From report delivery to a governed Data & AI function
Leading NADEC's Business Analytics team from producing reports to running a governed portfolio of data and AI work.
Six AI solutions live; roadmap and prioritization model adopted by leadership
The problem
The team's work was organized around delivering reports. Becoming a Data & AI function meant deciding which initiatives go first, governing data quality and access, and owning AI solutions that were already in flight when I joined.
My contribution
I lead a team of 11 (5 internal, 6 external) and own a seven-figure SAR annual budget. I set the roadmap, introduced the prioritization model, originated three AI solutions and took over three more.
Approach
A 30/60/90/360-day roadmap covering demand management, data quality, access, dashboard certification, SLAs and value realization. A value-based model that ranks initiatives on seven weighted criteria, led by business impact (30%) and cost savings (20%). Daily governance across nine active priorities.
What changed
Leadership adopted the roadmap and the prioritization model. Six AI solutions are live, Demand Sensing was delivered on its committed date, and workflows once run on 300+ Excel files now save about 120 hours a month, with zero errors since launch.
Evidence
- Invoice-extraction AI reads about 4,000 scanned invoices a month
- The GenAI e-BRD solution has been used for 30+ requirements documents
- SmartHR, which I took over, cut the search-to-interview cycle from 5 days to 1
Tools and platforms