Senior Business Intelligence Architect

We are seeking a seasoned leader to drive our data initiatives with a strategic mindset and hands-on leadership. The ideal candidate will define delivery excellence, ensure governance, and mentor teams to build scalable, high-quality business intelligence, data warehousing, and data science-enabled solutions that drive business intelligence and analytics to the next level.

• Strategic Leadership:
  • Lead cross-functional teams including data engineers, business intelligence developers, data science professionals, and project managers.
  • Provide technical guidance across business intelligence, data warehousing, and data science domains.
  • Foster a culture of accountability, collaboration, and delivery excellence.
• Project Delivery:
  • Own the complete lifecycle of business intelligence, data warehousing, 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.
• Technical Expertise:
  • Guide the adoption of modern business intelligence platforms, cloud-based data warehousing solutions (e.g., Snowflake, Azure Synapse, Redshift, BigQuery), and data science models.
  • Evaluate emerging technologies and data science methodologies to enhance efficiency, scalability, and analytical capabilities.
  • Governance & Quality:
    • Define and implement best practices, standards, and quality frameworks across business intelligence, data warehousing, 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.
  • Key Responsibilities:
    • End-to-End Delivery: Ensure timely, high-quality delivery of large-scale business intelligence, data warehousing, and data analytics projects.
    • Project Quality & Governance: Define and implement best practices, standards, and quality frameworks across business intelligence, data warehousing, and data science initiatives.
    • Leadership & Mentoring: Lead, mentor, and inspire cross-functional teams.
    • Business & Stakeholder Management: Partner with business leaders to understand needs and translate them into actionable business intelligence, data warehousing, and data science solutions.
    • Technology & Innovation: Guide the adoption of modern business intelligence platforms, cloud-based data warehousing solutions, and data science models.

Requirements:

• 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 business intelligence, data warehousing, data analytics, and preferably data science projects.
• Governance & Quality: Deep understanding of project governance, quality frameworks, and compliance protocols.
• Technical Depth: Strong data modeling, ETL/ELT, business intelligence platforms (Power BI, Tableau, Qlik), and familiarity with cloud ecosystems; fluency in data science tools, modeling, and predictive analytics.
• Leadership & Influence: Expert in team leadership, mentoring, stakeholder management, and executive communication.
• Innovation-Oriented: Proactive in adopting modern business intelligence, cloud data warehousing, and data science technologies and cultivating self-service analytics across teams.