北京招聘

Data Analytics Project Manager


Duties
The Data Analytics Project Manager will lead the planning, execution, and delivery of data engineering projects to incrementally build out our enterprise data platform. Key duties span across various technical and project management responsibilities in the data projects. The role applies technology skills in enabling capabilities like data ingestion, data modelling, data governance, data visualization and analytics toolset. The role requires a strong technical background in data technologies as well as excellent project management skills to ensure projects are completed on time and within budget, meeting high-quality standards.

Key Responsibilities:
84 Lead cross-functional teams and manage end-to-end responsibilities of data engineering projects, from inception to deployment
84 Collaborate with business stakeholders to deliver data platform capabilities, prioritising requirements basing on business benefits and protection against data risks
84 Project manage data initiatives, tracking progress and risks against scope, schedule and costs, in coordination with business and tech units
84 Promote compliant and quality reuse of data on enterprise platform, through incremental delivering functionalities in data lifecycle, including data access control, data lineage, data quality, data analytics etc.
84 Manage third party data products and vendors for deployment on the data platform
84 Implement cloud and open source capabilities to enable end-to-end data capabilities
84 Effectively use hybrid project management techniques, applying agile tools within SDLC phases
84 Coordinate with data engineering function in their efficient use of technical tools, internal resources and skills, optimising technical synergies and efficiency across initiatives

Requirements:
84 Bachelor’s degree in technology, engineering, or related disciplines
84 10 or more years of working experience in IT development or project management, preferably having good track record in large enterprises. More senior position requires stronger technology and management experiences
84 Well versed with SDLC project disciplines, experience with Agile methodologies and leading cross-functional teams
84 Solid technical background with hands-on experience in software development and data related technologies, such as multi-tiered service oriented architecture, data modelling and data visualization
84 Good coverage and understanding of enterprise data architecture requirements and end to end technology stack
84 Experience in JupyterHub or equivalent data scientist workbench and deployment of multi-tenant architecture
84 Familiar with native cloud technologies, e.g. AWS EKS, EFS
84 Experience in data security and data management tools, e.g. LDAP, OAuth, Keycloak, AWS Lake Formation, AWS Data Catalog, OpenMetadata
84 Familiarity with data management, data governance and data quality standards
84 Excellent communication and influencing skills
84 PMP, PRINCE2 or Agile certification is an advantage

ABOUT COGNIZANT
Cognizant (NASDAQ-100: CTSH) is one of the world’s leading professional services companies, transforming clients’ business, operating and technology models for the digital era. Our unique industry-based, consultative approach helps clients envision, build and run more innovative and efficient businesses. Headquartered in the U.S., Cognizant is ranked 195 on the Fortune 500 and is consistently listed among the most admired companies in the world. Learn how Cognizant helps clients lead with digital or follow us @Cognizant.

高知特 —— Cognizant（NASDAQ-100：CTSH），是全球领先的信息技术专业服务公司，致力于帮助客户在数字时代打造新的商业模式、运营模式和技术模式。通过我们植根于不同行业、专业独到的咨询式服务，我们将帮助客户构想(Envision)和建造(Build)未来愿景，成就(Run)创新和高效的企业。高知特（Cognizant）总部位于美国，“财富” 美国500强企业中名列第195位，被评为全球最受赞赏的公司之一。欢迎访问公司主页了解更多有关高知特（Cognizant）的数字服务。