, concurrent deal cycles maintaining accurate and timely client, pipeline, and forecast data
• Manage a quarterly sales quota and maintain a 3X pipeline of quota
• Provide support for marketing activities and events
• Work with the internal Delivery team to develop estimates for work and position us ahead of Cognizant competitors

Experience & Skills

• Must have extensive experience and expertise in Workday.
• Proven track record of improving service line efficiency and client satisfaction.
• Strong analytical and problem-solving skills.
• Excellent communication and collaboration abilities.
• Ability to lead and manage projects effectively.
• Commitment to staying abreast of industry trends and technological advancements.
• Adept at training and mentoring team members on new technologies and processes.
• Strong knowledge of the relevant partner ecosystem and the ability to collaborate within the ecosystem
• Recent experience working for IT professional services or management consulting firm(s)
• Recent experience managing global service delivery model(s)
• Excellent problem solving, business communication (written & oral), and client management skills are
• essential
• Experience developing opportunity pipelines, qualifying high priority deals, and winning new business in line
• with agreed targets
• Experience closing sales with a specific emphasis on growing sales. Specifically, win new deals in customer
• account per pre-agreed targets.
• Proven leadership qualities such as conflict/issue resolution, strategic and critical thinking and ownership,
• particularly with highly diverse teams
• Ability to work collaboratively in a virtual and highly-matrixed environment

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Summary Of Role

This is a senior architect role responsible for leading and driving the practice’s ambitious growth initiative with our most strategic cloud partner –Azure, AWS, GCP. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners –Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
• Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
• Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on at least one language node.js.
• Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
• Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases
• Microsoft BOT service
• Google DialogFlow EX
• Amazon Lex
• Natural Language Processing model - design, training and publishing for multiple languages
• Project experience and/or skills Certification with generative AI
• Azure Open AI (GPT 3.5/4)
• Google PaLM 2
• AWS Bedrocks
• Emotion and Sentiment Analytics
• Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
• Omni-Channel Integration for AI through Direct line
• Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
• Azure/ AWS/ GCP certifications in Machine Learning & AI
• Microsoft DP 100, AI 102
• AWS Machine Learning Specialty
• Google Certified Cloud Machine Learning Engineer
• Deeplearning.ai certifications on LLMs, prompt engineering
• Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
• Web app and services – Micro services, Azure functions, Logic apps, API management
• DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
• Ability to compare technologies in any layer objectively with evaluation criteria and considerations
• Excellent communication skills, preparing PowerPoint presentations, executive readouts

Geographical Coverage: Asia Pacific & Japan

Location: Singapore

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Summary Of Role

This is a senior architect role responsible for leading and driving the practice’s ambitious growth initiative with our most strategic cloud partner –Azure, AWS, GCP. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners –Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
• Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
• Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on at least one language node.js.
• Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
• Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases
• Microsoft BOT service
• Google DialogFlow EX
• Amazon Lex
• Natural Language Processing model - design, training and publishing for multiple languages
• Project experience and/or skills Certification with generative AI
• Azure Open AI (GPT 3.5/4)
• Google PaLM 2
• AWS Bedrocks
• Emotion and Sentiment Analytics
• Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
• Omni-Channel Integration for AI through Direct line
• Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
• Azure/ AWS/ GCP certifications in Machine Learning & AI
• Microsoft DP 100, AI 102
• AWS Machine Learning Specialty
• Google Certified Cloud Machine Learning Engineer
• Deeplearning.ai certifications on LLMs, prompt engineering
• Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
• Web app and services – Micro services, Azure functions, Logic apps, API management
• DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
• Ability to compare technologies in any layer objectively with evaluation criteria and considerations
• Excellent communication skills, preparing PowerPoint presentations, executive readouts

Geographical Coverage: Asia Pacific & Japan

Location: Singapore

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Summary Of Role

This is a senior architect role responsible for leading and driving the practice’s ambitious growth initiative with our most strategic cloud partner –Azure, AWS, GCP. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners –Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
• Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
• Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on at least one language node.js.
• Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
• Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases
• Microsoft BOT service
• Google DialogFlow EX
• Amazon Lex
• Natural Language Processing model - design, training and publishing for multiple languages
• Project experience and/or skills Certification with generative AI
• Azure Open AI (GPT 3.5/4)
• Google PaLM 2
• AWS Bedrocks
• Emotion and Sentiment Analytics
• Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
• Omni-Channel Integration for AI through Direct line
• Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
• Azure/ AWS/ GCP certifications in Machine Learning & AI
• Microsoft DP 100, AI 102
• AWS Machine Learning Specialty
• Google Certified Cloud Machine Learning Engineer
• Deeplearning.ai certifications on LLMs, prompt engineering
• Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
• Web app and services – Micro services, Azure functions, Logic apps, API management
• DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
• Ability to compare technologies in any layer objectively with evaluation criteria and considerations
• Excellent communication skills, preparing PowerPoint presentations, executive readouts

