
Senior Business Intelligence and Data Strategy Lead
2 days ago
A seasoned leader is sought after to spearhead data initiatives with strategic vision and hands-on expertise. This role involves overseeing the delivery of high-quality BI, DWH, and data science-enabled solutions that drive business intelligence to new heights.
Main Responsibilities- This role requires end-to-end delivery of Business Intelligence, DWH, and Data Analytics projects – from requirements gathering through development and deployment.
- The ideal candidate will ensure timely, budget-friendly, and exceptional quality delivery.
- As the primary escalation point for project risks, challenges, and stakeholder concerns, effective communication and problem-solving skills are essential.
- The Director will define and implement best practices, standards, and quality frameworks across BI, DWH, and Data Science initiatives.
- They will guarantee scalable, secure, governance-compliant solutions aligned with organizational policies.
- This role demands a continuous process improvement, governance maturity, and innovation in delivery methodologies.
- The successful candidate will lead, mentor, and inspire cross-functional teams including data engineers, BI developers, data science professionals, and project managers.
- Providing technical guidance across BI, DWH, and Data Science domains is crucial.
- Fostering a culture of accountability, collaboration, and delivery excellence is key to success.
- This role involves partnering with business leaders to understand needs and translate them into actionable BI, DWH, and DS solutions.
- The Director will drive stakeholder alignment and ensure projects deliver measurable business outcomes.
- Presenting insights, project outcomes, and recommendations to senior leadership in a clear and business-oriented narrative is essential.
- The Director will guide the adoption of modern BI platforms, cloud-based data warehousing solutions (e.g., Snowflake, Azure Synapse, Redshift, BigQuery), and data science models.
- Evaluating emerging technologies and DS methodologies to enhance efficiency, scalability, and analytical capabilities is critical.
- Bachelor's or Master's in Computer Science, Data Management, Information Systems, or a related field is required.
- At least 20 years of overall experience, with 15+ years in leading Data Warehousing, BI, and Analytics delivery is preferred.
- Proven end-to-end delivery of large-scale BI, DWH, Data Analytics, and preferably DS projects is essential.
- Deep understanding of project governance, quality frameworks, and compliance protocols is crucial.
- Strong data modeling, ETL/ELT, BI platforms (Power BI, Tableau, Qlik), and familiarity with cloud ecosystems; fluency in DS tools, modeling, and predictive analytics is necessary.
- Expert team leadership, mentoring, stakeholder management, and executive communication skills are essential.
- Innovation-oriented individuals who adopt modern BI, Cloud DWH, and DS technologies and cultivate self-service analytics across teams are highly valued.
CORE COMPETENCIES REQUIRED:
- Communication
- Adaptability
- Planning & Execution
- Collaboration
- Continual Learning
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