# Santiago López Zavaletta > The part of AI work that is not the model. Source: https://www.slzavaletta.com/ Content updated: 2026-09-13 Location: Buenos Aires, Argentina Technical Project Manager at Globant. Joining Syneos Health as Senior Technical Project Manager in October 2026. Staffing the team, holding the budget, naming the risks, and getting the client to a decision they can stand behind. My career started in life-sciences delivery, moved through enterprise infrastructure, and grew into AI and digital delivery at scale for clients across the United States and Latin America. The work I want more of is AI deployment where the constraints are real: regulated industries, enterprise data, and people whose work changes. Next stop, AI in clinical development. ## Website pages [Work](https://www.slzavaletta.com/) · [Approach](https://www.slzavaletta.com/approach) · [Systems](https://www.slzavaletta.com/systems) · [Profile](https://www.slzavaletta.com/profile) · [Contact](https://www.slzavaletta.com/contact) [The work](https://www.slzavaletta.com/#work) · [Download résumé](https://www.slzavaletta.com/SantiagoLopezZavaletta_CV.pdf) ## Selected work Three cases. The challenge, my role, and the outcome. [AI delivery](https://www.slzavaletta.com/work/ai-delivery) [Digital Twin Studio](https://www.slzavaletta.com/work/digital-twin-studio) [M&A and corporate development](https://www.slzavaletta.com/work/mergers-and-acquisitions) Ten years in delivery: a multi-million-dollar AI account, six POCs, three go-lives and four M&A programs. ### Improving margin and reducing overhead on a multi-million-dollar AI account AI delivery · Globant · Oct 2025–present A multidisciplinary AI account had margin pressure and too much recurring delivery work happening by hand. I own staffing, capacity, and P&L for a delivery team of around twenty, run Scrum and governance, and automate recurring work with Claude and Jira. Account margin moved up several points. **Context:** AI delivery across data science, engineering, front-end, and DevSecOps. **Constraint:** Margin pressure and recurring operational overhead. ### Blue Crab Consulting Engagement Manager · 2025–2026 Concurrent with Globant Led functional and technical consultants across three enterprise Eightfold AI implementations — a global beverage leader, a leading LATAM retailer, and a top US research university — delivering on-time go-lives and full adoption, and scaling one deployment from its Mexico launch across additional LATAM markets. ### Building a new Digital Twin capability through six POCs Digital Twin Studio · Globant · Dec 2024–Oct 2025 Globant wanted a Digital Twin capability in a domain that was new to the team. I led a five-person LATAM POD, delivered a six-month fixed-price factory twin, worked with external partners, and supported presales. The first POC took roughly five weeks; the studio went on to deliver six. **Context:** A new real-time 3D capability with no existing delivery model. **Constraint:** An unfamiliar domain, external partners, and a fixed-price commitment. ## Approach ### Five things to agree on before a pilot starts. Before the first sprint, the client and delivery team need a shared brief. Explore each field: the question, the risk, and an example from my work. ### The business problem **The question:** What is costly, slow, risky, or otherwise worth changing? **When it is missing:** The pilot optimises for what the demo does well, and afterwards nobody can say what it fixed. **From the work:** On the AI account, recurring reporting was the cost that could be named and measured. That is where the automation started, not with the most impressive model. ### The users **The question:** Whose workflow needs to change, and what support will they need? **When it is missing:** Adoption gets measured after the fact, once the people who were supposed to change have already found a workaround. **From the work:** Three enterprise AI implementations went live on time and were adopted because the recruiters using the system were part of the delivery plan, not its audience. ### The constraints **The question:** What do data access, security, integrations, time, and competing tools allow? **When it is missing:** The first integration meeting becomes the moment the timeline is rewritten. **From the work:** The Digital Twin work depended on partner data and a fixed price. Both were written down before the first sprint, and the first POC landed in about five weeks. ### The success signal **The question:** What evidence would be credible enough to act on? **When it is missing:** Every stakeholder brings a different chart to the review, and the pilot ends in a second pilot. **From the work:** Margin and delivery metrics were the shared numbers on the AI account. Tradeoffs were argued from them while the team still had