MACHINE LEARNING

• Model Development: You innovate on ML approaches for novel problems, shape ML strategy across the business unit, contribute to the field through research or publication, and are recognized as an ML authority.
• Model Fine-Tuning: You innovate on fine-tuning approaches for novel problems, shape model customization strategy across the business unit, contribute to the field, and are recognized as a fine-tuning authority.
• Retrieval Augmentation: You innovate on RAG architectures for novel problems, shape RAG strategy across the business unit, contribute to the field through research or tooling, and are recognized as a RAG authority.

BUSINESS

• Business Immersion: You are a recognized thought leader in your domain. You influence domain strategy across the business unit, exemplify the business immersion mindset that defines forward-deployed engineering, and shape how engineering engages with the business.
• Stakeholder Management: You shape stakeholder practices across the business unit. You manage executive relationships, represent engineering at the highest levels, and are recognized for exceptional stakeholder partnerships.

PEOPLE

• Multi-Audience Communication: You shape communication practices across the business unit. You represent engineering externally, communicate at board and executive level, and are recognized as an exceptional communicator who bridges any audience gap.
• Team Collaboration: You create collaborative culture across the business unit. You transform dysfunctional team dynamics, are recognized for building exceptional teams, and mentor others on collaboration excellence.

ROLE BEHAVIOURS

• Don't Lose Your Curiosity: Shapes organizational culture around curiosity and continuous learning; sponsors experimental initiatives across the organization; recognized externally as a thought leader in problem discovery; influences industry practices around innovation and exploration
• Own the Outcome: Defines organizational accountability standards focused on business impact; shapes industry practices around outcome ownership in the AI era; sponsors transformational initiatives with full outcome accountability; recognized externally for ownership culture leadership
• Be Polymath Oriented: Champions cross-disciplinary learning; creates holistic solutions spanning technical and business domains; embodies the Renaissance Developer ideal; translates specialized knowledge into accessible explanations; thinks like a business insider
• Communicate with Precision: Creates spec-driven development practices; mentors others on precise communication; spans C-level executives to frontline workers; drives clarity as a core value across their function; represents the organization externally
• Think in Systems: Shapes systems design practices across their function; conducts chaos engineering experiments; influences cross-team architecture decisions; creates clarity from complexity; bridges technical systems with business processes

QUALIFICATIONS:

• Bachelor's degree in Computer Science, Engineering, or related field with extensive relevant experience.
• Deep technical expertise with a proven track record of organization-wide technical leadership.

EXPERT-LEVEL SKILLS

• Business Immersion: You are a recognized thought leader. You influence strategy across the business, exemplify the business immersion mindset that defines engineering, and shape how engineering engages with the business.
• Data Integration: You define data integration patterns and best practices. You architect large-scale data flows, solve the most complex integration challenges, and are the authority on enterprise data integration.
• Full-Stack Development: You work comfortably in any language and rapidly acquire new skills as needed. You deliver production solutions in days not months, shape full-stack practices and exemplify polymathic engineering.
• Multi-Audience Communication: You shape communication practices. You represent engineering externally, communicate at board and executive level, and are recognized as an exceptional communicator who bridges any audience gap.
• Problem Discovery: You shape approaches to problem discovery. You are recognized for transforming ambiguous situations into clear opportunities, influence how teams engage with business problems, and are the go-to person for the most undefined challenges.
• Rapid Prototyping & Validation: You shape culture around rapid validation and iterative delivery. You are recognized for transformative fast delivery, define standards for prototype-to-production, and exemplify the "deliver in days" mindset.
• Stakeholder Management: You shape stakeholder practices. You manage executive relationships, represent engineering at the highest levels, and are recognized for exceptional stakeholder partnerships.
• Team Collaboration: You create collaborative culture. You transform dysfunctional team dynamics, are recognized for building exceptional teams, and mentor others on collaboration excellence.

PRACTITIONER-LEVEL SKILLS

• AI Evaluation & Verification: You lead AI governance initiatives across teams in your area, create evaluation standards and checklists, and train engineers on rigorous AI verification. You design review processes for AI-assisted work.
• AI Literacy: You guide AI adoption decisions across teams in your area, assess AI risks and benefits systematically, and train engineers on responsible AI usage. You design human-in-the-loop workflows.
• AI-Augmented Development: You optimize AI tool usage across teams in your area, train engineers on AI-augmented workflows, evaluate new AI development tools, and establish practices that balance AI speed with verification rigor.
• Architecture & Design: You design complex multi-component systems end-to-end, evaluate architectural options for large initiatives across teams, guide technical decisions for your area, and mentor engineers on architecture. You balance elegance with delivery needs.
• Code Quality & Review: You establish and enforce quality standards across teams in your area. You mentor engineers on effective code review, ensure verification depth for AI-assisted development, and drive testing strategies.
• Developer Experience: You lead developer experience initiatives across teams in your area. You design comprehensive self-service platforms, establish DX metrics, conduct systematic user research, and mentor engineers on platform-as-product thinking.
• Knowledge Management: You lead knowledge management initiatives across teams in your area, create knowledge systems and taxonomies, establish practices that make institutional knowledge persistent, and mentor others on knowledge sharing.
• Pattern Generalization: You lead pattern generalization initiatives across teams, define criteria for when to generalize vs keep custom. You mentor engineers on abstraction design.
• Service Management: You lead service management practices for multiple services across teams, optimize service portfolios for your area, balance service investments, and train engineers on