RELX

Director

• Lead a team of product managers bringing clarity and direction to a high-performing team.
• Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritise incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organisation
• Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights, ensuring the appropriate ROI.
• Tracking and analysing product expenses, cost to revenue and profitability.
• Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction; Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials
• Reporting: ability to measure team and portfolio success through aggressive KPIs ensuring reporting to stakeholders and senior leadership.

Director, Product Management

Data Scientist

• Developing and enhancing statistical and machine learning models using structured and unstructured data to generate predictive insights and attributes
• Design and building data pipelines and analytical solutions that support risk segmentation and insurance use cases
• Providing actuarial expertise and recommendations to inform model development, risk segmentation, and support rate filings.
• Researching and applying innovative data science methodologies to solve complex business problems
• Managing and analyzing large, complex datasets, including data storage, processing, and quality assurance
• Applying best practices for data validation, testing, and model performance monitoring
• Collaborating with team members to share knowledge, strengthen capabilities, and contribute to a strong analytical culture
• Identifying and leveraging new data sources to improve and validate existing models
• Partnering with internal stakeholders to understand business needs, troubleshoot challenges, and deliver actionable insights
• Maintaining a strong understanding of team tools, technologies, and evolving industry trends
• Applying business and domain knowledge to drive effective, practical solutions
• Communicating progress, insights, and outcomes clearly to stakeholders
• Supporting team excellence by upholding high standards of quality, accountability, and execution

Senior Data Scientist

Pricing Analyst

• Provide consultative deal pricing support to Sales and internal stakeholders
• Review and approve deal price exception requests in accordance with pricing policies
• Collaborate effectively with cross-functional partners involved in deal approvals
• Prepare customer-facing documents that accurately reflect approved pricing
• Perform financial analysis to evaluate deal profitability
• Draft customized contract language for non-standard commercial terms
• Ensure consistent and accurate tracking of customer pricing data and proposal iterations
• Proactively identify opportunities for profit optimization and process improvement
• Perform pricing analysis in support of pricing initiatives

Pricing Manager

Account Executive

• Own a new business growth target for Salary Benchmarking
• Build pipeline through outbound and partner-led prospecting
• Position yourself as a trusted advisor on US compensation
• Run structured discovery with Compensation/Total Rewards leaders
• Deliver compelling demos, proposals, and business cases
• Partner with Marketing, Product, and Sales Leadership
• Maintain excellent CRM hygiene and forecast accuracy
• Represent Brightmine in the US at client meetings

Solutions Engineer

• Partner with Account Executives to engage prospective customers and understand their business and technical requirements
• Act as the technical point of contact in customer conversations, clearly explaining IDVerse’s solutions to different audiences
• Translate customer needs into aligned product capabilities and solution use cases
• Support pre‑sales discussions by positioning features, workflows, and value propositions appropriately
• Provide high‑level guidance on how IDVerse solutions are implemented in customer environments
• Share best practices and common implementation approaches to support smooth onboarding
• Capture customer feedback, technical questions, and feature requests and relay them to Product and Go‑To‑Market teams
• Collaborate with Sales, Product, and Delivery teams to ensure alignment and consistent messaging
• Support internal enablement activities, including contributing to product knowledge sharing and sales training.

Solutions Consultant – Pre-Sales

Product Manager

• Customer discovery, product delivery and development lifecycle: understand customer needs, experiment and collaborate to find answers to customer problems, define and prioritize incremental value, lead the execution of a product roadmap, focusing on improving customer experience; working closely with the development teams, data science, fellow product managers and wider organization
• Design and own product suite strategy and define it through collaboration and analysis of the right market, customer and business insights
• Data driven decision making and analysis: ability to drive conclusions from large volumes of data and recommend and execute relevant actions to help drive the further product development and increase customer satisfaction
• Go to market and product marketing lifecycle: working closely with the internal business partners (e.g. Sales, Marketing, Customer Support, Professional Services) to gather and assess product needs in the marketplace, manage customer feedback providing input and expertise to the marketing and other customer materials

