RELX

Full-stack Engineer

• Managing and mentoring of six direct reports.
• Driving and owning the technical strategy and execution for the CK AI Service, including the design and governance of retrieval-augmented generation (RAG) workflows and API expansion.
• Improving the delivery velocity, reducing bottlenecks and single points of failure, driving standardization, mentoring, and cross-functional alignment as the platform matures.
• Establishing a sustainable leadership model to support the planned division and growth of the team.
• Collaborating with our Data Science team to help drive product road map and feature design forward.

Software Engineering Lead

Marketing

• Lead the development of audience segmentation and marketing strategy across the Academic Leaders and Funders portfolio
• Own the strategic foundation that guides marketing planning, defining which institutions and audiences matter most, how they are prioritized, and how marketing investment is focused to drive growth, retention, and relevance
• Develop and maintain audience segmentation model, including tiering, targeting criteria, and audience prioritization
• Partner with the broader marketing organization to embed audience strategy into campaign execution
• Monitor campaign performance by segment and recommend targeting refinements

Senior Manager, Segment Marketing Strategy

Manager

• Regularly scan published tender notifications and review identified opportunities with key business stakeholders.
• Evaluate the tender requirements and coordinate opportunity qualification with the Legal and Sales teams.
• Own and lead the tender-related procedures.
• Assemble and manage all activities from submission, to response, through contract signature.
• Manage timelines to ensure all deadlines are met.
• Identify and manage risks.
• Create high quality proposal text, and coordinate the inputs of other subject matter experts.
• Manage proposal review process with relevant stakeholders.
• Ensure submission deadlines are met.
• Develop strong data capture and analysis, with clear reporting and tooling to identify and address trends.
• Seek to continuously improve processes in order to a) reduce the turnaround in responding to tenders and b) to alleviate the burden of gathering all the necessary info, c) maximize efficiency.
• Identify areas for process improvement.
• Contribute to development of a bid-text library and champion re-use of standard bid text in proposals.
• Participate as part of a fully integrated global team, sharing regional best practices and finding global consistencies.

Tender Manager

Project Manager

• Own end‑to‑end delivery from discovery to benefits realization, ensuring measurable business outcomes.
• Translate strategy into clear delivery roadmaps with defined milestones and success metrics.
• Partner cross‑functionally to deliver scalable solutions that enhance customer experience and enable future growth.
• Build strong, trusted relationships across product, engineering, data, and executive stakeholders to align objectives and outcomes.
• Ensure clear communication, transparency, and timely decisions to keep initiatives on track and stakeholders engaged.
• Support the planning and delivery of complex projects, ensuring clear outcomes and business value.
• Develop and maintain delivery plans and roadmaps across technology, change, operations, and go‑to‑market activities.
• Manage day‑to‑day execution, coordinating cross‑functional teams and tracking progress against milestones.
• Apply agile ways of working and support teams in meeting delivery commitments.
• Identify and manage dependencies, risks, and issues, escalating early with recommended actions.
• Maintain governance, reporting, and delivery metrics in line with Elsevier Technology standards.
• Apply and promote delivery best practices to improve execution quality, predictability, and outcomes across projects.
• Contribute to building scalable, future‑ready delivery capabilities that support long‑term business and platform evolution.

• Developing and executing integrated field marketing campaigns that align with commercial goals and support all stages of the sales funnel;
• Partnering closely with Sales leadership and account teams to tailor programs for named accounts and key verticals, applying ABM principles where appropriate;
• Leading demand generation initiatives, including webinars, digital campaigns, and content syndication programs focused on pipeline acceleration;
• Planning and managing industry event strategy, including sponsorships, speaking opportunities, and on-site engagement plans;
• Working with campaign and content teams to localize global programs and develop regional assets that resonate with local audiences;
• Monitoring and reporting on program performance- especially pipeline contribution, MQL-to-SQL conversion, and account engagement;
• Ensuring leads are captured, routed, and followed up on in collaboration with Sales and Marketing Operations.

