Job Summary
The Techno-Functional SME (ModelN PByF) will play a pivotal role in enhancing our business processes through technical expertise and domain knowledge. With a focus on Model N solutions the candidate will drive efficiency and compliance in pricing and rebate management. This hybrid role requires collaboration across teams to optimize Oracle SQL and Python applications ensuring seamless operations and impactful contributions to our companys goals.
Responsibilities
- Develop and implement Model N solutions to streamline pricing and rebate management processes.
- Collaborate with cross-functional teams to ensure compliance with government pricing regulations.
- Utilize Oracle SQL and PL/SQL to optimize database performance and data retrieval.
- Apply Python programming skills to automate routine tasks and improve system efficiency.
- Provide technical support and troubleshooting for Model N PbF Regulatory and Commercial applications.
- Lead initiatives to enhance chargeback management processes ensuring accuracy and timeliness.
- Oversee the integration of Model N solutions with existing systems to ensure seamless operations.
- Conduct regular audits and assessments to maintain data integrity and compliance.
- Facilitate training sessions for team members on Model N functionalities and best practices.
- Engage with stakeholders to gather requirements and deliver tailored solutions.
- Monitor system performance and implement improvements to enhance user experience.
- Coordinate with government affairs teams to support compliance and regulatory needs.
- Drive innovation by exploring new technologies and methodologies to improve business processes.
Qualifications
- Possess extensive experience in Python programming for business applications.
- Demonstrate proficiency in Oracle SQL and PL/SQL for database management.
- Have hands-on experience with Model N PbF Regulatory and Commercial solutions.
- Exhibit strong knowledge in rebate payment administration and chargeback management.
- Show expertise in government pricing and compliance support.
- Experience in pricing support and Model N integration is highly desirable.
- Familiarity with hybrid work models and ability to adapt to changing environments.
Certifications
Oracle PL/SQL Developer Certified Associate Python Institute Certified Entry-Level Python Programmer
Work model
We strive to provide flexibility wherever possible. Based on this role’s business requirements, this is a hybrid position at Durham NC open to qualified applicants in the United States. Regardless of your working arrangement, we are here to support a healthy work-life balance though our various wellbeing programs.
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.
Work Authorization:
Please note, this role is not able to offer visa transfer or sponsorship now or in the future.
Salary and Other Compensation:
The annual salary for this position is depending on experience and other qualifications of the successful candidate.
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。
