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%​ 

 

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