Responsibilities:
- Lead data and analytics projects using Agile techniques and methodologies.
- Manage end-to-end delivery of global data warehouse and analytics initiatives using agile frameworks (Scrum, Kanban, etc.), ensuring iterative delivery and continuous improvement.
- Collaborate with business leaders, product owners, data architects, and engineering teams to define project scope, objectives, and success metrics.
- Oversee the creation, prioritization, and maintenance of the product backlog in partnership with the product owner. Facilitate requirement gathering, user story refinement, and acceptance criteria definition.
- Organize and lead sprint planning, daily stand-ups, sprint reviews, and retrospectives. Track progress toward sprint goals and manage barriers to delivery.
- Guide and motivate distributed project teams comprising data engineers, analysts, QA, and other specialists. Foster a culture of collaboration, transparency, and accountability.
- Identify, assess, and proactively manage project risks and issues. Communicate status, dependencies,



and mitigation strategies to stakeholders.
- Champion agile best practices, process optimization, and innovation within the data and analytics organization.
- Deliver regular project status updates, dashboards, and executive summaries to integral stakeholders and leadership.
- Support organizational readiness and adoption of new data solutions through effective change management and training initiatives.
- Guide and assist internal and vendor development teams.
- .Assist in managing platform and delivery vendors. Stay current with platform innovations and actively seek opportunities to adopt new features.
- Model the Corporate Values (Integrity, Passion, Creativity, Perseverance and Achievement) and Principles- Qualifications:
- 10 years experience in data and analytics delivery roles, with a minimum of 5 as project or program manager. Experience with enterprise data warehouse development.
- Demonstrated stron

📌 Global Data Project Manager (Guadalajara)
🏢 Multi-Color
📍 Guadalajara