room to act. ### The decision **The question:** What will the evidence allow the customer to stop, fix, expand, or buy? **When it is missing:** A pilot that cannot be stopped is not a pilot. It is an unbudgeted rollout. **From the work:** Scope Sentinel is built the same way: when the evidence is missing it says so, instead of drafting a plausible answer for someone to approve. ## Systems I build, tools I use I build tools that turn contracts and client requests into delivery decisions backed by evidence. Here is the work, and the toolkit behind it. ### Scope Sentinel Reads a client request against the SOW, cites the exact clause, sizes the effort, and drafts the next step. When the evidence is missing, it says so. [Source on GitHub](https://github.com/slzavaletta/skills/tree/main/skills/scope-sentinel) ### SOW Intake Turns a contract into a cited delivery baseline that people and agents can use. Missing evidence is marked as missing, not filled with a plausible answer. [Source on GitHub](https://github.com/slzavaletta/skills/tree/main/skills/sow-intake) ### Run the work Linear, Jira, Power BI, Figma Scope, backlogs, delivery decisions, and shared context. ### Build and automate ChatGPT, Grok, Claude, n8n Draft, test, and automate recurring delivery work. ### Ship and operate GitHub, Python, Bash / PowerShell, Docker Version control, scripts, and containers for building and shipping tools. ### Exploring Mastra, LangGraph, Langfuse, pgvector Active learning, not production expertise: orchestration, evaluation, retrieval. ## How I got here Two engagements ran concurrently with my role at Globant, and are marked below. ### Syneos Health From October 2026 · Senior Technical Project Manager Upcoming Technical program management in a fully integrated biopharmaceutical solutions organisation, where AI is being embedded into clinical development under regulatory governance. ### Globant 2021–2026 · Technical Project Manager End-to-end delivery, forecasting, and P&L for US and LATAM digital transformation portfolios from under $1M to multi-million-dollar accounts, with cross-functional teams of up to 36. Launched Globant's Digital Twin Studio and standardized AI-assisted delivery reporting across the account. ### ZN Love 2026–present · Fractional Project Manager Concurrent with Globant Client relationships and delivery health across a three-project portfolio spanning entertainment, workforce technology, and creative production. Building the PMO from the ground up: presales discovery, SOW, governance, and change control. ### Blue Crab Consulting 2025–2026 · Engagement Manager Concurrent with Globant Led functional and technical consultants across three enterprise Eightfold AI implementations — a global beverage leader, a leading LATAM retailer, and a top US research university — delivering on-time go-lives and full adoption, and scaling one deployment from its Mexico launch across additional LATAM markets. ### ExxonMobil 2018–2021 · System Administrator Enterprise infrastructure, security, reporting, and service transition. ### gA 2014–2018 · Technical Project Lead Enterprise migration and performance-testing programs in life sciences. ### Coordinating four M&A programs across four countries M&A and corporate development · Globant · Jun 2022–Mar 2023 I coordinated due diligence across three Latin American acquisitions and the post-merger integration of a European firm. The work covered legal, marketing, IT, and change-management risk across four organisations in Latin America and Europe. **Context:** Simultaneous due diligence and post-merger work. **Constraint:** Different countries, functions, and decision owners. ### Credentials - Certified ScrumMaster — Scrum Alliance, 2024. Earned. - Certified SAFe 6 Agilist — Scaled Agile, 2024. Earned. - Claude Certified Architect — Foundations. In progress. ### Where I have worked Life sciences, Talent technology, Digital Twin, Retail, Higher education, Consumer goods, Hospitality, M&A, and Oil & Gas. ## Now **Role:** Technical Project Manager, Globant. Since 2021 **Next:** Senior Technical Project Manager, Syneos Health — AI in clinical development. From October 2026 **Building:** Two tools that read a request against the SOW, cite the clause, and say so when the evidence is missing. **Learning:** Claude Certified Architect (Foundations); orchestration, evaluation, and retrieval for agent workflows. **Availability:** Open to conversations about AI deployment work. ## Contact Building an AI pilot around enterprise data, regulatory requirements, or changing workflows? If you need someone to own delivery, I would like to talk. [Email](mailto:santiago@slzavaletta.com) · [LinkedIn](https://www.linkedin.com/in/slzavaletta) · [GitHub](https://github.com/slzavaletta) *Sean eternos los laureles que supimos conseguir.* Himno Nacional Argentino