Field Marketing Manager

Analyst

• Conduct expert-level analysis of call detail records (CDR), device geolocation data, and communication metadata from multiple sources to identify behavior, routes, stops, meetings, communications, and criminal activity, to generate investigative leads, provide operational insights, and inform probable cause in support of criminal investigations.
• Learn and apply advanced analytic methodologies to conduct tactical pattern analysis, movement analysis, precise next-event prediction, interdiction opportunity analysis, and related predictive techniques to proactively identify patterns of behavior and movement of a target that can be leveraged for operational planning of enforcement actions or interdiction, often in near-real-time.
• Prepare and deliver timely and actionable tactical analysis products including geospatial maps, timelines, link charts, video productions, and concise analytical reports suitable for operational and legal audiences that will inform operational plans, investigative tactics, threat mitigation, or prosecution strategy.
• Rigorously analyze, evaluate, interpret, and deliver data-driven findings from relevant and diverse data sources including government data sets, court-authorized records, commercial vendor data, and publicly available information.
• Learn and maintain relevant subject matter expertise in analysis or investigation in support of federal law enforcement missions, including proficiency in analytic tools such as: Accurint (Zetx) Trax Investigative Suite, Cellular Investigation Subject Matter Expert (SME) certification, Accurint Virtual Crime Center (AVCC), TechSmith Camtasia or video production, ESRI ArcGIS mapping, i2 Analysts Notebook, cellular network and device hardware, and/or proprietary LexisNexis tools and databases.
• Strong understanding of legal and operational requirements for law enforcement and intelligence missions, including relevant title authorities, legal process, evidentiary standards, and court testimony.
• Communicate with credibility and integrity in engagements with senior officials, field operators, analyst teams, and legal personnel, and conduct briefs or testimony effectively in both technical and layperson terms.
• Work collaboratively in cross-functional and cross-agency initiatives with law enforcement and military operational customers and command leadership in an agency, inter-agency, or joint task force environment, often in high-security or classified settings, providing consultation, technical expertise, analytic work product, briefings, and professional testimony as a trusted representative of the Pattern Analysis capability in support of the customer’s unique mission set.

Investigative Geolocation Analyst

• Develop and design liveness detection systems that utilize AI algorithms to differentiate between real and fake biometric data including analyzing facial features, eye movements, and other physiological indicators.
• Build and optimize deep learning models specifically for liveness detection. This involves selecting appropriate algorithms, conducting experiments, and optimizing model parameters to enhance accuracy and reliability.
• Identify and extract features from biometric data that are crucial for detecting spoofing attempts including texture analysis, motion-based detection, and 3D depth analysis.
• Collaborate with data scientists to collect, clean, and preprocess large datasets required for training liveness detection models. Ensure data integrity and suitability for model development.
• Implement machine learning algorithms capable of processing real time biometric data to detect inconsistencies indicative of spoofing attempts which includes integrating multimodal approaches such as facial recognition, fingerprint scanning, and iris recognition.
• Conduct rigorous testing of liveness detection systems to ensure performance in real-world scenarios. Validate models against various spoofing techniques to ensure robustness.
• Deploy liveness detection systems into production environments, ensuring scalability and high performance. Continuously monitor system outputs to identify any issues with accuracy or efficiency.

Principal Software Engineer

• Interface with other technical personnel or team members to finalize requirements.
• Write and review portions of detailed specifications for the development of complex system components.
• Complete complex bug fixes and work closely with other development team members to understand complex product requirements and translate them into software designs.
• Successfully implement development processes, coding best practices, and code reviews.
• Operate in various development environments (Agile, Waterfall, etc.) while collaborating with key stakeholders.
• Resolve complex technical issues as necessary and train entry-level software engineers as directed by department management, ensuring they are knowledgeable in critical aspects of their roles.
• Keep abreast of new technology developments.

Senior Software Engineer

Solutions Engineer

• Support the pre-sales process by providing technical guidance and professional services insights
• Deliver product demonstrations and presentations to prospective and existing clients
• Conduct client needs assessments and develop customized solutions
• Provide training and support on software and technology platforms
• Collaborate with cross-functional teams to ensure successful solution implementation
• Build and maintain strong client relationships to drive satisfaction and retention
• Stay current on industry trends and best practices, including conducting competitor research, to enhance service offerings
• Serve as a recognized expert in fraud and identity solutions
• Proactively identify and address opportunities for improvement, both with customers and internally to LexisNexis.
• Perform other duties as assigned

