What are the responsibilities and job description for the Enterprise Data Governance Lead - (Informatica) 1 year plus Contract position at ContractStaffingRecruiters.com?
Job Description
Job Description
Informatica, Data Governance, Data Catalog, Data Quality
We are seeking an Enterprise Data Governance Lead who will work closely with Business and IT partners to deploy policies, standards, and best practices for effective data quality management across the organization.
This person will act as a liaison between Business, Data Governance, and IT, leading and coordinating with senior and top management to oversee and / or drive the implementation of data quality initiatives and report on the status.
Experience Needed :
- Experience leading cross-functional data governance teams and strategies to influence stakeholders at various levels of the organization.
- Experience driving data governance transformation, fostering data stewardship culture, and achieving measurable improvements in data quality and governance practices.
- Experience in advanced data governance concepts, data quality management, data stewardship, and data lineage tracking.
- Experience in implementing and managing data governance tools and technologies to support enterprise-wide data governance initiatives.
- Advanced knowledge of data profiling techniques, master data management, data cataloging, and metadata management.
- Experience configuring, using, and managing metadata management tools (Informatica).
- Experience using Azure data services (Azure Data Factory, Azure Data Lake Storage, Azure Synapse, Azure Blob Storage).
- Experience with configuring and maintaining enterprise metadata templates (data dictionaries, business glossaries, metrics / KPI glossaries).
- Experience working in an Agile environment – working as a part of teams to iteratively develop and deliver data products.
- Experience in data governance, data management, or related roles, with a focus on leading data governance projects and initiatives.
- Demonstrated experience in developing and implementing data governance frameworks, policies, and standards across complex data landscapes.
- Experience in data quality assessment, data remediation strategies, and data governance maturity assessments.
