AI Implementation Project Manager

Summary

Im an operations and data-driven professional with over a decade of experience leading service delivery, operational strategy, and data analytics initiatives across fintech, healthcare tech, and customer experience environments. My background includes managing multimillion-dollar call center operations, overseeing technical support workflows, and driving process improvements through data-driven insights.

Ive successfully led multi-team projects that improved operational efficiency by over 25%, built reporting dashboards tracking 30+ KPIs, and implemented AI-powered tools that reduced issue response times by 66%. Ive also conducted risk and compliance assessments for over 200 accounts and partnered with cross-functional teams to resolve complex operational and regulatory challenges.

My career has been built on reliability, operational excellence, and clear, collaborative communication with a consistent focus on using data to drive decisions, improve processes, and deliver measurable business results.

Expectations

In my next role, Im looking for an opportunity where I can meaningfully contribute to operational excellence through data analytics, process optimization, and cross-functional collaboration. I hope to join a team that values reliability, clear communication, and continuous improvement, where I can leverage my experience managing operational workflows, building data-driven reporting tools, and optimizing business processes.

Im excited to work in a fast-paced, high-growth environment where innovation and operational reliability go hand-in-hand. Additionally, I look forward to expanding my technical skills particularly in areas like data infrastructure, automation, and AI-enhanced operations while contributing to a mission-driven organization committed to improving outcomes for both internal teams and external customers.

Employment Preferences

Spoken Languages

  • English - Fluent
  • Spanish; Castilian - Beginner
Expected Base Salary

**5,000 USD

Expected Hourly Rate

** USD/hr

Academic Degree
Experience

Total Professional Experience

7 years

Startup Experience

5 years

Big-Tech Companies

7 years

Enterprise Experience

7 years
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