Director, Software Engineering

Responsibilities

• Lead multiple technical development teams in partnership across DXT to set technical direction to enable value generation.
• Establish and communicate the AI augmentation roadmap and operating model across DXT, translating strategic direction into a sequenced, resourced plan with clear owners and milestones.
• Own the AI Value Dashboard and ROI framework, attributing measurable improvements in KPIs, productivity, quality, and value stream velocity to specific augmentation initiatives; report outcomes to senior leadership and executive sponsors.
• Lead the portfolio view across all AI augmentation workstreams, managing dependencies, sequencing, risk, issue escalation, and investment prioritization across a complex, concurrent program.
• Partner with finance and portfolio management on AI investment forecasting, value capture modeling, and OKR/KPI definition.
• Influence and align senior stakeholders across Product, Engineering, Architecture, Project Management, Operations, Design, and Quality on AI augmentation priorities, accelerating decisions and resolving fragmentation that slows progress.
• Manage risk and issues across the augmentation workstreams, ensuring blockers surface and resolve without loss of momentum.

Culture Shift & Adoption

• Lead the culture shift toward AI fluency and an AI-native mindset, designing and scaling experimentation programs, developer fluency initiatives, and adoption pathways that meet cast where they are.
• Own adoption and sentiment tracking across DXT; use data to identify where adoption is accelerating, stalling, or at risk, and drive targeted interventions.
• Design and run structured change management across the AI augmentation program, partnering with change management resources and Gemstone AI to ensure practices are embraced and sustained.
• Communicate the "why" behind AI augmentation decisions clearly and compellingly, connecting teams to the bigger picture and promoting ownership for outcomes.

AI Process Re-Engineering

• Reimagine end-to-end value stream workflows using AI, moving beyond tool adoption to redesign how software is planned, built, tested, and operated; lead value stream mapping, workflow design, and AI interaction SOPs.
• Partner with the AI Engineering Tools & Practice function and persona-based SMEs to ensure process redesign is grounded in available tooling and can scale to repeatable patterns.
• Leverage strong SDLC understanding and technical acumen to connect AI-enabled changes to engineering practices.

Web & Mobile Delivery

• Responsible for direct delivery within DXT's web and mobile engineering platforms; lead teams, set technical direction, maintain delivery cadence, and use these workstreams as live proof-of-concept for AI-augmented value stream practices.
• Establish engineering standards, development processes, and quality practices across multiple initiatives.