Director, Enterprise Data and AI

Hace 1 día

Mexico City Institute for Study Abroad, Inc. Jornada completa

Salary Range: MX$1,300,000.00 To MX$1,400,000.00 Annually

Director, Enterprise Data and AI

Contract Type: Full-time, Regular

Salary: 1,300,000 MXN (Annually, 13.5 salaries, gross amount).

Benefits: Enjoy flexible work arrangements and an appreciation for work/life balance, as well as support for professional development.

Reports to: VP of Marketing & Engagement, based in Florida USA

Position Overview

Are you a life-long learner, curious about the world around you?

Are you passionate about inclusion and the profound impact of global learning?

Are you ready to bring your unique skills to a mission-driven organization?

If so, we would love to welcome you to our global community as Director of Enterprise Data and AI

We are seeking a technically fluent, strategic leader to own the end-to-end development of our enterprise first-party data lake. This asset will power executive dashboards, operational reporting, and AI-driven customer intelligence developed by our internal Applied Code Lab. Data-driven decision-making requires clean, governed data from a single source of truth.

This role does not write production code 40 hours per week, but you must have the hands-on background to roll up your sleeves and get into the weeds when needed. You will validate complex SQL, debug failing pipelines, perform deep-dive code reviews, and unblock technical bottlenecks that would stall a non-technical manager.

You will bridge the gap between our external, executive Advisory Board (a group of senior IT Architects and experts), our external contractor development team, and our internal business stakeholders. This role is built for a leader who refuses to lose their technical edge while stepping into a strategic commercial seat, identifying technology solutions that support the business needs. You report directly to the VP of Marketing and Engagement and will work in close partnership with departmental leaders across our organization.

The Institute for Study Abroad (IFSA) was founded in 1988 as aproviderofstudy abroadprogrammingfor U.S. undergraduates.

With student success in mind, the organization creates global learning environments designed to foster the development of critical perspectives, knowledge and skills essential for students to thrive in the future. Offering more than 100 programs in 19 countries, we draw upon theory and evidence-based practice to create a variety ofprogrammodels and flexible academic options in alignment with the needs of partners and students. Our commitments to inclusive excellence , intercultural agility , individualized learning and enduring impact are present in every aspect of our programs. We are committed to building an inclusive and equitable organization and we look for positive-minded, adaptable people from diverse communities and cultures to help us transform our sector and change the lives of the students we serve.

In this position, your responsibilities would include:

  • Develop and execute IFSA's enterprise data, analytics, and AI strategy, including scaling the organization's data lake from pilot to enterprise adoption and defining future-state capabilities.
  • Lead the design, implementation, and ongoing evolution of a centralized data lake integrating CRM, marketing automation, web, event, financial, and operational data sources.
  • Establish and oversee enterprise master data management, identity resolution, and system-of-record standards, ensuring consistent and reliable data across all platforms.
  • Lead CRM transformation initiatives, including migration from Salesforce and HubSpot to future-state CRM solutions, ensuring successful data migration, integration, and user adoption.
  • Design and implement AI-enabled workflows for data cleansing, validation, transformation, migration, monitoring, and business process automation while establishing AI governance, security, and auditability standards.
  • Develop and maintain enterprise data governance frameworks, including data quality controls, data definitions, metadata management, privacy compliance, and stewardship practices.
  • Establish automated reconciliation, validation, testing, and monitoring processes to ensure data accuracy, integrity, and consistency across CRM, marketing, web, and reporting systems.
  • Serve as the senior technical authority for data architecture and engineering, providing oversight of data models, integrations, SQL development, performance optimization, and deployment standards.
  • Manage external development partners, consultants, and contractors using Agile delivery methodologies, ensuring adherence to project requirements, documentation standards, testing protocols, and knowledge transfer expectations.
  • Partner with executive leadership, business stakeholders, and advisory board members to align technology initiatives with organizational goals and