Senior Solutions Consultant

Business Development Rep

• Responding to inbound leads in a quick timely manner
• Incorporating value-based selling in conversations to drive both customer and business objectives
• Identifying the needs and challenges of the prospective customer and recommending customized solutions
• Prospecting new accounts via cold call, email, and social strategies (LinkedIn Sales Navigator)
• Managing the full cycle sales process from lead generation to closing deals
• Building and maintain excellent relationships with clients to ensure their success and satisfaction
• Maintaining pipeline and log activity appropriately in Salesforce

Business Development Executive, Events

Data Scientist

• Develop and implement NLP, LLM, and generative AI approaches (e.g., RAG, prompt strategies)
• Define agentic workflows and reasoning strategies for multi-step legal tasks
• Develop 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 II – Agentic AI

Technical Account Manager

• This Home-Based role will be responsible for managing and selling the suite of Research Intelligence solutions in the states of IL, IN, OH, and KY.
• Achieve overall revenue targets for a portfolio of scientific databases and solutions including Solutions Products and Content Licensing.
• Understand client needs in a consultative approach and translate into realistic propositions and packages in support of the company sales strategy.
• Formulate focused strategies tailored towards the market; align sales approach to meet market needs in accordance with company policies; devise and implement account strategies to address differentiated needs at all levels of accounts.
• Annual account planning and execution (jointly with Account Manager where required).
• Regularly review sales results and forecasts e.g. via Clari and other sales enablement tools and adjust actions accordingly.
• Work closely with regional and federal government agencies to develop projects for scientific databases and solutions.
• Gather, monitor and evaluate competitive information and provide market feedback to the business to enhance product development and GTM.
• Participation in trade shows and conferences, with agreed outcomes.
• Develop and maintain relationships with all relevant decision makers and influencers at the customer level to support Elsevier’s strategic objectives.
• Provide market feedback to enhance product development for a more customer-focused product.
• Integrate and process information derived from current projects, customers, market awareness and technical knowledge.
• Ensure Salesforce is always up to date.

Solutions Account Manager, Research Intelligence

• Lead the design and development of agentic AI systems
• Architect and deliver autonomous workflows, multi-step reasoning agents, and AI copilots that solve complex business problems across the organization.
• Define and implement LLM-powered architectures
• Design scalable solutions leveraging large language models, orchestration frameworks (e.g., LangChain, OpenAI APIs), and modular service patterns to enable reusable AI capabilities.
• Build and optimize tool-augmented agents
• Develop agents that effectively utilize function calling, retrieval-augmented generation (RAG), memory systems, and planning/execution loops to perform reliable, context-aware tasks.
• Establish best practices for prompt engineering and evaluation
• Create standardized approaches for prompt design, testing, benchmarking, and continuous improvement to ensure high-quality outputs in production environments.
• Implement production-grade guardrails and safety mechanisms
• Design and enforce controls for hallucination mitigation, output validation, policy compliance, and safe execution of AI-driven workflows.
• Drive AI system performance and reliability
• Optimize latency, throughput, and cost efficiency of AI systems while ensuring high availability, observability, and fault tolerance across agent workflows.
• Design and manage retrieval systems
• Architect solutions using embeddings, vector databases, and hybrid search techniques to enable accurate, scalable knowledge retrieval.
• Integrate AI capabilities into enterprise platforms
• Embed AI services into existing products, APIs, and developer workflows, ensuring seamless interoperability with enterprise systems and data sources.
• Lead technical strategy and cross-functional alignment
• Partner with product, data, and engineering leaders to define AI roadmaps, prioritize initiatives, and align solutions with business objectives.
• Champion responsible AI practices
• Ensure systems adhere to standards for fairness, bias mitigation, transparency, and governance, while meeting regulatory and organizational compliance requirements.
• Mentor and elevate engineering teams
• Provide technical leadership, guide architectural decisions, and mentor engineers in building scalable, maintainable AI systems.
• Continuously evaluate emerging technologies
• Stay at the forefront of advancements in AI/ML, agent frameworks, and tooling, and drive adoption of innovations that create competitive advantage.

Principal Software Engineer – Agentic AI

Content Marketing Manager

• Consult on all aspects of AI Global Data Conversion Software Engineering
• Partner with Operations Director, business units, Offshore teams and other technical teams
• Conduct analysis, needs assessments, and preliminary cost-benefit analysis
• Lead Global cross-functional projects

AI Conversion Engineering – Global Content Consultant

• 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.