At Digital Place Vision (DPV), we’re a team of Visionaries on a mission to light up the retail world with intelligent AI. We're not just about tech; we’re all about seeing the future of retail and making it happen today. From smarter operations to better decisions, we’re here to turn your retail challenges into opportunities for growth.
Own the Feature Lifecycle: Lead the end-to-end delivery of complex investigation features, from initial business discovery with stakeholders to final technical rollout.
Develop statistical analysis plans for population health, survivorship and health economics studies under the guidance of the Principal Investigator or Reporting Officer.
Enterprise Blueprints & Roadmaps: Define and maintain the target-state Data & AI architecture (e.g., data mesh/lakehouse, streaming, analytics, MLOps, metadata/lineage) and domain roadmaps aligned to business strategy and regulatory obligations.
Assist Head of IAU to develop risk-based audit plan and/or periodically review and adjust plan in response to changes in emerging and operational risks.
Conceptualise, design, and implement interactive dashboards and data visualizations using Qlik Sense Enterprise and/or QlikView based on business requirements.
4-year bachelor’s degree from an accredited university in Business Administration, Data Analytics, Computer Science, Economics, Statistics, Mathematics, or another quantitative discipline.