"Please note, this role is not able to offer visa transfer or sponsorship now or in the future."
About the role
As a Principal Data Scientist & AI Thought Leader - Enterprise Intelligence, you will make an impact by leading the transformation of enterprise analytics from traditional reporting to an AI-first, conversational intelligence ecosystem. You will be a valued member of the Data & AI leadership team and work collaboratively with executive stakeholders, business leaders, data engineering teams, analytics teams, and technology partners to deliver innovative AI-powered decision intelligence solutions.
In this role, you will:
- Serve as a strategic advisor to senior business and technology leaders, translating advanced AI and data science concepts into actionable business outcomes and transformation roadmaps.
- Lead the design and evolution of conversational analytics platforms that enable natural language, “What-If,” “Why,” and scenario-based decision-making across the enterprise.
- Architect AI-driven business intelligence solutions leveraging Databricks, large language models (LLMs), agentic AI frameworks, and modern data platforms.
- Establish enterprise frameworks for model observability, AI governance, performance monitoring, and synthesis of insights across multiple analytics and machine learning systems.
- Drive the development of executive intelligence dashboards that incorporate anomaly detection, automated root-cause analysis, dynamic metric attribution, and predictive insights.
Work model
We believe hybrid work is the way forward as we strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position requiring attendance at a client or Cognizant office as needed.
The working arrangements for this role are accurate as of the date of posting. This may change based on the project you're engaged in, as well as business and client requirements. Rest assured; we will always be clear about role expectations.
What you need to have to be considered
- Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, Artificial Intelligence, or a related field.
- Extensive experience architecting and delivering enterprise-scale solutions on the Databricks platform, including Databricks Genie, Delta Lake, and Lakehouse architectures.
- Hands-on experience building agentic AI solutions, conversational analytics platforms, NL2SQL/NL2 Analytics capabilities, and LLM orchestration frameworks such as LangChain, LlamaIndex, or AutoGen.
- Deep expertise in Business Intelligence modernization, diagnostic analytics (root-cause synthesis), and executive dashboard strategy.
Strong proficiency in Python, SQL, statistical modeling, machine learning, forecasting techniques, and causal inference methodologies.
- Proven ability to engage and influence executive stakeholders while aligning AI initiatives with measurable business objectives.
- Experience defining AI governance, model monitoring, observability, and responsible AI frameworks within complex enterprise environments.
These will help you stand out
- Experience designing AI-powered decision intelligence platforms for large, multi-functional organizations.
- Preferred certifications include Azure Data Engineer Associate or Azure AI Engineer Associate or equivalent cloud and AI credentials aligned to Azure Databricks and MLOps.
- Knowledge of emerging AI-for-BI frameworks, enterprise knowledge management solutions, and intelligent automation platforms.
- Experience leading cross-functional teams through data and AI transformation programs.
- Demonstrated thought leadership through industry speaking engagements, publications, patents, or contributions to the AI and analytics community.
We're excited to meet people who share our mission and can make an impact in a variety of ways. Don't hesitate to apply, even if you only meet the minimum requirements listed. Think about your transferable experiences and unique skills that make you stand out as someone who can bring new and exciting things to this role.
Salary and Other Compensation:
Applications will be accepted until September 7th, 2026.
The annual salary for this position is between $150,000 - $180,000 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.
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.
关于高知特 (Cognizant)
高知特(Cognizant)（纳斯达克代码：CTSH）作为一家AI Builder和相关技术服务提供商，致力于通过打造全栈AI解决方案，帮助企业将人工智能投资转化为实际价值。公司凭借深厚的行业经验、流程优化和工程技术专长，将企业独特的业务场景融入科技系统，赋能组织释放人才潜能，推动切实成果，并帮助全球企业在瞬息万变的环境中保持领先。如需了解更多详情，敬请访问 cognizant.ai 或关注@cognizant。
补充雇佣信息
薪酬信息截至本职位发布之日为准。Cognizant 保留在适用法律允许的范围内随时修改该信息的权利。
申请人可能需要通过现场面试或视频会议的方式参加面试。此外，候选人在每次面试时可能需要出示其当前所在州或政府签发的有效身份证件。
Cognizant 是一家提供平等就业机会的雇主。在招聘过程中，您的申请和候选资格不会因种族、肤色、性别、宗教、信仰、性取向、性别认同、国籍、残疾、遗传信息、怀孕、退伍军人身份或任何其他受联邦、州或地方法律保护的特征而受到影响。
