AVP, Delivery Practices

JOB DESCRIPTION

The AVP, Delivery Practices Lead is responsible for shaping how AI-enabled tools, methods, and ways of working are incorporated into the software development lifecycle across the Transformation & Delivery Office (TDO).

This role leads the design, implementation, and adoption of modern delivery practices that reflect how AI will change the way teams plan, analyze, design, build, test, document, and support technology solutions over time.

This leader will help define the future state of delivery practices for the TDO, with a focus on improving speed, quality, consistency, and productivity while maintaining appropriate discipline, controls, and business alignment.

The role partners closely with business architecture, business analysis, program delivery, quality assurance, technology, and governance teams to ensure AI-enabled delivery practices are practical, scalable, and effectively adopted across the organization.



*The title and career band/level for this position are flexible based on the candidate's experience.

Key Responsibilities

AI-Enabled Strategy


* Define the future-state software development lifecycle for the TDO, with a focus on how AI will reshape planning, requirements development, solution design, testing, delivery execution, documentation, and support.


* Identify opportunities to improve speed, quality, and efficiency through responsible use of AI-enabled tools and practices.


* Develop a roadmap for introducing AI-enabled SDLC capabilities over time, balancing innovation with practicality, adoption readiness, and delivery needs.


* Partner with senior leaders to align AI-enabled delivery practices to broader transformation goals, modernization priorities, and business outcomes.

Delivery Practices & Standards


* Establish standards, playbooks, and guidance for how AI should be incorporated into delivery practices across the TDO.


* Define practical ways of working using AI across the lifecycle, including business analysis, requirements, design, documentation, testing support, and other delivery activities.


* Ensure AI-enabled practices complement existing agile, waterfall, and hybrid delivery models.


* Promote consistent methods that improve repeatability, transparency, and execution quality across teams.

Tooling & Workflow Enablement


* Evaluate and help guide the adoption of AI-enabled tools that support delivery teams across the SDLC.


* Partner with technology and governance teams to define how AI tools should be used within approved workflows, controls, and delivery environments.


* Support common patterns for integrating AI into team routines, templates, documentation practices, and execution processes.


* Help ensure teams understand where AI adds value, where human judgment remains essential, and how outputs should be reviewed and validated.

Adoption & Capability Building


* Lead the adoption of AI-enabled delivery practices through training, co...