- Drive AI adoption and transformation within engineering and more broadly across ITP, CSS, CSU, and MCAPS, modeling AI-first ways of working and scaling the AI tools, agents, and practices that change how teams work and serve customers. - Own a clearly defined portfolio and establish measurable objectives for customer value, business performance, service health, engineering effectiveness, and organizational capability. - Allocate Innovation ("spike") and production engineering squads, plus a shared Tech Ops function, across ITP's delivery, strategy, and disruption priorities so each gets the engineering capacity its stage of work needs. - Lead, coach, and grow an organization of engineering managers, architects, and engineers, establishing clear accountability while empowering leaders to make effective decisions. - Translate long-term business and technical strategies into roadmaps, milestones, resource plans, and measurable customer and business outcomes. - Guide architecture and engineering investments. - Partner closely with OCTO and ITP's Partner Architects to uphold acceptance standards for partner-built engineering and AI systems, keeping the engineering portfolio coherent across every planning horizon. - Remain directly engaged in critical architecture and design reviews, major technical tradeoffs, security and privacy decisions, and the response to the most consequential live-site incidents. - Drive engineering excellence across design, development, testing, deployment, monitoring, incident response, and ongoing service operations. - Champion security, privacy, accessibility, responsible AI, compliance, reliability, performance, and quality throughout the product lifecycle. - Build strong partnerships with customers and partners, incorporating their needs and feedback into product strategy and engineering priorities. - Make portfolio and investment decisions, manage technical and operational risks, and balance near-term delivery with long-term platform health and innovation. - Communicate strategy, progress, risks, and decisions clearly to senior executives, customers, partners, and the broader organization. - Attract, retain, and develop diverse leadership and engineering talent while strengthening succession plans and organizational capability. - Own workforce strategy, leadership succession, organizational design, capacity planning, and budget or investment allocation for the engineering portfolio. - Foster an inclusive culture grounded in customer obsession, growth mindset, accountability, collaboration, and continuous learning. Bachelor's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. Master's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR Bachelor's Degree in Computer Science or related technical field AND 12+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python OR equivalent experience. 4+ years people management experience, including leading engineering managers and delivering results through multiple teams. Demonstrated experience as a leader of leaders, including setting expectations for senior managers, developing leadership capability, managing performance, and maintaining succession plans for business-critical roles. Experience defining and executing product and technical strategy for a complex, business-critical portfolio. Demonstrated success delivering secure, reliable, high-quality products or services at significant scale. Experience leading engineering teams in AI-first development practices, such as AI-assisted coding, agentic workflows, and AI-driven testing, code review, and operations. Demonstrated ability to lead organizational AI transformation while maintaining delivery commitments and service health. Experience making engineering investment decisions, managing organizational and technical risk, and operating effectively in ambiguous environments. Demonstrated ability to embrace change, push boundaries, and continuously improve how teams work and operate. Demonstrated ability to influence senior leaders and align stakeholders across organizational and functional boundaries. Proficient Executive-level written and verbal communication skills. Experience leading a globally distributed engineering organization and developing senior engineering leaders. Experience managing a portfolio spanning multiple products, platforms, services, or technical disciplines. Prior engineering leader or equivalent experience with direct accountability for a significant engineering portfolio, organizational operating model, investment decisions, and measurable customer or business outcomes. Experience applying AI and automation to improve customer experiences, engineering productivity, and operational performance. Experience partnering directly with enterprise customers, strategic partners, regulators, or external industry leaders. Proficient Business judgment, including experience with portfolio planning, workforce planning, budgeting, and prioritization. Track record of building inclusive, accountable, and high-performing organizations.