
Director, Data Quality and Governance
14 hours ago
Own the complete lifecycle of Business Intelligence, DWH, and Data Analytics projects—from requirements gathering through development and deployment.
Ensure delivery is on time, within budget, and of the highest quality.
Act as the primary escalation point for project risks, challenges, and stakeholder concerns.
Project Quality & Governance
Define and implement best practices, standards, and quality frameworks across BI, DWH, and Data Science initiatives.
Guarantee that all solutions are scalable, secure, governance-compliant, and aligned with organizational policies.
Lead, mentor, and inspire cross-functional teams including data engineers, BI developers, data science professionals, and project managers.
Provide technical guidance across BI, DWH, and Data Science domains.
Business & Stakeholder Management
Partner with business leaders to understand needs and translate them into actionable BI, DWH, and DS solutions.
Drive stakeholder alignment and ensure projects deliver measurable business outcomes.
Present insights, project outcomes, and recommendations to senior leadership in a clear and business-oriented narrative.
Guide the adoption of modern BI platforms, cloud-based data warehousing solutions (e.g. Snowflake, Azure Synapse, Redshift, BigQuery), and data science models.
Bachelor's or Master's in Computer Science, Data Management, Information Systems, or a related field.
Experience: 20+ years overall, with at least 15 years in leading Data Warehousing, BI, and Analytics delivery.
Proven end-to-end delivery of large-scale BI, DWH, Data Analytics, and preferably DS projects.
Governance & Quality: Deep understanding of project governance, quality frameworks, and compliance protocols.
Technical Depth: Strong data modelling, ETL/ELT, BI platforms (Power BI, Tableau, Qlik), and familiarity with cloud ecosystems; Expert in team leadership, mentoring, stakeholder management, and executive communication.
Proactive in adopting modern BI, Cloud DWH, and DS technologies and cultivating self-service analytics across teams.
Planning & Execution
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