Five offerings, all built on the same principle: data first, AI later, transformation lasts. Each module is informed by production-scale delivery across Danone, BMI Group, and Reckitt — not theory.
I surface the value already locked inside your data. Through structured migration and cleansing, I resolve the inconsistencies and silos that obscure decision-grade insight — at scale, against tollgates, under regulatory scrutiny.
Master Data Governance — designed for the AI era. Greenfield SAP MDG deployments, complementary platforms (Datasphere, Syniti, IBP, C4C, B2B, MII, Anaplan), and governance operating models with named Global Data Owners across Finance, Supply Chain, Commercial, and Master Data domains.
Transformations require cultural shifts as much as technical ones. I lead Agile delivery organisations of 22 to 60+, build Centres of Excellence, and train users at scale. I work to tollgated programmes and report into steering committees alongside CFOs and country MDs.
Most boardroom AI strategies are written assuming the data underneath them will cooperate. It rarely does. I close the gap.
I assess your fragmented data estate against a five-pillar AI Readiness Assessment framework — proportional access control, corporate data sovereignty, algorithmic fairness, factual integrity, and human-in-the-loop accountability. The output is a phased roadmap that distinguishes which AI use cases are data-ready now versus which require upstream governance work first.
I design and stand up RAG (Retrieval-Augmented Generation) architectures where the foundations support them — natural-language access to enterprise data without retraining models, with hallucination risk constrained by data quality.
For organisations 6–18 months into a major AI or digital transformation that's lost momentum. Typical situation:
I run a four-to-six-week diagnostic to identify why the programme has stalled, then sequence the data work that gets it moving again. Outputs: stalled-state diagnosis, 90-day reset plan, and an executive-level reframe of "change management" as "data stewardship adoption."
Most engagements start with a 30-minute conversation about what's actually broken. Bring the messy version.
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