Job Summary
Project Manager for an MNC responsible for planning coordinating and delivering SAP Datasphere projects in a hybrid work model focusing on replication flows data flows and data modelling for cheminformatics and bioinformatics programs ensuring high quality outcomes and collaboration across global scientific and data teams.
Responsibilities
- Manage end to end delivery of SAP Datasphere initiatives ensuring replication flow data flow and data modelling workstreams are executed on time within scope and aligned to stakeholder expectations in cheminformatics and bioinformatics domains.
- Coordinate detailed project plans for SAP Datasphere replication flow and data flow pipelines defining milestones dependencies and resource needs to support scientific data integration and analytics.
- Monitor project progress using structured status tracking proactively identifying schedule risks in data modelling or integration tasks and driving timely mitigation actions with technical and domain experts.
- Align project activities with hybrid work model practices balancing on site collaboration for critical design workshops with remote execution to maintain efficiency and work life balance.
- Collaborate closely with data architects SAP specialists and scientific users to translate cheminformatics and bioinformatics requirements into actionable SAP Datasphere configurations and project deliverables.
- Support project governance by organizing review meetings preparing concise progress reports and maintaining transparent communication with sponsors on scope budget and quality aspects.
- Ensure data quality and consistency by coordinating validation activities for replication flows data flows and models that support research datasets and experimental results.
- Partner with domain scientists to prioritize backlog items ensuring that data platform enhancements directly enable discovery predictive modelling and advanced analytics in chemistry and biology research.
- Coordinate with enterprise IT and security teams to align SAP Datasphere solutions with organizational standards on access control compliance and responsible data use in scientific contexts.
- Drive issue resolution by facilitating root cause analysis sessions for problems in data flows or models and coordinating action plans that restore stable operations for research users.
- Support change management by planning user training sessions preparing reference materials and encouraging adoption of new data workflows among cheminformatics and bioinformatics stakeholders.
- Optimize project execution by analyzing lessons learned from previous releases and applying improvements to estimation planning and collaboration practices in subsequent waves.
- Communicate clearly with cross functional teams about priorities expectations and timelines ensuring that technical and scientific contributors remain synchronized throughout the project lifecycle.
- Provide guidance on aligning SAP Datasphere capabilities with long term data platform strategies emphasizing sustainable architecture that can scale with future research and analytics demands.
Qualifications
- Require professional experience of six to eight years in project management with at least three years handling SAP data platform or analytics projects in complex enterprise environments.
- Require hands on exposure to SAP Datasphere replication flow data flow and data modelling activities sufficient to plan tasks estimate effort and engage meaningfully with technical practitioners.
- Require demonstrated experience managing projects in cheminformatics or bioinformatics domains supporting scientific data pipelines research workflows or computational analysis initiatives.
- Require strong understanding of how scientific data such as chemical structures assay results and biological sequences are curated transformed and integrated into analytics ready datasets.
- Require proven ability to manage stakeholders from both technical and scientific backgrounds balancing competing priorities while maintaining focus on outcome driven delivery.
- Require familiarity with hybrid work models including coordination of distributed teams use of collaboration tools and facilitation of remote workshops or standups.
- Require solid knowledge of project management practices including scope management risk management schedule control and status reporting using recognized frameworks.
- Nice to have exposure to agile or iterative delivery methods for data and analytics projects including backlog management and incremental release planning.
- Nice to have understanding of cloud based data platforms and integration patterns that complement SAP Datasphere in enterprise research environments.
- Nice to have experience working in multinational organizations where cross cultural communication and alignment across regions are part of daily responsibilities.
- Nice to have familiarity with regulatory and compliance considerations related to scientific data such as data governance audit readiness and controlled access to sensitive datasets.
- Nice to have professional certification in project management or data related disciplines that demonstrates commitment to continuous learning and structured delivery practices.
Certifications Required
Preferred certifications include PMP or PRINCE2 and SAP certified application associate in SAP Datasphere or similar SAP data and analytics certification.
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。
