LexisNexis

Full-stack Engineer

• Lead, mentor, and manage software engineers across multiple agile teams
• Drive delivery of complex, cross-team initiatives across the full software development lifecycle
• Partner with Product, Architecture, and business stakeholders to define priorities and deliver high-impact solutions
• Provide technical oversight, including reviewing code, guiding design decisions, and ensuring alignment with engineering standards
• Ensure engineering best practices, including code quality, testing, and secure development standards
• Support and help administer development tools and quality platforms (e.g., SonarQube) to maintain high code quality and visibility
• Champion the adoption of AI tools and techniques to improve developer productivity and software quality
• Support system design and architectural decisions to ensure scalability, reliability, and performance
• Oversee planning, execution, and delivery across multiple concurrent workstreams
• Identify and remove obstacles to enable team success and maintain delivery momentum
• Contribute to hiring, onboarding, and performance management of engineering talent
• Foster a culture of collaboration, accountability, and continuous improvement
• Guide teams in building and maintaining integrations with external customer systems and services

Manager, Software Engineering

Operations

• Define and drive the platform strategy aligned with Elsevier standards and enterprise priorities.
• Translate strategic objectives (DevEx, reuse, AI-enabled SDLC) into clear platform roadmaps.
• Establish and evolve a platform-as-a-product operating model.
• Build and lead a global platform organization (95–125 engineers) across key domains.
• Partner with TIO leadership, architecture, and change teams to align operating models.
• Drive an engineering-led, automation-first culture across the organization.
• Deliver internal developer portal capabilities (e.g., Backstage) and golden paths.
• Embed DORA and SPACE metrics to improve developer productivity.
• Champion reuse and inner sourcing across engineering teams.
• Integrate AI across the SDLC including code generation, testing, and automation.
• Drive adoption of AI-enabled engineering practices.
• Ensure secure and efficient-by-default platform services through automation.
• Ensure reliability, observability, and cost efficiency of platform services.
• Define resilience, incident management, and operational models.
• Track and report on platform maturity and performance.
• Partner with Business Unit CTOs, product leaders, and engineering teams.
• Drive alignment between platform capabilities and business outcomes.
• Communicate effectively across executive and technical audiences.

Head of Platforms – Technology, Infrastructure and Operations

• Design, develop, test, and maintain scalable software solutions across multiple systems
• Collaborate with product managers, designers, and engineers to define and refine technical requirements
• Apply best practices in coding, code reviews, and development methodologies
• Identify, troubleshoot, and resolve complex technical issues to ensure reliable system performance
• Work effectively in Agile, Waterfall, or hybrid development environments
• Support and mentor junior engineers through guidance, feedback, and knowledge sharing
• Stay current with relevant technologies, tools, and industry trends

Senior Software Engineer – WinDeed

Data Scientist

• Working closely with other data scientists and engineers to design, develop, and deploy AI solutions.
• Leading the development of advanced AI and machine learning models to solve complex business problems
• Research, build, and deploy models based on both shallow and deep machine learning.
• Train robust NLP-based models on a very large corpus of data
• Collaborating with cross-functional teams to ensure AI solutions are aligned with business goals and customer needs.
• Mentoring junior data scientists and provide guidance on AI and machine learning best practices.
• Designing APIs for disseminating data science outputs to various business units.
• Overseeing the scaling of production systems to meet growing demands.

