Manager, Software Engineering (Pega) - Remote

DriveTime•Tempe, AZ

1d•Remote

About The Position

DriveTime Family of Brands is the largest privately owned used car sales finance & servicing company in the nation. Headquartered in Tempe, Arizona and Dallas, Texas, we create opportunities and improve the lives of our customers and our employees by placing a focus on putting the right customer, in the right vehicle, on the right terms and on their path to ownership. The DriveTime Family of Brands spans across DriveTime, Bridgecrest and SilverRock. You can find us at the intersection of technology and innovation as we use our proprietary tools and over two decades of industry knowledge to redefine the process of purchasing, financing, and protecting your vehicle. This is not a position for which sponsorship will be provided. Individuals with temporary visas or who need sponsorship now or in the future are not eligible for hire at this time. In short, as a Manager, Software Engineering on our team, you will oversee the end-to-end delivery of Pega projects, ensuring that timelines and quality standards are consistently met. In this management role, you will motivate and inspire your team, leveraging their unique strengths while managing performance to deliver on business expectations. In long, our Manager, Software Engineering is responsible for: Lead the planning, execution, and completion of features, managing project scope, risks, and dependencies to ensure successful delivery. Analyze and identify linkages and interactions between component parts to ensure the integrity of the entire system. Foster a culture of continuous improvement and collective ownership of quality and deliverables, championing the responsible use of AI tools, including AI-assisted development, to improve team productivity and delivery speed. Set clear, measurable performance goals for team members and conduct regular 1:1s to track progress. Provide timely, actionable feedback and manage the full employee lifecycle—from hiring and onboarding to performance management and reviews. Utilize code reviews and work assessments not just for quality control, but as opportunities to deepen team expertise. Collaborate with senior stakeholders to provide strategic insights and effective automation solutions. Proactively address conflicts or issues, engaging in difficult conversations with team members and stakeholders, and escalating only where appropriate.

Requirements

Proven ability to lead the delivery of complex Pega projects and design workflows and case management solutions using Pega capabilities, with a strong background in case lifecycle design (case types, stages, routing, and SLAs).
Strong capability to effectively mentor others, develop skills outside of the team’s comfort zone, and guide junior members on Agile principles.
Ability to bridge the gap between technical teams and business needs, driving collaboration across cross-functional groups.
A mindset focused on utilizing innovative approaches to improve project outcomes and encouraging the team to do the same, including practical use of AI to improve how work is planned, built, and delivered.
5+ years of professional development experience and have led teams informally or formally on large projects.
Bachelors degree in Information Technology or related field or equivalent work experience.
Extensive experience designing workflows using Pega capabilities.
Strong case management background, including designing and delivering Pega case types, stages and steps, routing, SLAs, and case lifecycle automation for complex business processes.
A track record of driving collaboration across cross-functional teams.
Deep understanding of Agile principles and experience mentoring teams on their application.
Ability to manage complex project scopes and mitigate risks effectively.
Demonstrated use of AI in the execution of prior roles, such as AI-assisted code development or leading AI adoption within a team or organization.

Responsibilities

Lead the planning, execution, and completion of features, managing project scope, risks, and dependencies to ensure successful delivery.
Analyze and identify linkages and interactions between component parts to ensure the integrity of the entire system.
Foster a culture of continuous improvement and collective ownership of quality and deliverables, championing the responsible use of AI tools, including AI-assisted development, to improve team productivity and delivery speed.
Set clear, measurable performance goals for team members and conduct regular 1:1s to track progress. Provide timely, actionable feedback and manage the full employee lifecycle—from hiring and onboarding to performance management and reviews.
Utilize code reviews and work assessments not just for quality control, but as opportunities to deepen team expertise.
Collaborate with senior stakeholders to provide strategic insights and effective automation solutions.
Proactively address conflicts or issues, engaging in difficult conversations with team members and stakeholders, and escalating only where appropriate.