Geographical Coverage: Asia Pacific & Japan

Location: Singapore

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Summary Of Role

This is a senior architect role responsible for leading and driving the practice’s ambitious growth initiative with our most strategic cloud partner –Azure, AWS, GCP. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners –Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
• Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
• Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on at least one language node.js.
• Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
• Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases
• Microsoft BOT service
• Google DialogFlow EX
• Amazon Lex
• Natural Language Processing model - design, training and publishing for multiple languages
• Project experience and/or skills Certification with generative AI
• Azure Open AI (GPT 3.5/4)
• Google PaLM 2
• AWS Bedrocks
• Emotion and Sentiment Analytics
• Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
• Omni-Channel Integration for AI through Direct line
• Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
• Azure/ AWS/ GCP certifications in Machine Learning & AI
• Microsoft DP 100, AI 102
• AWS Machine Learning Specialty
• Google Certified Cloud Machine Learning Engineer
• Deeplearning.ai certifications on LLMs, prompt engineering
• Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
• Web app and services – Micro services, Azure functions, Logic apps, API management
• DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
• Ability to compare technologies in any layer objectively with evaluation criteria and considerations
• Excellent communication skills, preparing PowerPoint presentations, executive readouts

Geographical Coverage: Asia Pacific & Japan

Location: Singapore

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.

Summary Of Role

This is a senior architect role responsible for leading and driving the practice’s ambitious growth initiative with our most strategic cloud partner –Azure, AWS, GCP. This opportunity is scoped for high performing, high potential subject matter experts who are self-directed, entrepreneurial, highly collaborative, organized, diligent, and thoughtful.

Role Responsibilities

• Lead solution architecture for new business development and drive end-to-end implementation and deployment.
• Manage the solution architecture and proposal defense for reactive and proactive proposals responses for solutions on Generative AI (specially LLMs), Conversational AI & cloud AIaaS.
• Provide leadership for the transformation of customer requirements into visions, strategies, and roadmaps to implement Design Artificial Intelligence solutions, Data Science services platform at enterprise scale.
• Independently lead client design workshops and provide tradeoffs and recommendations.
• Strong expertise in the Data & AI architecture for one of the Hyperscaler partners –Azure, AWS, GCP
• Develop and implement applications leveraging advanced Generative AI models such as OpenAI GPT, Anthropic Clude, Google Plam2, Meta Llama2, focusing on enhancing developer and business productivity.
• Architect solutions incorporating advanced techniques like Retrieval Augmented Generation, In-context Memory, Transformer Architectures, and Hierarchical Models, ensuring optimal model performance and scalability.
• Utilize frameworks such as LangChain and Llama Index for efficient indexing, retrieval, and chaining of language models, enhancing the contextual understanding and response generation of applications.
• Integrate multiple components such as data processing, machine learning models, and feedback mechanisms to address architectural challenges and ensure seamless deployment.
• Stay abreast of emerging trends, complex patterns, dependencies in data, and advancements in AI architecture, contributing to the refinement and innovation of application development processes.
• Explore and implement inference techniques in generative AI for making predictions or generating new data based on observed input.
• Contribute to the Cognizant cloud community by developing assets, thought leadership, etc.

Experience & Skills

• Hands-on programming skill on at least one language node.js.
• Expert on Cloud competencies on “Artificial Intelligence” and “Machine Learning” PaaS components:
• Contextual Conversation design– for personalized and humanized interaction with end user for complex business cases
• Microsoft BOT service
• Google DialogFlow EX
• Amazon Lex
• Natural Language Processing model - design, training and publishing for multiple languages
• Project experience and/or skills Certification with generative AI
• Azure Open AI (GPT 3.5/4)
• Google PaLM 2
• AWS Bedrocks
• Emotion and Sentiment Analytics
• Custom Speech model - Speech-to-text and Voice synthesis calibrated for language, accent, pitch, tone, noise and business vocabs.
• Omni-Channel Integration for AI through Direct line
• Deployment and publish for AI and ML services with ACR, ACI, Docker, Azure Kubernetes
• Azure/ AWS/ GCP certifications in Machine Learning & AI
• Microsoft DP 100, AI 102
• AWS Machine Learning Specialty
• Google Certified Cloud Machine Learning Engineer
• Deeplearning.ai certifications on LLMs, prompt engineering
• Holistic knowledge of Solution Architecture, including “Data Analytics,” “Data Security,” “Dev Ops” & “ML Ops”:
• Web app and services – Micro services, Azure functions, Logic apps, API management
• DevOps CI/CD pipeline on Cloud – “GitHub for Enterprise”
• Ability to compare technologies in any layer objectively with evaluation criteria and considerations
• Excellent communication skills, preparing PowerPoint presentations, executive readouts

Geographical Coverage: Asia Pacific & Japan

Location: Singapore

About Cognizant

Cognizant (Nasdaq: CTSH) engineers modern businesses. We help our clients modernize technology, reimagine processes and transform experiences so they can stay ahead in our fast-changing world. Together, we're improving everyday life. See how at www.cognizant.com or @cognizant.