Lead Engineering Senior Manager - PxE Consulting

About the role

As a Lead Engineering Leader, you will help shape and communicate a strategic vision for modern software engineering. You will provide hands-on leadership across multiple high-impact products, ensuring our solutions are innovative, effective, and aligned with business goals. You will contribute to and execute a forward-looking technology roadmap, driving simplification, scalability, and efficiency.

Responsibilities

• 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.
• Advocate for the integrated engineering strategy and technology roadmap, promoting 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, driving 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.
• Evolve capability, 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Requirements

• 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.
• 10+ years with 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).
• 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.
• 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.
• 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.
• 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.
• Must be a US Citizen.

Qualifications

• Required:
• 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.
• 10+ years with 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).
• 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.
• 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.
• 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.
• 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.
• Must be a US Citizen.
• Preferred:
• 3+ years of experience with AI/ML; experience with the latest GenAI models is preferred.
• Excellent interpersonal and organizational skills, with the ability to handle diverse situations, complex projects, and changing priorities, behaving with passion, empathy, and care.