Senior Product Manager – Business Fraud Risk

ServiceNow

• Act as the technical lead and primary escalation point for ServiceNow developers.
• Provide hands-on guidance in development, including: Business Rules, Script Includes, Client Scripts, Flow Designer, UI Actions, Service Portal components, Scoped Applications, APIs.
• Lead code reviews, enforce development standards, and ensure best practices are followed.
• Mentor and coach developers, supporting their technical growth and capability development.
• Manage technical delivery across sprints, ensuring alignment with priorities and capacity.
• Design and develop solutions within ServiceNow across ITAM, ITSM, SPM, FedRAMP, NowAssist/AI.
• Develop scoped and global applications aligned to enterprise standards.
• Lead development of ITAM solutions across HAM Pro and SAM Pro, including lifecycle and compliance workflows.
• Troubleshoot complex platform issues and support high-quality solution delivery.
• Work closely with ServiceNow Architecture to design scalable and compliant solutions.
• Contribute to and align with Architecture Decision Records (ADRs).

ServiceNow Software Engineering Tech Lead

• Identify and prospect new accounts within your territory.
• Serve as the primary RX liaison for your territory, delivering tailored solutions.
• Build and strengthen long-term relationships with existing customers.
• Stay informed on industry trends, competitive dynamics, and customer priorities.
• Utilize RX best practices for pipeline management and progression.
• Prepare and deliver compelling sales presentations that articulate RX’s value.

Sales Executive, Events

Financial Planning and Analysis

• Own full business cost of sales (COS), including analysis, forecasting, variance explanation, trend identification, and communication with business partners.
• Provide revenue analysis, forecast support, business review preparation, and product-level financial visibility for two major product suites.
• Prepare and support monthly forecasts, annual operating plans, and long-range financial forecasts.
• Support month-end close activities, including schedules, reconciliations, reporting, and explanation of financial results and drivers.
• Develop financial models and scenario analyses to support business decisions and evaluate risks and opportunities.
• Identify patterns, trends, discrepancies, and missing data elements in financial information and recommend appropriate resolution.
• Partner with Product Management, Accounting, FPR&A, and other finance and cross-functional teams to support planning and decision support needs.
• Communicate financial results and business implications clearly and concisely for both finance and non-finance audiences.
• Contribute to recurring reporting, dashboards, and ad hoc analysis aligned to business priorities.
• Support process improvements, documentation, and enhancements within finance decision support workflows.

Senior Financial Analyst

Analyst

• Analysis of call detail record and other forms of geolocation data, provided by customers, to provide actionable insight to aid in criminal investigations
• Leveraging the LexisNexis TraX solution to create reports, and demonstrative aids for investigative and prosecutorial purposes
• Provide hands on case assistance to customers during multi-day instructor led training classes
• Testify as an expert witness in criminal trials in call detail record and mobile device geolocation analysis
• Test and evaluate new features, products and processes to support internal and external teams
• Ability to peer review cases for insight and evaluation
• Communicate complex processes in a simple, easy to understand manner
• Prepare for training classes by testing training software and partnering with the Trainer on all class details
• Drive a high level of engagement with training attendees
• Work directly with sales team to support product understanding, implementation and best practices
• Maintain positive customer relationship through detailed analysis of large data sets
• Operate professionally and effectively, often without direct supervision, while conducting high-quality analysis, data development, capability briefs, and reach-back support seamlessly across diverse analytic and technical teams
• Be capable of being certified as an expert witness in call detail record and geolocation analysis for court proceedings
• Cooperatively works with others within the team and outside the team to achieve objectives
• Look for and identify key trends
• Assists in process improvement efforts
• Executes special projects as assigned
• Performs other duties as requested

Senior Analyst, Geolocation Investigations

Implementation Specialist

• Establish training plans for Enterprise Solution customers.
• Set Implementation schedule and timeline to fit account calendar.
• Track and maintain team deadlines for Implementation.
• Work to collaborate with internal partners to establish curriculum needs and deploy resources for successful program launch of Elsevier Digital products.
• Builds account product usage tools to establish a framework of Elsevier digital products and their use within the curriculum.
• Identify “at-risk” customers and collaborate to give insight into action plans.
• Implements the plan for the Program Solution accounts that will hold accountable the faculty and program administration for a product optimization plan that is ready for hand-off to the Enterprise Customer Success Manager bringing the account to full steady state.
• Advise programs using data-driven insights derived from Elsevier product usage and student outcome analysis.
• Manage Curriculum Solution process tracking to completion.

