
Visionary Data Strategist
3 days ago
We are seeking a seasoned and accomplished Director of Data Strategy to lead our data initiatives with a strategic mindset and hands-on leadership.
This role involves defining delivery excellence, ensuring governance, and mentoring teams to build scalable, high-quality solutions that drive business intelligence and analytics to the next level.
Responsibilities- Own the complete lifecycle of Data Warehousing, Business Intelligence, and 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.
- Define and implement best practices, standards, and quality frameworks across Data Science initiatives.
- Guarantee that all solutions are scalable, secure, governance-compliant, and aligned with organizational policies.
- Drive continuous process improvement, governance maturity, and innovation in delivery methodologies.
- Lead, mentor, and inspire cross-functional teams including Data Engineers, Business Analysts, and Data Scientists.
- Provide technical guidance across Data Science domains.
- Foster a culture of accountability, collaboration, and delivery excellence.
- Partner with business leaders to understand needs and translate them into actionable 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 Data Platforms, Cloud-based Data Warehousing Solutions (e.g. Snowflake, Azure Synapse), and Data Science Models.
- Evaluate emerging technologies and Data Science Methodologies to enhance efficiency, scalability, and analytical capabilities.
- Education: 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, Business Intelligence, and Analytics delivery.
- Expertise: Proven end-to-end delivery of large-scale Data Analytics and preferably Data Science projects.
- Governance & Quality: Deep understanding of project governance, quality frameworks, and compliance protocols.
- Technical Depth: Strong Data Modelling, ETL/ELT, Data Visualization (Power BI, Tableau), and familiarity with cloud ecosystems; fluency in Data Science tools, modelling, and predictive analytics.
- Leadership & Influence: Expert in team leadership, mentoring, stakeholder management, and executive communication.
- Innovation-Oriented: Proactive in adopting modern Data Platforms, Cloud DWH, and DS technologies and cultivating self-service analytics across teams.
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