Job description

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 the link below, https://risk.lexisnexis.com About The Role The Senior Manager of Data Analytics & Business Intelligence (BI) will lead a high-performing team of data professionals. This role requires a strong leader with a deep technical background, sharp business acumen, and a passion for leveraging modern AI technologies to drive business outcomes. The individual will partner closely with cross-functional teams to design data-driven strategies, develop scalable analytics solutions, and enhance our BI capabilities to support decision-making at all levels of the organization. Ideal candidate can be remote or hybrid from our Dayton, OH, Boca Raton, FL or Alpharetta, GA offices for onsite meetings as needed. Responsibilities Leadership & Strategy • 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 • Foster a data-driven culture across the organization through stakeholder engagement and data literacy initiatives • Effectively navigate a matrixed organization to collaborate with stakeholders, sponsors, and executive leadership to define key performance indicators (KPIs) and reporting standards Technical Execution • 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 Business Acumen • Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment • Appreciation for how each team contributes to overall business performance • Understanding of interdependencies and process flows across departments • Ability to identify and resolve cross-functional bottlenecks • Translate complex data insights into actionable business strategies • Provide analytical support for high-impact business initiatives including revenue growth, customer retention, and operational efficiency • Identify opportunities for process improvements, cost savings, and risk mitigation using data insights • Knowledge of core business tools such as Salesforce, ServiceNow AI & Innovation • Leverage advanced analytics and AI/ML techniques to uncover patterns, predict outcomes, and automate decision-making • Lead the integration of diverse data sources (structured and unstructured) to create a unified analytics environment • Evaluate and implement new AI technologies and tools (e.g., generative AI, LLMs, Databricks and DataGenie) to drive innovation and efficiency • Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements Requirements • 8+ years in analytics leadership roles, managing cross-functional data teams • Proven ability to influence senior stakeholders and drive data-driven decisions • Excellent interpersonal, communication, and stakeholder management skills • 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) • Strong understanding of business operations, KPIs, customer, and financial metrics • Ability to connect data insights to business strategy and ROI • Experience working across functions such as product, market planning, sales, operations, product implementation, and finance • Exceptional business acumen and experience working closely with cross-functional business leaders • Excellent communication and storytelling skills, with the ability to influence and engage stakeholders at all levels • 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 • Understanding of responsible AI principles and data ethics • Advanced Python skills for data analysis, modeling, and ML • Experience applying statistical modeling and machine learning

Requirements