Vice President of Development

Job Title:

VP of Development Effectiveness

Location:

Westlake, OH / Onsite Salary: $175k - $220k annually (The pay range may be negotiable based on experience, education, geographic location, and other factors) Duration:
Direct Hire

Job Description:

Duties and responsibilities

• Delivery Leadership: 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 elevate 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.
• Development Process Improvement: 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.
• Engineering Quality: 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.
• Team Leadership: 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.
• Performance Measurement: 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 recovery (MTTR), and defect rates to measure and improve team output.
• Provide regular…