Available · Remote · Hybrid · Madrid

Daniel Medina Sánchez

AI Transformation & Digital Operations Leader

I help organizations turn operational complexity into AI-enabled, measurable and governed work systems. Hybrid executive with 15+ years across Digital Workplace, Public Sector, ITSM and large-scale operations.

Experience & Credentials

AyesaKonectaHarvardX CS50TransformIA AI LabENEB MBA

15+

Years Experience

560+

People Led

Profile

Daniel Medina

AI Transformation & Digital Operations Leader

AI TransformationITSMHITL

€12M+

P&L Managed

3

Countries

HarvardX CS50x + CS50AI

15+

Years Experience

560+

People Led

3

Countries

€12M+

P&L Managed

CS50x+AI

HarvardX

Executive positioning

AI transformation with operating discipline

The portfolio is built around evidence: leadership scale, public-sector delivery, technical AI literacy and public-safe proof-of-work.

AI Transformation

Turning business ambiguity into governed AI-enabled work, with adoption paths, executive documentation and measurable operating routines.

AI adoptionHITLworkflow automationAI literacy

Digital Workplace / ITSM

Modern Workplace, service workflows and stakeholder delivery for large organizations and public-sector environments.

ITSMAtlassian JSMpublic sectordelivery

Operations Transformation

Large-scale service delivery, SLA/KPI governance, process redesign and executive client reporting across multi-country operations.

P&LSLA/KPICXservice delivery

Human-in-the-Loop Systems

AI workflows designed with human approval gates, evidence receipts, public-safe demos and explicit boundaries for sensitive action.

governanceevidenceapproval gatesresponsible AI

TransformIA Lab / HITL execution

From prompts to governed digital work systems

TransformIA Lab is the public-safe proof layer: Work Units, policy gates, evidence logs, value receipts and human approval before sensitive action. It demonstrates how Daniel turns AI interest into controlled operational execution.

No private runtime code
No customer data
No autonomous calendar action
No unsupported ROI claims

HITL workflow cockpit

Synthetic operating model

Demo only
1

Business intent captured

Traceable, reversible and approval-based. No external system is called from this public demo.

2

AI proposes a draft

Traceable, reversible and approval-based. No external system is called from this public demo.

3

Policy gate checks risk

Traceable, reversible and approval-based. No external system is called from this public demo.

4

Human reviews and corrects

Traceable, reversible and approval-based. No external system is called from this public demo.

5

Evidence receipt is logged

Traceable, reversible and approval-based. No external system is called from this public demo.

6

Next action remains approval-based

Traceable, reversible and approval-based. No external system is called from this public demo.

Recruiter Concierge

Ask the portfolio, with human approval boundaries

A deterministic public-safe demo that answers recruiter questions from local portfolio evidence. Interview actions remain pending Daniel approval.

Local rules · No external AI call

Recruiter Concierge

Deterministic · public-safe · no external AI call

HITL
Boundary: no calendar event, email or recruiter action is executed automatically.
Ask about Daniel Medina Sánchez using public portfolio evidence. Interview, calendar or follow-up actions always remain pending Daniel approval.

CS50x + CS50AI

Technical literacy for applied AI transformation

The technical foundation supports better AI project judgement: enough computer science and AI literacy to reason with engineering teams, evaluate constraints and avoid hand-wavy transformation.

HarvardX CS50x + CS50AI

C, Python, SQL, algorithms, data structures, search, knowledge representation, uncertainty, optimization, machine learning, neural networks and NLP.

Business-to-engineering translation

AI evaluation and prompt workflow literacy

Automation and workflow architecture concepts

Public-safe demos without publishing CS50 solutions

Operations / transformation / public sector

Enterprise execution, not just AI narrative

The core positioning is deliberately hybrid: Daniel combines operational scale, public-sector delivery and technical AI learning to make transformation credible.

Operations

SLA/KPI governance, P&L, productivity, quality and recurring executive cadence.

Public sector

Stakeholder alignment, documentation discipline and ITSM/Digital Workplace delivery context.

AI enablement

Practical adoption systems, HITL oversight and evidence-first automation patterns.

Professional contact

Available for senior AI Transformation, Digital Workplace and Operations roles

Best fit: AI Project Manager, AI Transformation Lead, Digital Workplace / ITSM Consultant, Operations Transformation Lead, AI Enablement and public-sector delivery roles.