About AI & Analytics: Artificial intelligence (AI) and the data it collects and analyzes will soon sit at the core of all intelligent, human-centric businesses. By decoding customer needs, preferences, and behaviors, our clients can understand exactly what services, products, and experiences their consumers need. Within AI & Analytics, we work to design the future—a future in which trial-and-error business decisions have been replaced by informed choices and data-supported strategies.
By applying AI and data science, we help leading companies to prototype, refine, validate, and scale their AI and analytics products and delivery models. Cognizant’s AIA practice takes insights that are buried in data and provides businesses a clear way to transform how they source, interpret and consume their information. Our clients need flexible data structures and a streamlined data architecture that quickly turns data resources into informative, meaningful intelligence.
*Please note, this role is not able to offer visa transfer or sponsorship now or in the future*
Job Summary
We are seeking a Data & AI Strategy Advisor to partner closely with healthcare payer stakeholders in defining and executing their data and AI transformation journey. Unlike traditional consulting roles, this position focuses on facilitating strategy development alongside client teams, enabling them to build internal capabilities, alignment, and ownership of outcomes. The role requires expertise in data strategy, governance, AI enablement, and healthcare payer operations, with a strong emphasis on collaboration, coaching, and strategic advisory. The ideal candidate will help translate business goals into actionable data and AI priorities while ensuring regulatory and governance considerations are addressed.
In this role, you will:
· Partner with business, data, and technology leaders to assess current-state capabilities, identify gaps, and uncover opportunities within the client’s data and AI landscape.
· Facilitate the development of a multi-year Data & AI strategy and roadmap, ensuring stakeholder alignment and client ownership of outcomes.
· Translate executive vision and business objectives into prioritized initiatives, measurable KPIs, and actionable delivery plans.
· Assess existing data platforms, architecture, governance, and operating models, providing recommendations aligned with organizational maturity and business goals.
· Advise on data governance, data quality, lineage, metadata management, and Master Data Management (MDM) initiatives.
· Help identify, evaluate, and prioritize AI, Generative AI, and agentic AI use cases across healthcare payer domains such as claims, utilization management, member experience, and provider operations.
· Guide the adoption of responsible AI frameworks, model governance practices, and risk management controls appropriate for regulated healthcare environments.
· Collaborate with client teams to ensure recommendations align with HIPAA, CMS interoperability requirements, and other healthcare regulatory obligations.
· Facilitate workshops, stakeholder discussions, and strategy sessions to build consensus and drive informed decision-making.
· Identify data quality, governance, and model risk concerns and provide recommendations for mitigation and continuous improvement.
What you need to have to be considered
· 10+ years of experience in Data Strategy, Data Governance, Analytics Strategy, AI Strategy, or Enterprise Data Transformation roles.
· Demonstrated experience facilitating strategic planning sessions and building data/AI roadmaps collaboratively with client stakeholders.
· Strong understanding of data governance, data quality, metadata management, lineage, MDM, and modern data architecture principles.
· Experience advising organizations on AI, Generative AI, advanced analytics, and data-driven business transformation initiatives.
· Knowledge of healthcare payer data domains including claims, eligibility, provider, member, quality measures, and utilization management is highly desirable.
· Familiarity with healthcare regulations and standards including HIPAA, CMS interoperability requirements, and healthcare data governance practices.
· Strong business consulting, stakeholder management, workshop facilitation, and executive communication skills.
· Ability to translate ambiguous business objectives into structured strategic plans and measurable outcomes.
· Experience working across business and technology teams to align strategy, governance, and execution.
· Bachelor’s or Master’s degree in Business, Data Management, Computer Science, Healthcare Informatics, or a related field.
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Applications will be accepted until 14 Aug 2026.
Salary and Other Compensation:
The annual salary for this position is between $[151,000 - 177,500] 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
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。
