A Snapshot of Your Day 

As a Data Quality Manager (f/m/d), the day typically involves close collaboration with business stakeholders, data stewards, and engineering teams in data domains to discover and co-create data quality expectations. The role focuses on translating data governance strategy into scalable frameworks and embedding data quality and observability into processes and systems. Efforts also include standardizing reusable capabilities, strengthening metadata and governance practices, and ensuring consistent operationalization across the organization. Define and use mechanisms to measure impact through business value such as efficiency gains and reduced data risks, with insights regularly shared with senior leadership to support strategic decision-making.

How You’ll Make an Impact 

• Execution of enterprise data quality strategy through translation of business objectives into scalable architectures, roadmaps, and implementation patterns
• Definition of frameworks for measuring financial and operational impact, including cost of poor data quality (COPDQ), efficiency gains, and revenue enablement
• Standardization of reusable data quality capabilities and integration of domain terminologies and semantic layers with quality rules and observability metrics
• Establishment of governance structures, development of organizational capabilities, and definition of audit and assurance KPIs for enterprise reporting
• Collaboration with business stakeholders, data stewards, and engineers to define and refine data quality requirements
• Development and maintenance of a Data Quality Playbook alongside communication of insights to senior leadership to support strategic decision-making

What You Bring

• Bachelor’s degree in Electrical Engineering or Computer Science; for India, additional MBA from a Tier-1 institution with 10 years of experience in data governance
• Long-standing professional experience in data quality, data governance, or related data management fields within complex data environments including multiple ERP, CRM, OEM systems, and data lake architectures
• Strong expertise in data quality frameworks, metadata management, data lineage, and data catalogs, with advanced SQL proficiency and experience in modern data architectures (data lakehouse, data mesh, data fabric, streaming architectures)
• Experience in developing data quality business cases, prioritizing investments, and demonstrating sustained ROI from data quality programs
• Strong stakeholder management, change management, and cross-functional leadership capabilities
• Excellent English proficiency; certifications in data governance or data quality (e.g., DAMA CDMP) and familiarity with ISO standards, SAP data extraction methods, and Salesforce APIs considered a plus