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LexisNexis Risk Solutions

Data-driven risk assessment & analytics solutions

Senior Marketing Manager - AI Strategy and Transformation

Full-TimePosted on 10/23/2026
$115.4k - $192.3k+ Annual incentive bonus
Senior
Bachelor's, Master's
Alpharetta, GA, USA
In Person
Growth & MarketingMarketing Generalist & Management

About the job

Requirements
  • A bachelor's degree in Business, Marketing, Communications, Information Systems, or a related field is required.
  • An advanced degree or equivalent experience is preferred.
  • At least 7 years of experience in B2B marketing, strategy, digital transformation, marketing technology, innovation, or related leadership roles is required.
  • Demonstrated success leading complex AI, digital, or marketing transformation initiatives from strategy through implementation is required.
  • Experience contributing to operating model design, including governance frameworks, decision rights, cross-functional workflows, RACIs, and human-in-the-loop controls is required.
  • A strong understanding of how artificial intelligence is transforming marketing strategy, customer engagement, content discovery, decision-making, and operating models is required.
  • Experience evaluating emerging technologies, platforms, and strategic partners, including developing business cases and build-versus-buy recommendations, is required.
  • The ability to translate technical concepts, including AI agents, workflow orchestration, knowledge systems, and data integrations, into business requirements and operating processes is required.
  • An understanding of responsible AI, governance, risk management, adoption strategies, and enterprise change management considerations is required.
  • Experience defining and measuring adoption, operational effectiveness, efficiency, quality, and business outcomes is required.
  • Working knowledge of generative AI, machine learning, automation technologies, prompt-based tools, and the evolving AI platform ecosystem is required.
  • Familiarity with search engine optimization, Answer Engine Optimization, and Generative Engine Optimization concepts is required.
  • Strong analytical and strategic thinking, program management, and communication skills are required to translate complexity into clear recommendations and executive-level narratives.
  • The ability to influence stakeholders, coordinate cross-functional teams, and drive alignment in matrixed organizations without direct authority is required.
Responsibilities
  • Lead the day-to-day execution and ongoing evolution of the marketing AI transformation roadmap, coordinating priorities, milestones, dependencies, risks, and decisions across multiple workstreams.
  • Support the design and phased implementation of an AI-enabled marketing operating model, including governance structures, decision rights, workflows, operating procedures, and human review controls.
  • Identify and prioritize high-value AI opportunities across marketing based on business impact, feasibility, scalability, risk, and organizational readiness.
  • Translate changes in customer behavior, digital discovery, and AI-mediated engagement into recommendations for marketing capabilities, content strategies, customer journeys, and channel optimization.
  • Drive alignment across marketing, sales, product, data, technology, and enterprise AI stakeholders to support transformation initiatives and resolve dependencies.
  • Develop and manage current-state and future-state workflows that incorporate AI capabilities, governance requirements, knowledge management, measurement frameworks, and workforce considerations.
  • Evaluate build, buy, and partner alternatives by supporting business case development, platform assessments, proof-of-concept initiatives, and vendor evaluations.
  • Facilitate the development of AI agent use cases and end-to-end workflows, including knowledge requirements, inputs, outputs, escalation paths, collaboration models, and human oversight.
  • Coordinate pilot programs and support the transition of validated AI capabilities into scalable, repeatable production workflows and operating procedures.
  • Manage transformation governance processes and executive reporting, providing clear, actionable updates on progress, risks, opportunities, decisions, and business results.
  • Support organizational readiness and long-term adoption through communications, training, capability-building initiatives, and change management activities.
  • Partner with analytics and operations teams to establish measures of AI adoption, effectiveness, efficiency, quality, and business impact.
  • Monitor emerging AI trends, platform developments, and competitive activity to inform roadmap priorities and strategic recommendations.
Desired Qualifications
  • Experience within highly regulated, data-rich, or enterprise B2B environments is preferred.

About the company

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LexisNexis Risk Solutions

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LexisNexis Risk Solutions provides data, analytics, and decision tools to help organizations assess and manage risk across many industries. Its offerings combine large data sets with advanced analytics to support better decisions, improve operations, and protect consumers. By covering sectors like financial services, government, healthcare, insurance, retail, and public safety, the company helps customers evaluate likelihoods of risk, detect issues, and act more efficiently. The goal is to turn data into actionable insight that reduces risk, increases operational efficiency, and supports compliant, informed decision-making for its clients.

Company Size

5,001-10,000

Company Stage

N/A

Total Funding

N/A

Headquarters

Alpharetta, Georgia

Founded

1997

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Simplify's Take

What believers are saying

  • Arizona's Digital Birth Credential rollout expanded statewide June 1, 2026.
  • Cytora, Epic, and Agenium integrations widen distribution across commercial, healthcare, and life insurance.
  • 2026 reports show rising fraud, higher home severity, and SNAP losses $4.29 per dollar.