Nurse Education Implementation Specialist

Data Analyst

• Design and implement methodologies to gather, analyze, and continuously assess risk using customer data and LexisNexis public records, supporting government entities in identifying and mitigating fraud risk within the Social Services domain
• Analyze online transactional data to validate expected performance, identify trends and anomalies, and generate actionable insights for internal and external stakeholders, including detection of suspicious or potentially fraudulent behavior
• Evaluate large-scale batch datasets to support quality control (QC) processes, identify patterns and trends, and surface actionable leads to ensure optimal solution performance
• Leverage OSINT (Open-Source Intelligence) techniques to conduct investigative research and support customer-driven fraud investigations
• Develop and maintain scalable analytical scripts (e.g., SQL, Python, R) to automate data extraction, transformation, and advanced analysis
• Partner with Sales and Solution teams to provide pre- and post-sale support, including solution design, product education, implementation guidance, and best practices
• Manage and strengthen customer relationships through ongoing analysis and insights delivered throughout the lifecycle of engagements
• Develop and contribute to customer-facing presentations , translating complex analytical findings into clear, compelling narratives
• Research and recommend alternative approaches to help customers achieve cost-effective and optimized solutions
• Investigate and resolve data quality and QC issues , ensuring accuracy and reliability of outputs
• Identify and drive process improvement opportunities to enhance analytical efficiency, scalability, and quality
• Lead or contribute to special projects and strategic initiatives as assigned

Senior Fraud Data Analyst

Manager

• Analyze article and newsletter performance across platforms to understand what resonates with readers
• Translate complex data into concise insights that support editorial decision-making
• Help shape editorial strategies to maximize audience impact
• Track audience behavior by product, region, channel, and topic to uncover growth opportunities
• Identify high-performing formats, topics, and tones, and share insights
• Write clear, jargon-free performance reports that explain why certain content succeeds
• Design, run, and interpret A/B headline tests
• Collaborate with product, marketing, and editorial teams on content promotion strategies
• Help build trust and understanding of engagement metrics across the newsroom

Audience Engagement Manager

• The Implementation Specialist (IS) will work with Program Solution accounts outlining plans for implementing Nursing & Health Education products into their programs.
• This role identifies important milestones at the account and builds the implementation process into a timeline.
• The IS works with internal partners and the sales team to deploy resources accordingly and have a clear understanding of the roles that all team members play in the implementation process.
• They will work in direct contact with the customer and internal teams to ensure that process timelines and deliverables have been met and pivot on deliverables as needed.
• The Implementation Specialist reports internally on all projects in process and provides timely updates to managers and internal teams.

Implementation Specialist, Nursing Health Education

Account Manager

• Own a portfolio of law enforcement agency accounts across the West territory, driving new business sales, renewal strategy, retention, customer satisfaction, and net revenue growth for Coplogic insurance and related solutions
• Build and maintain multi-threaded relationships with chiefs/sheriffs, command staff, records managers, IT, and city/county stakeholders; lead regular business reviews to align outcomes to agency goals (accuracy, efficiency, community service, and compliance)
• Serve as a trusted advisor on Coplogic capabilities and roadmap, the LexisNexis Risk Solutions value proposition, and competitive alternatives; translate product features into clear operational and financial benefits for public safety leaders
• Coordinate with implementation, support, product, and finance teams to ensure smooth onboarding, timely issue resolution, and strong adoption; escalate risks appropriately and communicate status and next steps to the customer
• Represent Coplogic and LexisNexis Risk Solutions at regional and state law enforcement events, association meetings, and sponsored tradeshows to strengthen partnerships, improve retention, and identify cross-sell/upsell opportunities within existing accounts
• Monitor account health using usage, support, and operational metrics; identify renewal risk signals early, develop success plans, and recommend additional solutions or services that increase agency value and long-term partnership