Skip to main content
Rethabile Molai

Rethabile Molai

Digital Transformation & AI-Enabled Analytics Product Owner | Enterprise BI & Decision Intelligence

Talent
JohannesburgMember since July 19, 2026
Digital TransformationData ProductsGenerative AIDecision IntelligenceConversational AnalyticsPredictive AnalyticsPower BISQL ServerPythonSQLExcelTableauMachine LearningMySQL
·

Hire this person

Send a job offer directly to this candidate

Digital TransformationData ProductsGenerative AIDecision IntelligenceConversational Analytics

About

Digital Transformation leader and Analytics Product Owner specialising in AI-enabled decision intelligence, bridging business strategy, technology, and data teams to turn operational complexity into enterprise-scale value. Builds and governs the data products, roadmaps, and stakeholder alignment that move organisations from static reporting toward intelligent, self-service decision-making. Engineering-trained, with delivery experience across telecommunications, supply chain, and asset-intensive operations, and capability that extends naturally into banking and mining.

Experience

Industrial Engineer (Lead BI & AI Analyst) at INHANCE Supply Chain Solutions (2025-02 – Present)

Client: Vodacom

  • Established the BI and analytics product function for a national digital transformation programme spanning 9 regions and a main distribution centre, setting strategy, roadmap, and prioritisation across 9 work packages and aligning executive and technical stakeholders.
  • Architected a material planning analytics product for an asset-intensive, multi-site operation, integrating supply, demand, inventory, and project rollout data to extend decision-support visibility across 10,000+ SKUs to 50+ operational and executive users.
  • Transformed the supply-demand planning capability, improving inventory exposure from approximately R700M to R450M by financial year-end and mitigating capital risk across the business.
  • Championed automation of enterprise reporting and planning processes, cutting manual effort by 40% and planning team workload by 25%.
  • Spearheading the evolution of enterprise BI into an AI-enabled decision intelligence platform, giving executives conversational, natural-language access to operational data and automating KPI generation through applied LLM integration.

Lead Technical Support Application Consultant at INHANCE Supply Chain Solutions (2024-01 – 2025-02)

Clients: Twinsaver, Spar, Montego, AMSA

  • Managed technical consulting and enterprise application delivery across four clients, governing system performance, issue resolution, and go-live readiness.
  • Authored business process and technical requirements documentation that cut implementation time by 15%, strengthening systems delivery across client engagements.
  • Governed testing and implementation support, achieving a 95% success rate across enterprise system go-lives.
  • Strengthened Level 2 technical support across Mobility, TMS, and Logistics Portals, improving system uptime and user satisfaction across the client base.

Business Analyst at INHANCE Supply Chain Solutions (2022-11 – 2024-01)

Client: ArcelorMittal South Africa - AMSA

  • Led Continuous Improvement projects that lowered transport costs through analytical assessment and optimized logistics flows.
  • Facilitated stakeholder engagements to identify process gaps and design targeted operational solutions.
  • Built reporting and analytics capability using SQL, Excel, and visualization tools to support operational decisions.
  • Aligned business needs with technical solution design during delivery, working across business and IT teams.

Junior Data Analyst at DPW Construction & Mechanical Engineering (2020-09 – 2021-11)

  • Produced data analysis and dashboards using SQL, Excel, and visualization tools to support business decisions.
  • Documented data management procedures and authored stakeholder reporting, improving standardisation across the team.

Education

Bachelor of Engineering in Industrial Engineering – University of Pretoria (2019 – 2022)

Skills

Enterprise BI & Decision Intelligence

Reviews