Engineering Director

• Oversee the Puerto Rico Site daily operations, strategic planning and cross-functional team leadership for Hybrid Cloud
• Recruit, mentor, and manage teams of AI/ML engineers, QA Engineers, Design Engineers and innovation specialists to deliver cutting-edge solutions
• Continuously evaluate new tools, platforms, and frameworks in AI/ML to drive competitive advantage and operational efficiency
• Ensure alignment with corporate goals while fostering a high-performance culture, operational efficiency, and employee engagement
• Lead the development and execution of AI/ML strategies that align with business goals and drive innovation across products, services, or operations
• Create strategic and tactical operations and resource plans, goals, and priorities for assigned organization based on business and technology roadmap and functional objectives
• Engage with various senior leaders across the organization, program managers, R&D, support, Quality, product managers, technical leaders and executives to communicate program status, escalate issues, and guide and influence strategic decision-making
• Manage senior relationships and escalated issues with outsourced partners and suppliers, including setting expectations regarding deliverables, product quality, schedules, and costs
• ensures that organization is effectively leveraging outsourced resources
• Identify opportunities for and drive organizational initiatives and programs to support business process improvements and cost reductions
• Provide overall people-care management for direct reports, including hiring, setting and monitoring of annual performance plans, coaching, and career development
• drives and fosters organization-wide performance standards, expectations, and practices to support ongoing team member and process development

• Significant work experience as a director or similar position working across multiple stakeholder organizations, with at least 10+ years of people leadership experience specific to SW and Cloud engineering
• Solid experience leading SW development across storage, networking, on-prem, and SaaS is a must
• Experience in setting up geographically distributed sites
• Must have a strong background in software development lifecycle including cloud infrastructure
• Familiarity with agile methodologies and tools like JIRA
• Prior experience in cloud product development and deployments
• end to end ownership and accountability
• Solid understanding of fundamental AI and machine learning concepts, including supervised and unsupervised learning, deep learning, reinforcement learning, natural language processing, computer vision, and statistical modeling
• Extensive business acumen, technical knowledge, and industry experience encompassing one or more engineering, technology, and product domains
• Demonstrated abilities to drive transformation across a business with exceptional skills in the management of change
• Strong leadership skills, including coaching, team building, and conflict resolution
• Advanced relationship management skills, including partnering and consulting with senior management and executive roles for internal and external partners
• Proficiency in data visualization tools and techniques to analyze and present insights gained from AI and machine learning models
• Familiarity with software engineering principles, version control systems (e.g., Git), testing methodologies, and agile development practices is valuable
• Stay up to date with the latest advancements in the field, follow research papers, attend conferences, and contribute to the AI community
• First level university degree or equivalent experience required, electrical or computer engineering preferred
• May have advanced university degree
• Typically, 15 or more years of related work experience, including 10 years of people management experience

Accountability, Action Planning, Active Learning (Inactive), Active Listening, Agile Methodology, Agile Scrum Development, Analytical Thinking, Bias, Coaching, Creativity, Critical Thinking, Cross-Functional Teamwork, Data Analysis Management, Data Collection Management (Inactive), Data Controls, Design, Design Thinking, Empathy, Follow-Through, Group Problem Solving, Growth Mindset, Intellectual Curiosity (Inactive), Long Term Planning, Managing Ambiguity

• Health & Wellbeing
• Personal & Professional Development
• Unconditional Inclusion