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.
コグニザントについて
コグニザント（NASDAQ: CTSH）は、AI Builderおよびテクノロジーサービスプロバイダーとして、お客様にフルスタックのAIソリューションを構築することで、AI投資と企業価値を結ぶ架け橋となっています。業界、ビジネスプロセス、エンジニアリングに関する当社の深い専門知識を活かし、組織固有のビジネス環境をテクノロジー・システムに組み込みます。これにより、人間の可能性を最大限に引き出し、確かな成果を実現するとともに、急速に変化する世界においてグローバル企業が常に一歩先を行くための支援を行っています。 詳細については、cognizant.ai をご覧ください。
雇用に関する追加情報
本募集に記載されている報酬情報は、掲載日時点で正確なものです。Cognizantは、適用される法令に従い、いつでも本情報を変更する権利を留保します。
応募者は、対面またはビデオ会議による面接への参加を求められる場合があります。また、各面接の際に、現在有効な州政府または政府発行の身分証明書の提示を求められる場合があります。
Cognizantは機会均等雇用主です。応募および選考において、人種、肌の色、性別、宗教、信条、性的指向、性自認、国籍、障がい、遺伝情報、妊娠、退役軍人の地位、その他連邦法・州法・地方自治体の法律により保護されるいかなる特性に基づく差別も行いません。
