Houston, TX, 77007, USA
5 days ago
Enterprise Data Quality Lead
We are seeking a highly skilled and motivated Enterprise Data Quality to oversee and ensure the accuracy, consistency, completeness and integrity of data. This individual will play a critical role in supporting the organization’s migration to a modern Cloud based ERP platform by implementing data quality standards, and leading cross-functional efforts to resolve data issues. The ideal candidate has deep expertise in data quality management, a strong understanding of ERP systems (specifically Oracle Cloud), and experience working in complex, enterprise-level implementation projects. **Roles & Responsibilities** + Data Quality Assurance and Strategy + Develop and implement a comprehensive data quality framework that’s repeatable. + Establish data quality standards, metrics, and KPIs to monitor and ensure high-quality data across modules (e.g., Financials, SCM, HCM, Procurement, CX). + Collaborate with stakeholders to define data ownership, roles, and responsibilities. + Ensure compliance with organizational policies and regulatory requirements (e.g., SOX, GDPR). + Oversee data profiling, cleansing, validation, and enrichment efforts during data migration and ongoing operations. + Identify data quality issues, root causes, and develop mitigation strategies in partnership with technical and functional teams. + Lead end-to-end data quality testing during implementation phases, including SIT and UAT cycles. + Collaborate with Oracle implementation partners to ensure alignment with project goals. **Stakeholder Collaboration** + Work closely with business process owners, functional leads, and technical teams to identify and address data quality requirements. + Serve as the primary point of contact for all data quality-related issues and escalations. + Facilitate workshops and training sessions to promote data quality awareness across the organization. **Tools and Technology** + Leverage Oracle tools like ODI, EDQ and others to automate and streamline DQ processes. + Define and configure rules and workflows in data quality tools to support project and operational needs. + Generate dashboards and reports to track and communicate data quality performance. **Knowledge, Skills & Abilities** **REQUIRED** + Minimum of 8+ years’ experience in IT within one or more specific technical domains; preferred domain in Data Engineering or Analytics. + Bachelor's from an accredited university in in Computer Science, Information Systems, Business Administration, or a related field. + 4+ years’ of experience with configuration and implementation of Cloud data warehousing and archiving tools in one or more cloud-based platforms + 3+ years’ experience with design and implementation of data integration platforms & ETL/ELT tools like Oracle Data Integrator, Boomi. + Expert in at least 2 of the following: PLSQL, Python, Spark, Scala, R scripting and IDEs like Jupitar notebook. + Must be well conversant with databases: Oracle, Sql server, ProgreSQL databases preferred. + Works independently under the direction of the Enterprise Architecture and may supervise other report developers. + Strong understanding of data migration strategies, tools, and methodologies. + Expertise in data profiling, cleansing, validation, and enrichment techniques. + Excellent analytical, problem-solving, and communication skills. + Ability to manage multiple priorities in a fast-paced environment. **PREFERRED** + Experience with Oracle Cloud ERP (Financials, Supply Chain, HCM) implementation projects. + Experience with Oracle EDQ, ODI, FAW, OAC is a plus. + Experience with design and deployment of Microsoft Azure cloud infrastructure, Azure Data Lake, and Azure Synapse Analytics services + Recent design and implementation experience with cloud-based data analytics platform services + Experience with data modelling + Experience building data pipelines in the cloud & dashboards. + Experience with Microsoft Azure Data Lake Gen2 and Azure Synapse Analytics or equivalent **Travel Requirement:** + This role may require domestic and potentially international travel of up to: <10% \#LI-JA1
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