Ricardo Arias

Business Analyst & Project Manager at Odoo (2025-11 – Present)

Led end-to-end ERP implementations (Pre-Kickoff, Kickoff, implementation, go-live readiness, and post-go-live support), aligning scope, timeline, and stakeholder expectations across multiple clients.
Facilitated requirements workshops and translated business needs into clear process documentation, configuration decisions, and prioritized action items with owners and deadlines.
Designed and validated to-be flows for core operations, using an MVP approach ("adopt before adapt") to reduce unnecessary customization and keep delivery moving.
Owned delivery cadence and project hygiene: weekly working sessions, meeting minutes, action item tracking, dependency management, and risk follow-up to prevent stalls from missing inputs or shifting priorities.
Coordinated stakeholders and internal teams to unblock functional issues, escalate constraints, and keep implementations progressing from test to production.
Delivered client enablement and adoption support through training sessions and guided practice runs in test environments, reducing go-live risk and improving user confidence.
Provided post-go-live functional support by troubleshooting day-to-day operational questions and stabilizing usage during the support phase.

Head of Systems Architecture (Team Lead) at CIMIENTO (2025-02 – 2025-11)

Led a team of 3 engineers with 1:1 coaching and quarterly OKRs, raising delivery predictability and code quality (lint/CI checks) across projects, developing technical and soft skills.
Architected multi-agent AI customer-service solutions (LLMs + DB + REST APIs to Google Workspace/HubSpot/WhatsApp) across 5 clients, lifting late-funnel conversion by 50% and doubling real-estate sales (+200%) within two quarters.
Built end-to-end data products (web scrapers, big-data pipelines, KPI dashboards, tracking webapps) in Python, Node.js, PostgreSQL, Tailwind, REST, reducing reporting latency from 3 h to 10 min max.
Implemented internal process automations that eliminated 10 manual hours/mes in operations and CX analytics; standardized metrics as a single source of truth.
Established CI/CD, observability (structured logs, dashboards, alerts) and coding standards, cutting defect rate in production by 30%.

Process Optimization Engineer at Mars Wrigley (2024-09 – 2025-02)

Automated SAP purchase-order cleansing with Python, cutting problematic orders by 80% and stabilizing upstream BI pipelines across 3 business units.
Deployed Power Apps/Automate for field planning (promoters & sales execs), shrinking the process from 20 h/month to 2 h/month per BI member (~216 h/year extra hours per teammate).
Centralized cross-channel Source-of-Truth datasets for the BI team (Customer Experience), accelerating decision-making and reducing data discrepancies between sales channels by 75%.

Business Intelligence Engineer at Mars Wrigley (2023-04 – 2024-09)

Analyzed incident data to detect trends and root causes; prioritized the top-3 fixes per quarter and reduced repeat tickets by 90%.
Shipped digital assets for the sales organization (field tech control), increasing adoption to +100 users and cutting rework by 50%.
Trained sales teams on tooling and analytics +30 people, raising KPI-driven decision-making in stores.

E-commerce Trainee at L'Oréal (2021-02 – 2022-12)

Owned LATAM social-commerce analytics (sales & KPIs), tracking GMV and performance across +10 brands; optimized weekly Power BI dashboards.
Co-led the 2022 Hot Sale campaign (AMVO-recognized), improving conversion/CTR vs. 2021 by +150% and exceeding Sell-In/Sell-Out goals.
Directed the Privalia process-unification effort for all divisions (pure player), reducing catalog/price update time from 5 h to 90 min and lowering error rate by 20%.

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