Associate Director, Lead Engineering Leader - PxE Talent

Strategic Vision and Alignment

You will contribute to defining, communicating, and continuously refining a compelling engineering vision that translates business objectives into actionable strategies. Ensure engineering teams are aligned and engaged, collaborating closely with product, experience, delivery, infrastructure, and security teams. Leverage technical artifacts and feedback loops to illustrate and evolve the vision.

Advocacy and Technology Roadmap

Champion the integrated engineering strategy and technology roadmap, ensuring organizational awareness of objectives, KPIs, maturity, and compliance. Promote a culture of reuse, quality, and speed to maximize outcomes. Actively engage and energize teams around the engineering vision and its alignment with business and technology goals.

Craft Mastery and Objectives Realization

• Drive achievement of engineering KPIs, including system performance, scalability, security, and maintainability.
• Maintain and evolve engineering dashboards (planning, code quality, CI/CD, performance, security, operations).
• Contribute hands-on to design and code, mentor engineers, and resolve technical challenges.
• Inspire teams to adopt new technologies and best practices, fostering a passion for engineering excellence.

Capability Evolution and Development

• Being an engineering expert, mentor and develop full-stack engineering talent in modern practices such as frontend, microservices, cloud-native design, AI/ML/GenAI, data engineering, DevSecOps, and advanced deployment techniques like, Blue-Green, Canary to minimize down-time, enabling A/B testing approaches.
• Lead by example through thought leadership-speaking at conferences, publishing, R&D, or collaborating with academia.
• Cultivate a growth mindset and modern engineering behaviors across the team.

Iterative Value Delivery

Embrace an iterative and incremental product development, favoring action, prioritizing rapid learning, and adaptation over extensive upfront planning. Apply leaning-forward approach and empirical methods to navigate complexity, ensuring each iteration delivers value and aligns with customer and business needs.

Customer-Centric Problem Solving

Maintain a relentless focus on solving the most critical customer challenges. Align technical solutions with business outcomes, minimize unnecessary complexity, and drive teams toward high performance through continuous learning and collaborative execution.

Tech/Quality Risk Management

Establish and evolve engineering standards, coding practices, and quality benchmarks to ensure robust, secure, and scalable solutions. Proactively identify and mitigate technical risks, ensuring operational excellence and resilience.

Influential Communication

Influence, persuade, and drive decision-making processes. Communicate effectively in both written and verbal forms. Craft clear, structured arguments and technical trade-offs, supported by evidence.

Organizational Engagement and Collaboration

Engage stakeholders at all levels of the organization, from team members to middle management to executives. Build collaborative and constructive relationships, co-creating and driving momentum and value across multiple organizational levels.

Qualifications

• A bachelor's degree in computer science, software engineering, or a related discipline. An advanced degree (e.g., MS) is preferred but not required.
• Enterprise experience is the most relevant factor.
• 15+ years of proven experience with programming languages, technologies, and frameworks such as Python, C#, Java, Node.js, Golang, .NET Core, XML/JSON, REST/SOAP/GraphQL, SQL/NoSQL, SSO/MFA, and unit testing frameworks.
• 10+ years software engineering and product architecture/design foundation with deep understanding of Business Context Diagrams (BCD), sequence/activity/state/ER/DFD diagrams, OOP/OOD, data structures, algorithms, code instrumentation, and messaging patterns (e.g., routing, transformation, construction, channel, endpoint, adapter, sequencing).
• 8+ years of hands-on experience with cloud-native integration services on one or more hyper-scalers like Azure, AWS, GCP (e.g., API Gateways, Message Brokers, Queuing Services, Workflow Automation & Orchestration, ETL/ELT, Event Streaming, Real-Time Data Processing, Service Mesh).
• 5+ years of experience with defining and driving engineering KPIs, implementing engineering maturity models, and driving continuous improvement.
• 3+ years of experience with AI/ML; experience with the latest GenAI models is preferred.
• Deep understanding of methodologies and tools such as XP, Lean, SAFe, DevSecOps, SRE, ADO, GitHub, SonarQube, CAST, etc., to deliver high-quality products rapidly.
• Strong understanding of security, privacy, and compliance requirements in enterprise software engineering.
• Demonstrated experience aligning engineering initiatives with business and customer value, delivering measurable outcomes in agile environments.
• Proven ability to drive adoption of modern engineering practices at scale, including cross-functional collaboration.
• Proven track record of leading, mentoring, and developing diverse engineering teams, fostering a culture of innovation, inclusion, and continuous learning.
• Limited immigration sponsorship may be available.

Preferred

• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.