Senior Director: Business Systems & Analytics

Role Description
This leadership role directs the end-to-end lifecycle of the companys internal technology ecosystem and data assets. The position focuses on evolving the organisation from basic data collection to advanced business intelligence, managing internal applications and data sets as high-value products. By bridging technical architecture and executive strategy, the role ensures business systems are scalable, automated, and governed by a "Single Source of Truth" to drive profitability and operational excellence.
Team Management & Leadership 20%

• Direct recruitment, orientation, and professional development to increase team effectiveness.
• Establish accountabilities, monitor project results, and provide structured feedback to drive performance and culture.
• Champion an "Internal Product Management" model, treating applications and data as products.
• Partner with the Architecture, Platform, and Data functions to align infrastructure with business measurement requirements.
• Ensure business data definitions are communicated and integrated into the enterprise data catalogue.

Strategy, Governance & Business Partnership 15%

• Serve as the primary strategic technology partner for Sales, Marketing, Customer Operations, and Finance.
• Drive enterprise-wide data value strategy to influence product profitability and risk mitigation.
• Cultivate a data-driven culture to ensure evidence-based decision-making across leadership.
• Define the organisational framework for data stewardship, governance models, and quality standards.
• Develop a product roadmap for business systems to align with digital transformation initiatives.

Business Sytem Architecture & Process Optimization 30%

• Oversee the architecture, configuration, and integration of the business system ecosystem.
• Critically evaluate solution designs for scalability, ensuring they address complex business logic without hitting system limits.
• Lead continuous innovation in automation to increase operational efficiencies and reduce manual processes.
• Collaborate with engineering and departmental leads to drive scalable system designs.
• Manage the technology stack budget, vendor partnerships, and contract expenditures to ensure ROI and value.

Business Intelligence & Analytics 30%

• Govern the corporate "Business Glossary" and standardised data definitions.
• Oversee the full lifecycle of internal data products while enforcing source-level data quality.
• Define and manage strategic intelligence projects from inception to delivery.
• Direct the design of high-impact visualisations serving as the regulated "Single Source of Truth."
• Lead the transition from reactive reporting to a proactive, self-service analytics cul
  
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