About The Position

LexisNexis Risk Solutions is seeking a strategic, future-focused Senior Marketing Manager to advance its AI strategy and transformation agenda within the Insurance business. The role helps execute the marketing AI transformation roadmap and establish an AI-enabled marketing operating model. It serves as a day-to-day integrator across strategy, operations, technology, governance, measurement, and talent development, translating strategic direction into actionable initiatives, scalable workflows, governance frameworks, workforce enablement programs, and technology recommendations. The position is part of the Global Marketing Center of Excellence, which partners across marketing, sales, product, technology, analytics, and enterprise AI teams to develop scalable operating models, accelerate adoption of emerging technologies, and drive measurable business outcomes. The role works closely with senior leaders and cross-functional stakeholders to help move the organization from AI experimentation to coordinated, enterprise-wide transformation that improves customer engagement, decision-making, and operational effectiveness.

Requirements

  • Bachelor’s degree in Business, Marketing, Communications, Information Systems, or a related field.
  • At least 7 years of experience in B2B marketing, strategy, digital transformation, marketing technology, innovation, or related leadership roles.
  • Demonstrated success leading complex AI, digital, or marketing transformation initiatives from strategy through implementation.
  • Experience contributing to operating model design, including governance frameworks, decision rights, cross-functional workflows, RACIs, and human-in-the-loop controls.
  • Strong understanding of how artificial intelligence is transforming marketing strategy, customer engagement, content discovery, decision-making, and operating models.
  • Experience evaluating emerging technologies, platforms, and strategic partners, including developing business cases and build-versus-buy recommendations.
  • Ability to translate technical concepts, including AI agents, workflow orchestration, knowledge systems, and data integrations, into business requirements and operating processes.
  • Understanding of responsible AI, governance, risk management, adoption strategies, and enterprise change management considerations.
  • Experience defining and measuring adoption, operational effectiveness, efficiency, quality, and business outcomes.
  • Working knowledge of generative AI, machine learning, automation technologies, prompt-based tools, and the evolving AI platform ecosystem.
  • Familiarity with SEO, Answer Engine Optimization (AEO), and Generative Engine Optimization (GEO) concepts.
  • Strong analytical, strategic thinking, program management, and communication skills, including the ability to translate complexity into clear recommendations and executive-level narratives.
  • Demonstrated ability to influence stakeholders, coordinate cross-functional teams, and drive alignment in matrixed organizations without direct authority.

Nice To Haves

  • Advanced degree or equivalent experience preferred.
  • Experience within highly regulated, data-rich, or enterprise B2B environments is preferred.

Responsibilities

  • Lead 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 incorporating 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 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 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.

Benefits

  • Comprehensive, multi-carrier medical, dental, and vision benefits.
  • 401(k) with match.
  • Employee Share Purchase Plan.
  • Wellness platform with incentives.
  • Headspace app subscription.
  • Employee Assistance and Time-off Programs.
  • Short- and long-term disability insurance.
  • Life and Accidental Death Insurance.
  • Critical Illness and Hospital Indemnity coverage.
  • Family benefits, including bonding and family care leaves, adoption and surrogacy benefits.
  • Health Savings, Health Care, Dependent Care, and Commuter Spending Accounts.
  • Annual Paid Time Off.
  • Up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with a charity of choice.
  • Annual incentive bonus.
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