LexisNexis Risk Solutions aims to help businesses drive higher revenue growth, maximize operational efficiencies, and improve customer experience by solving problems in Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation, and Customer Data Management. The Senior Manager of Data Analytics & Business Intelligence will lead a team to design data-driven strategies and develop scalable analytics solutions to support decision-making across the organization.
Requirements
- Expert-level SQL for complex data querying and transformation, data modeling, and ETL processes
- Strong command of data modeling and data visualization tools (e.g. Power BI, Tableau)
- Experience with cloud-based data platforms (e.g., Snowflake, BigQuery, Azure Synapse)
- Hands-on experience with AI/ML tools and frameworks (e.g. Copilot Analyst/Researcher, Databricks/DataGenie)
- Familiarity with GenAI and LLMs (e.g., OpenAI) and how they can be integrated into business workflows
- Advanced Python skills for data analysis, modeling, and ML
- Experience applying statistical modeling and machine learning
Responsibilities
- Oversee the design, development, and maintenance of robust scalable data models, dashboards, and reports using modern BI tools (e.g. SQL, Power BI, Tableau, GitHub)
- Ensure high data quality and integrity by driving data governance and best practices
- Partner with business and operations teams to build scalable data pipelines and optimize data infrastructure
- Collaborate with the organization Enterprise Data Management teams to ensure robust data governance, security, and quality
- Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment
- Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making
- Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency
Other
- Lead, mentor, and grow a team of data analysts and BI developers
- Set clear performance goals, provide coaching, and support career development
- Foster a culture of curiosity, innovation, and continuous improvement
- Define and execute the analytics projects aligned with organizational goals and enterprise-wide strategic initiatives and programs
- Proven ability to influence senior stakeholders and drive data-driven decisions