Senior Data Scientist – French Language Proficiency

Content Marketing Manager

• Execute recurring and ad hoc data pulls across editorial and operational systems
• Reconcile inconsistencies across sources; validate, document and socialize metric definitions, assumptions, and calculation logic.
• Structure datasets to align with specific strategic questions
• Improve the efficiency and repeatability of recurring reporting processes
• Translate leadership questions into measurable metrics and analytical plans; clearly articulate implications of findings, limitations and confidence levels (what’s proven vs. directional).
• Conduct trend, variance, and performance driver analysis; identify where additional data or workflow instrumentation is needed to strengthen claims over time.
• Support scenario comparisons and initiative tracking
• Develop executive-ready presentations and data visualizations for strategy discussions
• Convert complex analysis into concise visuals that accelerate understanding and ensure consistency in narrative structure and presentation quality
• Support preparation for GEO leadership reviews and enterprise-level discussions; tailor materials for different leadership audiences and forums
• Produce recurring performance reporting aligned to strategic priorities, including AI-assisted throughput and quality signals
• Track KPIs and highlight meaningful performance shifts
• Contribute to the standardization of GEO performance and QA reporting practices
• Partner closely with the Head of GEO Strategy to prioritize analysis
• Collaborate with Editorial Operations, Finance, Metrics, Tech, Product and Data Analytics teams to gather inputs
• Clarify scope to ensure outputs address the intended decision question

Content Performance Analyst

• Lead experimentation and model development for AI/ML solutions in legal products
• Design and evaluate NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)
• Define agentic workflows and reasoning strategies for multi-step legal tasks
• Define retrieval strategies, including hybrid search (semantic + lexical), and evaluation metrics (e.g., relevance, ranking quality)
• Analyze large-scale legal datasets to extract insights and improve model performance
• Establish best practices for model evaluation, validation, and benchmarking
• Translate experimental results into clear product recommendations and business impact
• Collaborate with product, legal experts, and engineers to align solutions with user needs
• Mentor team members and provide technical leadership in data science and AI

Senior Data Scientist

Director

• Develop and lead a comprehensive competitive intelligence framework across legal research, analytics, AI drafting, and workflow automation platforms.
• Track competitors’ product launches, AI advancements, pricing strategies, partnerships, acquisitions, and go-to-market shifts.
• Identify where competitors are attempting to win on: Workflow speed, Automation depth, Knowledge orchestration, Enterprise integration, Go-to-market (GTM) motion.
• Build and maintain strong networks with senior players across the legal market to generate advanced insight and strengthen early-warning intelligence capabilities.
• Deliver timely analysis and positioning guidance to Product, Marketing, and Commercial teams following significant competitor announcements or market developments.
• Lead development of competitive positioning frameworks that clearly articulate Lexis Protégé’s workflow advantage in the evolving legal AI ecosystem.

Senior Director – Market Sensing, Competitive Intelligence

Program Manager

• Own and manage program and project initiatives from planning through execution and follow-up.
• Coordinate initiatives across global, distributed teams, aligning stakeholders across time zones and priorities.
• Lead team engagement, learning, and development activities that improve collaboration and effectiveness.
• Identify opportunities to improve team processes, efficiency, and overall experience.
• Define and track simple success metrics and share progress with leadership.
• Establish regular engagement rhythms such as all-hands meetings, retrospectives, and feedback loops.
• Support recognition, visibility, and internal communication efforts that reinforce team connection and impact.
• Partner closely with leadership to translate team feedback into actionable improvements.

Program Manager, Team Engagement – Effectiveness

Business Development Rep

• Drive new business acquisition across the German market
• Own the full sales cycle from prospecting to closing, including complex deal negotiations
• Build and manage a high-quality pipeline, ensuring accurate forecasting and revenue delivery
• Develop and execute strategic account plans to win new logos
• Collaborate cross-functionally (Marketing, Product, Customer Success) to deliver a seamless customer journey

New Business Development Manager – m/f/d

Attorney

• Manage the content lifecycle for assigned regulatory modules—strategy, development, commissioning, restructuring, and decommissioning.
• Stay ahead of legislative reform, case law, compliance trends, and sector developments.
• Gather insights directly from customers (pre and post-sales) to shape content that is practical, relevant, and tailored for different industries.
• Cultivate and manage relationships with external contributors such as specialist lawyers, consultants, regulators, and professional bodies.
• Partner with internal teams to define product value propositions, support go-to-market plans, deliver training, and contribute to client presentations.
• Support budgeting and revenue growth initiatives through new content proposals and adjacent market expansion.
• Drive authoring projects from initiation to delivery, ensuring quality and compliance standards are consistently met.

