PE - Data Science Program Manager - 232

Job Description

We are seeking a senior Data Science Program Manager to drive delivery across multi-regional data science, MLOps and engineering workstreams. This role is critical to meeting tight program milestones, coordinating cross-functional teams, and translating technical progress into clear status for leadership.

You will operate at the intersection of data science and engineering, enabling execution without slowing teams down. This is an opportunity to lead distributed initiatives, resolve cross-team blockers, and improve program-level visibility across LATAM, US, India and Spain teams.

Responsibilities

• Coordinate 3–4 concurrent workstreams (data science, MLOps, engineering, front-end/back-end) and track progress against tight delivery timelines.
• Align internal data science teams (Mexico, India, Spain, US) with partner S&T/engineering organizations.
• Identify cross-functional blockers and drive proactive resolution to maintain schedule.
• Represent the data science team in frequent S&T-led working sessions and executive updates.
• Serve as primary liaison between data science teams, engineering/S&T teams and internal leadership.
• Manage meeting cadence, follow-ups, execution tracking and action ownership.
• Translate technical progress and risks into clear, concise status updates for stakeholders.
• Ensure teams receive required data inputs, meet deliverables and coordinate dependencies.
• Establish and manage workstreams, coordination processes and cross-team communication flows.
• Drive accountability and orchestrate cross-team workflows without impeding execution velocity.

Requirements

• 5–10 years of experience in Program Management or Delivery Management within Data / AI / Analytics environments.
• Proven experience managing multi-team, distributed data initiatives.
• Not Hands-On, but must understand Data Science workflows, Machine Learning lifecycle, MLOps concepts (CI/CD, deployment pipelines) & Data engineering pipelines, Azure DevOps (ADO) / Azure.
• Strong ability to follow technical conversations, ask intelligent questions and identify gaps and risks.
• Demonstrated stakeholder management skills across cross-regional teams.
• Fluent in Spanish and English.
• Based in LATAM (Mexico, Colombia, Argentina or similar time zone) and able to operate within US/Mexico business hours (±2 hours).

Nice to Have

• Experience in Retail / CPG or sales transformation (go-to-market analytics, RGM, pricing, ordering).
• Prior exposure to LATAM market operations and cross-regional team coordination.
• Experience working with external vendors or consulting teams.