About the Role
In this role, you will direct software and agentic AI development, delivery, and support efforts for highly scalable, high-performing AI agent solutions across the Product-to-Market (P2M) value stream, in an Agile work environment, and produce and deliver code and/or test cases using Agile practices. You will provide leadership and direction to technical managers, architects, agent engineers, quality assurance engineers, developers, and other technologists in resolving critical production issues to help simplify and improve business processes through agentic AI and automation. You are a technical expert and will lead through the requirements gathering, design, development, evaluation, deployment, and support phases of a product. You will establish operational objectives and assignments for managers across related departments or functional units.## What You'll Do
- Leads and influences the vision of the product by contributing to software and agentic AI design and architecture that result in high-performing, reliable technology
- Develop and enhance software and AI agents to solve complex business problems where analysis of situations requires an in-depth knowledge of the company, keeping customer and business-user experience at the forefront
- Lead and model a DevOps mindset by applying automation, continuous integration, continuous delivery, and evaluation-gated release practices in everything we do
- Foster innovation acting as a change agent to support business growth, reduce operational costs, and improve service levels by applying best practices and learning from emerging AI and agentic technologies
- Provide engineering leadership, collaborating and influencing at senior levels
- Thought leader, contributing to the development of methods, techniques, and evaluation criteria for projects, programs, and people in projects and assignments of diverse scope
- Lead and facilitate teams — including a mix of FTE and contractor talent — creating a highly collaborative environment
Who You Are
- Experience leading teams, including establishing organizational goals aligned with product vision to achieve business success
- Strong communication skills with proven ability to guide senior levels and cross-functional teams, both internal and external, including delivery and vendor partners
- Possesses deep technical knowledge and years of software development experience, including delivering large-scale applications, continuous integration/delivery practices, and production AI/agentic systems
- Expert knowledge of modern software and AI platforms and languages such as Python, cloud-native AI/agent platforms (e.g., Google Cloud / Vertex AI), and emerging agentic frameworks and trends
- Strategic thought leader and problem solver who can lead through others, developing creative solutions
- 12+ years in technology/data program delivery, including 5+ years at a senior delivery-leadership level with direct people management
- Demonstrated ownership of a business transformation, not just a technology rollout — accountable for outcomes and adoption, not shipped features
- Experience delivering through a phase-gated or maturity-staged model across multiple parallel workstreams
- Rigorous dependency and risk management across parallel, interdependent teams; comfortable holding a quality gate even under schedule pressure
- Fluency running mixed internal/vendor delivery models, including managed-service-provider relationships, with clear standards for what stays in-house versus what's outsourced
- Budget ownership — program financials, headcount planning, and the internal approval processes that come with a function this size
- Enough technical fluency in agentic/AI delivery to hold engineering accountable without needing to be hands-on
- Strong risk-forward reporting discipline — surfaces problems plainly and early rather than softening status for senior audiences
Preferred qualifications
- Retail, merchandising, or P2M value-chain domain exposure; ability to sit credibly with brand and merchant stakeholders
- Prior experience specifically with agentic or generative-AI delivery lifecycles, as opposed to traditional software delivery
- Experience standing up or scaling a global capability center / offshore delivery model
- Change-management or adoption-driving experience for a business transformation
Required education
- Bachelor's degree in Computer Science, Information Systems, Engineering, Business Administration, or a related field, or equivalent practical experience. At this level, 12+ years of progressively senior delivery leadership with demonstrated program ownership can substitute for the specific degree requirement.Preferred: MBA or Master's degree in a technical or business discipline; formal program/delivery credentials (e.g., PMP, SAFe) are a plus, not a substitute for the experience bar.
