Job Summary
This project is new and in partnership with EDMO we are planning to stand up a team that can work with other teams in the enterprise to implement Collibra. This work may last 2-4 years as each team cycle is roughly 3-4 months. We are looking for this team to provide the setup training an maintenance as we need to ensure consistency.
Responsibilities
- Drive the design and maintenance of enterprise data governance solutions that enable reliable analytics and support critical business decisions
- Oversee the configuration and upkeep of Collibra based data governance platforms to ensure consistent metadata management and policy compliance across the organization
- Coordinate cross functional stakeholders to capture data requirements and translate them into actionable governance rules that align with enterprise standards
- Develop scalable processes for data cataloging and lineage tracking that enhance transparency and trust in enterprise data assets
- Monitor data quality metrics and implement remediation plans that reduce data defects and improve overall reliability of analytical outputs
- Guide the implementation of maintenance procedures for data platforms that minimize downtime and ensure stable performance for business users
- Create detailed documentation for data models business glossaries and governance workflows that enable efficient onboarding and ongoing knowledge sharing
- Collaborate with engineering and architecture teams to optimize integration of Collibra with other enterprise systems ensuring seamless data flows
- Analyze complex data usage patterns to recommend improvements in governance controls and access policies that protect sensitive information
- Partner with product and business teams to prioritize data initiatives that directly contribute to client value and organizational outcomes
- Develop reports and dashboards that clearly present governance metrics and platform health indicators to stakeholders at various levels
- Provide mentorship and guidance to junior data professionals by sharing best practices in data governance maintenance and analytical problem solving
- Drive continuous improvement initiatives in data governance processes focusing on automation standardization and measurable business impact
Qualifications
- Possess ten to fourteen years of progressive experience in data analysis data governance or related disciplines with hands on exposure to large scale enterprise environments
- Demonstrate advanced proficiency with Collibra including configuration of domains workflows roles and stewardship models within complex organizations
- Exhibit strong experience in ongoing maintenance of data platforms including monitoring troubleshooting and optimizing data governance tools
- Show practical knowledge of enterprise data architecture concepts such as data catalogs data lineage reference data and master data management
- Apply solid analytical and SQL skills to validate data integrity perform root cause analysis and support remediation activities for critical datasets
- Display familiarity with regulatory and compliance requirements related to data management and apply these principles within governance frameworks
- Communicate effectively with technical and non technical partners by translating data governance concepts into clear and practical guidance
- Utilize strong problem solving and time management capabilities to handle multiple concurrent initiatives in a hybrid work setting without travel requirements
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。
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