
Senior Strategic Business Intelligence Leader
1 week ago
Lead Business Intelligence and Data Science Strategist
Drive our organization's data initiatives, spearheading the development of strategic decision-making capabilities through hands-on leadership. You will define delivery excellence, ensure governance, and mentor teams to build scalable, high-quality solutions that propel business intelligence forward.
Key Responsibilities:
- Own the complete lifecycle of Business Intelligence and Data Analytics projects-from requirements gathering through development and deployment.
- Ensure timely, high-quality delivery within established parameters.
- Act as the primary escalation point for project risks, challenges, and stakeholder concerns.
Project Governance & Quality Management
- Define and implement best practices, standards, and quality frameworks across BI and 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.
Leadership & Mentoring
- Lead, mentor, and inspire cross-functional teams including data engineers, BI developers, data science professionals, and project managers.
- Provide technical guidance across BI and Data Science domains.
- Foster a culture of accountability, collaboration, and delivery excellence.
Business & Stakeholder Management
- Partner with business leaders to understand needs and translate them into actionable BI 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.
Technical Innovation
- Guide the adoption of modern BI platforms, cloud-based data warehousing solutions (e.g., Snowflake, Azure Synapse), and data science models.
- Evaluate emerging technologies and DS methodologies to enhance efficiency, scalability, and analytical capabilities.
Required Skills:
- 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, BI, and Analytics delivery.
- Expertise: 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; fluency in DS tools, modelling, and predictive analytics.
- Leadership & Influence: Expert in team leadership, mentoring, stakeholder management, and executive communication.
- Innovation-Oriented: Proactive in adopting modern BI, Cloud DWH, and DS technologies and cultivating self-service analytics across teams.
Core Competencies Required:
- Communication
- Adaptability
- Planning & Execution
- Collaboration
- Continual Learning
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