Senior Manager Data Analytics & Business Intelligence

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,

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

U.S. National Base Pay Range : $116,000 - $215,500. Geographic differentials may apply in some locations to better reflect local market rates.

If performed in Ohio, the pay range is $110,200 - $204,700.

This job is eligible for an annual incentive bonus.

We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer :

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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company. Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.