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The Delivery Director role focuses on leading complex software and data-driven implementations, requiring strong project management and machine learning expertise. The ideal candidate will have a bachelor's degree and experience in managing cross-functional initiatives. Bilingual proficiency in English and Spanish is preferred. This position offers opportunities for growth in delivery leadership and AI/Data program management.
Job Responsibility:
Lead and manage client implementations, ensuring an exceptional end-to-end experience
Collaborate with stakeholders to groom and prioritize the product backlog
Work with the development team to ensure accurate effort estimation of backlog items
Build project schedules and roadmaps based on estimates and business priorities
Monitor and communicate project status on a regular, clear, and professional cadence
Identify, track, and remove blockers
escalate cross-team dependencies when needed
Ensure that all teams remain aligned on project details, timelines, priorities, and deliverables
Monitor performance against scope, timeline, and budget, ensuring successful project outcomes
Continuously refine and improve workflows, processes, and project management tools
Coordinate workloads and tasks across Data Science and Machine Learning teams
Support planning for data preparation, feature engineering, modeling, and validation stages
Align model development timelines with business and product delivery cycles
Collaborate with ML/DS teams to track dependencies, risks, and required stakeholder input
Support deployment of ML models into production environments, working with engineering teams
Ensure proper documentation, monitoring, and governance for ML-related deliverables
Requirements:
Bachelor’s degree or equivalent experience as a Delivery Manager
Technical background with familiarity across software development lifecycles including Agile
Experience managing complex, cross-functional initiatives and distilling them into actionable plans
Exposure to Machine Learning or Data Science projects — delivery coordination, requirements, or implementation
Strong analytical and communication skills, with the ability to translate technical details for non‑technical stakeholders
Tenacious, self-directed professional who thrives in dynamic, fast-paced environments
Bilingual in English and Spanish preferred
Nice to have:
Previous experience supporting Data Science, ML Ops, or AI-enabled projects
Familiarity with ML model lifecycle processes: development, validation, deployment, monitoring
Experience working with cloud platforms (AWS, Azure, GCP) and data engineering teams
Strong organizational and stakeholder‑management skills
Customer-facing or consulting experience is a plus
What we offer:
Opportunity to work on cutting-edge Data, AI, and ML initiatives
Cross-functional collaboration with engineering, product, and data teams
Growth opportunities in delivery leadership and AI/Data program management