Senior Manager Data Analytics & Business Intelligence

RELX•Alpharetta, GA

4d•$116,000 - $215,500•Hybrid

About The Position

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.

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

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

Benefits

Health Benefits: Comprehensive, multi-carrier program for medical, dental and vision benefits
Retirement Benefits: 401(k) with match and an Employee Share Purchase Plan
Wellbeing: Wellness platform with incentives, Headspace app subscription, Employee Assistance and Time-off Programs
Short-and-Long Term Disability, Life and Accidental Death Insurance, Critical Illness, and Hospital Indemnity
Family Benefits, including bonding and family care leaves, adoption and surrogacy benefits
Health Savings, Health Care, Dependent Care and Commuter Spending Accounts
In addition to annual Paid Time Off, we offer up to two days of paid leave each to participate in Employee Resource Groups and to volunteer with your charity of choice

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