LexisNexis Risk Solutions
Delivery Manager
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Would you like to lead complex, business-critical initiatives that drive operational excellence and enable innovation across Product, Technology, and Business teams?
Are you excited by the opportunity to deliver meaningful change, improve ways of working, and help teams adopt AI-enabled solutions that enhance productivity and outcomes?
About the Business
LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. You can learn more about LexisNexis Risk at https://risk.lexisnexis.com/
About the Role
As a Delivery Manager, you will lead and coordinate complex cross-functional initiatives across Product, Technology, Operations, and Business teams. You will play a key role in driving successful project delivery, supporting operational excellence, and enabling organizational change. Working closely with stakeholders, you will help improve processes, facilitate adoption of AI-enabled solutions, and ensure projects are delivered effectively throughout the project lifecycle.
Responsibilities:
- Lead multiple concurrent projects across the product development lifecycle from initiation through delivery.
- Develop and maintain project plans, roadmaps, timelines, milestones, and executive reporting.
- Coordinate resources, priorities, dependencies, and deliverables across Product, Engineering, Operations, Legal, and other business functions.
- Facilitate delivery governance and ensure effective communication of project status, risks, issues, and mitigation plans.
- Support release planning and coordination activities to ensure successful deployments and operational readiness.
- Assist with incident management processes, coordinating cross-functional teams during high-priority operational events and helping drive timely resolution.
- Facilitate post-incident reviews, lessons learned sessions, and continuous improvement activities.
- Lead process optimization initiatives that improve delivery effectiveness, operational efficiency, adoption of AI-enabled capabilities, and organizational agility.
- Partner with stakeholders to drive organizational change initiatives and support the adoption of new processes, tools, and ways of working.
- Collaborate with teams to identify and implement AI-enabled solutions, automation opportunities, and productivity improvements.
- Monitor delivery and operational metrics, develop and maintain data-driven reporting and dashboards, and provide actionable insights, analysis, and recommendations to support informed decision-making.
- Analyze project, release, incident, and operational data to identify trends, risks, opportunities for improvement, and resource requirements.
- Ensure compliance with applicable regulatory, security, and governance requirements.
- Foster a culture of accountability, collaboration, and continuous improvement across teams.
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Requirements:
- Experience leading technology, product, or operational projects in a Project Management or PMO environment.
- Project Management certification (PMP, PRINCE2, Agile, Scrum, or equivalent) preferred.
- Strong understanding of Agile delivery methodologies and software development lifecycles.
- Experience coordinating cross-functional teams and managing project dependencies.
- Experience supporting release management, deployment planning, and delivery governance activities.
- Experience participating in incident management, issue resolution, or operational support processes.
- Experience driving process improvement initiatives and operational efficiencies.
- Experience supporting organizational change, transformation initiatives, or adoption of new technologies and processes.
- Experience helping teams adopt new technologies, AI-enabled capabilities, operating models, or process changes as part of organizational transformation initiatives.
- Experience developing and presenting data-driven reporting, dashboards, KPIs, and performance metrics for technical and business stakeholders.
- Strong analytical, problem-solving, and decision-making skills, with the ability to interpret complex data sets and generate actionable insights.
- Experience using reporting and visualization tools to communicate progress, risks, operational performance, outcomes, and business impact.
- Excellent communication and stakeholder management skills, including the ability to engage with technical and non-technical audiences.
- Ability to manage multiple priorities and adapt in a fast-paced environment.
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