• Contribute to the design and delivery of integration solutions and consulting for large enterprises • Lead technology teams with a results-driven focus • Monitor and collect team productivity metrics • Ensure efficiency and effectiveness in project deliveries • Promote an agile culture and continuous development of the team

• Provide personalized support by addressing learner questions related to course content and projects. • Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with. • For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners. • For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects. • Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

• Provide personalized support by addressing learner questions related to course content and projects. • Prior to the call mentors are expected to review the students' previous project submission(s) - provided by the Mentor Success Team when available - and/or any specific areas of the Nanodegree content or project that the student has expressed confusion or difficulty with. • For concept deep-dives, mentors will come prepared with a slide presentation that reviews a Nanodegree concept in more detail, share different use-cases for the concept to broaden student perspectives and understanding, and hold a Q&A session with the learners. • For project walkthroughs, a mentor will come prepared with a slide presentation that outlines each element of the rubric to help learners understand expectations and typical problem areas they may encounter. This can include a mentor “grading” a sample submission to demonstrate what mentors are looking for when reviewing projects. • Host regular sessions (via Slack or video) to address learner queries related to projects and coursework. No prior preparation required.

• Own end-to-end managed service operations across regions, delivering recurring, programmatic services that combine process-driven execution with domain-led analysis and insight. • Design and operate scalable, technology-enabled delivery models that integrate digital platforms, AI-assisted workflows, and globally distributed service teams. • Build, scale, and lead delivery centers in Colombia and the Philippines, establishing structured operating rhythms, knowledge-based workflows, and capacity models aligned to long-term client programs. • Orchestrate resource allocation, delivery handoffs, escalation paths, and service continuity across multi-disciplinary teams performing both operational and analytical work. • Define and own KPIs spanning service performance, cost efficiency, margin, quality, client satisfaction, talent development, and scalability. • Partner with HR on hiring, onboarding, and capability development, including training teams to execute standardized processes while applying technical judgment and subject-matter expertise. • Work cross-functionally with Digital, Advisory, Growth/Sales, Finance, and Operations leadership to align platforms, expertise, and delivery models into a cohesive, scalable service offering. • Lead through influence in a global, matrixed organization and foster a culture of accountability, continuous improvement, and operational discipline. • Partner with Digital teams to deploy and operationalize AI-enabled capabilities that enhance both transactional efficiency and knowledge-driven outputs (e.g., automated validation, analytics augmentation, insight generation). • Embed automation into repeatable workflows while enabling experts to focus on interpretation, exception handling, and value-added analysis. • Establish human-in-the-loop delivery models that balance scale, accuracy, and professional judgment. • Drive continuous improvement using data-driven methodologies drawn from both digital operations and scaled service environments, increasing throughput, consistency, and quality without proportional cost growth.