What critics are saying

  • Choksi v. LexisNexis Risk Solutions and Ioane v. LexisNexis Risk Solutions expand FCRA exposure.
  • Scroggins settled for $13.5 million after false deceased reports; data quality remains a liability.
  • TransUnion, Experian Health, and Socure target adjacent identity and fraud budgets aggressively.

What makes LexisNexis Risk Solutions unique

  • RELX-backed LexisNexis Risk Solutions spans fraud, insurance, healthcare, and government workflows.
  • Emailage Adaptive, launched October 1, 2026, self-calibrates and cuts false positives 80%.
  • FedRAMP In Process status and TxRAMP certification strengthen public-sector trust.

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Benefits

  • Health Insurance
  • 401(k) Company Match
  • Wellness Program
  • Short-and-Long Term Disability
  • Life Insurance
  • Family Planning Benefits
  • Health Savings Account/Flexible Spending Account
  • Paid Vacation

Company News

PR Newswire
Oct 1st, 2026
LexisNexis launches self-calibrating AI fraud detection tool, cutting false positives by 80%

LexisNexis Risk Solutions has launched Emailage Adaptive, a self-calibrating AI fraud detection solution that continuously learns from each organisation's unique fraud patterns without manual intervention. In testing, the system captured around 90% of frauds amongst highest-risk transactions while reducing false positives by more than 80%. Dell Technologies has doubled its high-risk fraud capture rates and reduced manual reviews of low-risk transactions by 83% since implementing the solution. The launch addresses rising fraud costs, with one in every 11 new account creations globally being fraudulent attempts, according to LexisNexis's Cybercrime Report 2026. The solution analyses email, IP, phone and address signals whilst providing transparent scoring with clear reason codes for each risk assessment.

PR Newswire
Sep 24th, 2026
LexisNexis and IMS slash telematics costs by 50% with on-device driving intelligence

LexisNexis Risk Solutions and IMS have integrated the LexisNexis Drive Metrics scoring model into the IMS EdgeSDK to create a smartphone-based telematics solution for US auto insurers. The integration enables insurers to launch or improve usage-based insurance programmes whilst reducing costs by 50% or more by eliminating cloud processing and storage fees. The solution keeps driving behaviour data on users' devices whilst generating scores that can be incorporated into existing workflows. It can be embedded into insurance company apps or utilised through an IMS white-label app. The LexisNexis Drive Metrics model has demonstrated 79% improvement above standard rating factors. The partnership aims to make telematics intelligence accessible to insurers of all sizes, providing more personalised pricing for consumers whilst maintaining data privacy and transparency.

PR Newswire
Aug 25th, 2026
Arizona launches first US digital birth credential with LexisNexis Risk Solutions

Arizona has launched the nation's first Digital Birth Credential in collaboration with LexisNexis Risk Solutions and state agencies. The programme allows Arizona-born residents to access a verified digital version of their birth certificate on their mobile devices. Residents can present the credential from their smartphones when applying for services at Arizona Department of Transportation Motor Vehicle Division offices. The initiative aims to reduce reliance on paper documents whilst lowering risks of document loss, theft, and identity fraud. The programme initially launched at three MVD pilot locations in November 2025 before expanding statewide on 1 June 2026. It leverages LexisNexis VitalChek technology to streamline workflows and enhance fraud prevention, establishing a model for digital government transformation nationwide.

PR Newswire
May 14th, 2026
LexisNexis launches AI-driven Location Intelligence for US home insurers to assess property risk

LexisNexis Risk Solutions has launched Location Intelligence for Home, an AI-driven predictive model for US home insurance carriers to assess property risk. The tool uses neural network modelling and industry-wide claims data to evaluate six perils, including hail, wind and non-weather water damage. Properties with the highest Location Intelligence scores are 20 times more likely to have a claim than those with the lowest scores. The system addresses gaps in traditional assessment methods, particularly important as non-weather water claims represented 24% of all claims in 2025. The solution integrates within LexisNexis Smart Selection, enabling underwriters to apply location-based insights consistently across new business and renewals. The company plans to file the model in various US states for underwriting and rating workflows.

PR Newswire
Apr 23rd, 2026
Cytora partners with LexisNexis to automate US commercial insurance underwriting with AI

Cytora and LexisNexis Risk Solutions have announced a strategic partnership to enhance digital risk processing for US commercial insurers by integrating LexisNexis data and analytics into Cytora's AI-powered underwriting platform. The collaboration allows commercial insurers to automatically enrich submissions with external information, reducing manual lookups and accelerating risk decisioning. Cytora's platform digitises incoming risks and augments them with external data sources, whilst LexisNexis provides industry-leading data analytics and proprietary linking technology for business entity resolution. The integration begins with US commercial business firmographics data via LexisNexis Commercial Data Prefill, with additional LexisNexis commercial insurance products to follow. The partnership aims to transform underwriting from a reactive process into a proactive, insight-driven discipline whilst streamlining critical processes across the entire policy lifecycle.