Job Summary
Service Manager will oversee end to end delivery of hybrid model mainframe application services using Cobol JCL DB2 Mainframe Utilities to ensure stable high quality business systems.
- AI developer:Key Responsibilities
- Development: Design fine-tune and deploy machine learning and generative AI models.
- System Integration: Connect AI models and LLMs to backend software and APIs.
- Performance Optimization: Scale AI systems for speed accuracy and cost-efficiency..
Responsibilities
- Drive planning and execution of Artificial Intelligence projects by defining clear scope milestones and delivery plans that align with business objectives and client expectations.
- Coordinate cross functional teams including data experts engineers and business stakeholders to ensure effective collaboration and timely resolution of project dependencies.
- Monitor project progress using standardized tracking methods and dashboards to provide transparent updates on risks issues and status to stakeholders.
- Manage project risks by identifying potential delivery obstacles early assessing impact and implementing mitigation actions that minimize disruption to timelines and quality.
- Optimize resource utilization by aligning tasks with skills managing workload and working with managers to address capacity gaps across the project lifecycle.
- Ensure project documentation such as plans status reports and closure reports is maintained with clear and accurate content that supports audits and future reuse.
- Coordinate with clients in the Artificial Intelligence space to clarify requirements validate acceptance criteria and confirm that outcomes meet stated business goals.
- Drive adherence to delivery governance processes by following organization standards for estimation change control financial tracking and quality checks.
- Enable smooth hybrid working by scheduling regular virtual and in person ceremonies that support collaboration decision making and progress tracking.
- Support integration of Artificial Intelligence solutions into existing enterprise systems by aligning technical activities testing schedules and rollout plans with client teams.
- Align Artificial Intelligence project outcomes with enterprise strategies such as digital transformation customer experience and operational efficiency to create measurable value.
- Collaborate with cards and payments stakeholders when applicable to ensure that Artificial Intelligence use cases respect regulatory expectations fraud prevention norms and transaction integrity.
- Promote a culture of continuous improvement by capturing lessons learned from each Artificial Intelligence initiative and sharing practical recommendations across teams.
Qualifications
- Require professional experience of at least five years in project management with a focus on technology or data intensive initiatives in complex environments.
- Require hands on experience managing Artificial Intelligence projects such as machine learning solutions intelligent automation or advanced analytics implementations.
- Require strong familiarity with project management methods that may include predictive and adaptive approaches and the ability to apply them pragmatically in hybrid work setups.
- Require proven ability to gather requirements from diverse stakeholders translate needs into clear delivery plans and maintain traceability through the project lifecycle.
- Require strong communication and facilitation skills to conduct meetings clarify expectations and manage conflicts in multicultural and distributed teams.
- Prefer prior exposure to cards and payments processes such as authorization flows transaction processing and risk assessment within financial institutions.
- Prefer understanding of data privacy compliance and security considerations relevant to Artificial Intelligence solutions in financial and customer centric domains.
- Prefer familiarity with collaboration tools project tracking platforms and documentation practices that support transparent reporting in hybrid work environments.
- Prefer relevant academic background such as engineering computer science information systems or business management with focus on technology projects.
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。
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