Legal Content Specialist – Energy & Infrastructure Regulatory Compliance

Data Engineer

• Interface with other technical personnel or team members to document, interpret, and finalize requirements.
• Produce code that is efficient, repeatable, without defects, and adherent to best practices such as naming conventions, encapsulation, etc.
• Write and review portions of detailed specifications for the development of data components.
• Complete data engineering bug fixes and issues, researching and identifying root causes as appropriate.
• Identify opportunities to apply automation or other tools to improve effectiveness or efficiency.
• Work closely with other development team members to understand product requirements and translate them into data engineering and/or data management designs.
• Innovate process improvements that enable efficient delivery and maintenance.
• Participate in the development processes, coding best practices, and code reviews.
• Oversee specific database management ensuring structure and data flow adheres to department standards.
• Utilize various data workflow management and analysis tools.
• Maintain a good level of intimacy within a specific data content area.
• Participate in process improvement and compliance to successfully and consistently deliver high quality services on time, and to specification, resulting in flexibility to react quickly to changes in priorities or circumstances to meet business needs.
• Complete simple data engineering bug fixes and resolve technical issues as necessary.
• Work closely with other engineering team members to understand data and translate requirements.
• Operate in various development environments (Agile, etc.) while collaborating with key stakeholders.
• Keep abreast of new technology developments.
• All other duties as assigned.

Data Engineer III

Marketing

• Supporting the execution of integrated marketing campaigns across digital, email, webinars, and events
• Assisting with account-based marketing initiatives by coordinating targeting, outreach, and follow-up activities
• Managing project timelines, deliverables, and logistics to ensure campaigns launch effectively
• Collaborating with cross-functional teams including product marketing, sales, and broader marketing groups
• Developing and editing marketing materials such as emails, blog posts, case studies, and sales collateral
• Tracking campaign performance and contributing to reporting, insights, and optimization efforts

Assistant Marketing Manager

• Leading execution of integrated marketing programs across webinars, digital advertising, and owned channels
• Translating segment strategy into channel-specific plans that drive awareness, engagement, and pipeline
• Driving consistency and quality across all campaign touchpoints and client experiences
• Identifying opportunities to scale programs and improve efficiency across channels
• Partnering with the Sr Director to align execution with strategic priorities
• Defining the webinar strategy to drive audience engagement, pipeline generation, and market positioning
• Establishing scalable webinar programs, series, and formats aligned to key personas and business priorities
• Guiding topic selection, speaker strategy, and content direction in partnership with subject matter experts and sales
• Defining the digital advertising strategy to drive awareness, engagement, and pipeline across target audiences
• Leading the marketing operations function, providing direction and oversight across systems, processes, and performance management
• Leading development of campaign creative, messaging, and assets across marketing channels.

Director, Marketing

Data Analyst

• Help conduct surveys
• Help develop the methodologies used in annual reports and rankings from survey data
• Collaborate with editors on research projects, based on surveys and publicly available data
• Help create data visualizations based on surveys and publicly available data
• Participate in drafting and presenting key research findings to reporters and editors
• Combine, clean and verify data from multiple sources
• Help manage our data set.
• Work with a wide range of stakeholders in Editorial and IT with regard to data management.

QA Automation Engineer

• Design and develop end-to-end solutions using Power Apps (Canvas and Model-Driven), Power Automate, Power BI, and Power Pages
• Build and manage automated workflows using Power Automate, including cloud flows, desktop flows (RPA), and process advisor insights
• Create interactive dashboards and reports in Power BI to support data-driven decision-making
• Collaborate with business stakeholders to gather requirements and translate them into practical low-code/no-code solutions
• Integrate Power Platform solutions with Microsoft 365, Azure services, Dataverse, SharePoint, Teams, and third-party APIs via connectors
• Establish and enforce best practices, governance standards, and security policies within the Power Platform environment
• Train and support business users and citizen developers in adopting Power Platform tools
• Monitor, troubleshoot, and optimize existing Power Platform solutions for performance and reliability
• Stay current with Microsoft's Power Platform roadmap and evaluate new features for adoption