Lead Enablement Engineer

Own, drive, and create comprehensive training programs (self-service and instructor-led) for our clients Software Development Lifecycle re-vamp (SDLC with AI integration), serving as the definitive resource for software delivery practices across the organization. Additionally, work collaboratively with other members of the Enablement team, Engineers, and customers to develop AI-driven solutions as tools and processes rapidly evolve, ensuring these innovations are seamlessly incorporated into training programs. \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Core Responsibilities Program Development & Ownership • Own end-to-end SDLC training program from conception through delivery and continuous improvement • Design comprehensive curriculum covering SDLC best practices, AI integration, tools, processes, and standards for multiple training formats (self-service, instructor-led, hands-on labs) • Build and maintain centralized training repository with examples, exercises, best practices, knowledge glossary, and tool guides • Establish learning paths for new hires and existing employees at varying technical proficiency levels AI Enablement & Solution Development • Collaborate with Enablement team, Engineers, and customers to identify needs and develop AI-driven SDLC solutions • Prototype and validate solutions as AI tools and processes evolve throughout the year • Demonstrates strong engineering taste and product judgment—discerning what to build (which automations truly add value), how to build it (balancing simplicity with sophistication), and the ability to communicate these decisions with clarity to both technical and non-technical stakeholders. • Apply problem-solving skills to address technical challenges in AI tool adoption and integration • Bridge the gap between emerging AI capabilities and practical implementation in SDLC • Rapidly incorporate new solutions into training materials and delivery as they are developed • Serve as technical advisor on AI tool selection, implementation patterns, and best practices Content Creation & Stakeholder Collaboration • Develop instructional materials including presentations, videos, documentation, interactive exercises, and hands-on labs reflecting current and emerging practices • Identify and engage subject matter experts across technology teams to contribute and validate content • Consult with technical leaders and engineers to understand processes, pain points, training needs, and solution opportunities • Build organizational relationships to gather input, secure buy-in, and promote adoption • Maintain content currency as SDLC practices, AI tools, and technologies evolve rapidly Training Delivery • Facilitate instructor-led training sessions for technical and non-technical audiences • Present to groups ranging from small teams to large organizational audiences • Adapt delivery style based on audience size, technical level, and learning objectives • Manage classroom dynamics including Q&A, discussions, and hands-on activities • Provide technical demonstrations of tools, processes, and best practices Program Management • Develop project plans with timelines, milestones, and deliverables for both training and enablement initiatives • Manage priorities and deadlines to ensure timely delivery of training materials and sessions • Track and measure training effectiveness through assessments, feedback, and performance metrics • Report on program progress and outcomes to leadership and stakeholders • Continuously improve training based on feedback, changing needs, and emerging technologies \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Required Skills Technical Knowledge & Development Background • Strong SDLC expertise including Agile, DevOps, CI/CD pipelines, version control (Git), testing strategies, and deployment practices • Developer background with hands-on software development experience and coding proficiency • AI integration in SDLC including AI-powered development tools (eg: AWS Kiro cli) • Capability to identify and correct low-quality AI-generated content • Solution development experience working with cross-functional teams to build and implement technical solutions • Deep understanding of development tools, cloud technologies, and deployment platforms • Advanced problem-solving skills to troubleshoot complex technical challenges and design innovative solutions Instructional Design & Training Delivery • Curriculum development and adult learning principles • Experience with multiple training modalities (self-paced, instructor-led, blended) • Ability to rapidly update training content as solutions and tools evolve • Assessment design and measuring learning effectiveness • Content creation tools (video editing, documentation tools, presentation software) Communication & Interpersonal Skills • Confident public speaking and presentation to technical audiences of varying sizes • Ability to explain complex technical concepts clearly across organizational levels (engineers, customers, leadership) • Stakeholder management and influence without authority across Enablement teams and engineering groups • Strong written communication and documentation skills • Technical credibility to engage meaningfully with engineering teams on solution development Collaboration & Enablement • Cross-functional collaboration experience working with Enablement teams, engineering, and end-users • Ability to gather requirements and translate customer needs into practical solutions • Experience in iterative solution development and rapid prototyping • Comfortable working in fast-paced, evolving environments with emerging technologies • Partnership mindset to co-create solutions rather than just document existing processes Project Management & Personal Attributes • End-to-end project ownership with strong organizational and prioritization skills balancing training and enablement work • Self-starter who drives initiatives independently in ambiguous environments • Intellectually curious and technically fluent with continuous learning mindset • Highly adaptable and resilient in handling feedback and changing priorities as AI landscape shifts • Agile problem solver who can pivot quickly as new tools and techniques emerge \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Experience Preferred Qualifications • 5+ years in software development with demonstrated SDLC expertise • 5+ years in technical training development and delivery • Experience working on enablement initiatives or internal developer tools/platforms • Track record of building training programs from scratch • Experience in financial services or regulated industries (preferred) • Proven ability to learn and adopt new technologies rapidly Education • Bachelor’s degree in Computer Science, Information Technology, Software Engineering, or related technical field • Certifications in instructional design, adult learning, or training delivery (e.g., ATD, CPTD) – preferred • Technical certifications related to SDLC tools or practices – preferred \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Success Metrics The Person In This Role Will Be Evaluated On • Training completion rates and participant engagement • Knowledge retention measured through assessments and practical application • Feedback scores from training participants and stakeholders • Program adoption across new hires and existing employees • Solution development contributions and successful implementation of AI enablement initiatives • Time-to-productivity improvements for new developers • Content currency and rapid update cycle as practices evolve • Stakeholder satisfaction with training quality, relevance, and enablement support • Delivery consistency and schedule adherence for instructor-led sessions • Engineering team satisfaction with enablement collaboration and technical contributions \_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_\_ Working Relationships Reports to: Head of Engineering Enablement Collaborates With • Software engineering teams and architects • DevOps tooling and platform engineers • Security and compliance teams • Product management • Internal customers/end-users of SDLC tools and processes • HR and organizational learning & development • AI/ML/SE centers of excellence #Dice