Vice President, Development Effectiveness

Description

"Lead the continuous improvement of software development execution by driving accountability, enhancing engineering practices, improving delivery predictability, and ensuring technology initiatives are completed efficiently, consistently, and with high quality."

The VP of Development Effectiveness is responsible for ensuring technology initiatives are executed effectively, development teams operate efficiently, and software engineering practices continuously improve. This role drives accountability for delivery, removes organizational obstacles, establishes best practices, and creates a culture of continuous improvement across development teams. They bridge the gap between business strategy and engineering execution, ensuring that development life cycles are efficient, modern, and aligned with overall corporate goals.

• Lead the execution of strategic technology initiatives and development projects by aligning priorities, coordinating teams, and maintaining focus on measurable delivery outcomes.
• Drive timely, in-scope project delivery while ensuring outcomes meet established quality standards and business expectations.
• Maintain executive visibility into team commitments, delivery milestones, risks, dependencies, and decision points.
• Proactively remove delivery roadblocks and escalation critical issues that could affect timelines, scope, or quality.
• Establish clear ownership and accountability for project outcomes across development teams and supporting stakeholders.
• Align software development priorities with enterprise strategy to ensure technology investments support business objectives and deliver measurable return on investment.

• Define and continuously refine software development methodologies that improve execution consistency, delivery quality, and team effectiveness.
• Standardize development practices across teams to promote repeatable execution, shared expectations, and scalable delivery discipline.
• Strengthen planning, estimation, sprint execution, and release management processes to improve predictability and reduce delivery variability.
• Accelerate adoption of Agile, Dev Ops, CI/CD, automation, and modern engineering practices to reduce bottlenecks, improve release speed, and strengthen delivery scalability.
• Use data-driven metrics to evaluate development efficiency, identify improvement opportunities, and guide continuous process optimization.
• Establish AI-enabled development practices with appropriate governance, controls, and measurement frameworks to assess cost, effectiveness, and business value.

• Establish and enforce engineering standards for coding practices, peer reviews, automated testing, and release readiness.
• Improve software quality, reliability, scalability, and maintainability through disciplined engineering practices and continuous feedback loops.
• Reduce technical debt through structured assessment, prioritization, remediation planning, and sustained execution discipline.
• Promote secure development practices and compliance alignment by embedding security, privacy, and regulatory requirements into the development lifecycle.
• Serve as the relationship owner for offshore development partners including the build out of the appropriate monitoring and improvement programs to improve our leveraging of these relationships.

• Develop and mentor development managers, technical leads, and engineering teams to strengthen leadership capability and execution effectiveness.
• Foster a high-accountability culture grounded in ownership, continuous learning, collaboration, and measurable improvement.
• Align team priorities, goals, and capacity with organizational objectives to ensure development resources are focused on the highest-value outcomes.
• Support staffing strategy, performance management, talent development, and succession planning to build resilient and scalable engineering teams.
• Strengthen collaboration across development, infrastructure, security, product, and business stakeholders to improve alignment, execution speed, and shared accountability.
• Advance talent development and engineering culture by strengthening technical upskilling, team management practices, collaboration, and sustained high-performance expectations.

• Define, monitor, and communicate key engineering performance indicators that provide visibility into execution health, delivery effectiveness, and continuous improvement progress.
• Delivery predictability and commitment reliability
• Sprint velocity, throughput, and capacity utilization
• Defect trends, escape rates, and quality performance
• Production stability, incident frequency, and recovery performance
• Deployment frequency, release cadence, and automation maturity
• Lead time for changes and end-to-end delivery cycle time
• Technical debt reduction and modernization progress
• Tracking Key Performance Indicators (KPIs) such as cycle time, deployment frequency, mean time to…