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%

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