Manager Software Engineering

Responsibilities

• Team Leadership & AI Fluency
• Build and lead high-performing engineering teams with a focus on AI fluency, continuous learning, and innovation
• Establish a culture of experimentation, responsible AI usage, and engineering excellence
• Mentor engineers in both core software engineering and AI-assisted development practices
• Delivery & Execution
• Own end-to-end delivery of software solutions, ensuring quality, scalability, and reliability
• Drive adoption of modern SDLC practices, DevOps, and automation
• Oversee planning, execution, and delivery across multiple initiatives and teams
• AI & Innovation Strategy
• Identify and drive Generative AI use cases to improve products, developer productivity, and operational efficiency
• Partner with architecture and data teams to embed AI capabilities into platforms and services
• Evaluate and adopt emerging technologies aligned with business goals
• Architecture & Technical Oversight
• Ensure adherence to enterprise architecture, security, and engineering standards
• Provide guidance on system design, data architecture, and integration patterns
• Act as a senior escalation point for complex technical challenges
• Stakeholder Engagement
• Partner with product, business, and customers to define technology strategy and roadmap
• Communicate progress, risks, and outcomes to senior leadership
• Translate business needs into scalable technical solutions
• Talent & Organizational Development
• Hire, develop, and retain top engineering talent
• Foster a culture of ownership, accountability, and innovation
• Drive upskilling initiatives in AI, cloud, and modern engineering practices
• Operational Excellence
• Manage budgets, resource allocation, and vendor partnerships effectively
• Ensure strong governance across security, compliance, and responsible AI practices
• Continuously improve engineering processes using data-driven insights

Requirements

• 10+ years of software engineering experience, including modern cloud-native development
• 3+ years of people leadership experience managing high-performing engineering teams
• Bachelor's degree in Computer Science, Engineering, or related field (advanced degree preferred)
• Demonstrated experience leading AI/ML or data-driven initiatives (GenAI exposure strongly preferred)
• Proven ability to lead distributed/global teams and drive outcomes across complex organizations
• Engineering & Architecture
• Strong experience with cloud platforms (AWS, Azure, or GCP) and modern architectures (microservices, event-driven, APIs)
• Proficiency in modern programming languages (e.g., Java, Python, JavaScript/TypeScript)
• Deep understanding of data platforms , including data modeling, pipelines, and real-time processing
• Experience designing scalable, resilient, and secure systems
• AI / GenAI & Data Fluency
• Working knowledge of Generative AI concepts (LLMs, embeddings, prompt engineering, RAG, fine-tuning)
• Experience integrating AI capabilities into products or workflows (e.g., copilots, automation, NLP use cases)
• Understanding of AI governance, responsible AI, and model evaluation
• Ability to guide teams in leveraging AI-assisted development tools (e.g., coding copilots, test generation, automation)
• Software Delivery & DevOps
• Expertise in Agile, DevOps, CI/CD, and test automation (TDD/BDD)
• Experience with observability, reliability engineering, and performance opti

Benefits

Additional Information

Are you ready for a leading Engineer role? Would you enjoy working on our cutting-edge products? About our Team: LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritizes using the best model from today's top model creators for each individual legal use case. About the role: This role provides strategic and technical leadership to software engineering teams, including onshore, offshore, contractors, and interns, to deliver scalable, secure, and AI-enabled software solutions. The Manager drives execution across the software development lifecycle while evolving teams toward AI fluency, modern engineering practices, and product-centric thinking . The position partners closely with product, architecture, data, and business stakeholders to define and deliver high-impact solutions. It is responsible for building high-performing teams, fostering innovation (including GenAI adoption), and ensuring delivery excellence . Additionally, this role contributes to technology strategy, talent development, and organizational transformation , including the responsible adoption of Generative AI, automation, and intelligent systems .

Your Match

How well this role fits your profile.

Company Intel

What employees say

Worked at relx? Share your experience