LexisNexis Risk Solutions · 3 months ago
Senior Manager Data Analytics & Business Intelligence
LexisNexis Risk Solutions is a key partner in risk assessment, providing solutions for businesses to enhance revenue growth and operational efficiencies. The Senior Manager of Data Analytics & Business Intelligence will lead a team to develop data-driven strategies and analytics solutions, leveraging AI technologies to support decision-making across the organization.
AnalyticsHealth CareInformation TechnologyInsurTechRisk ManagementSoftware
Responsibilities
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
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
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
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
Stay abreast of emerging trends in data analytics and AI and guide the team and overall organization in adopting relevant advancements
Qualification
Required
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
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
Company
LexisNexis Risk Solutions
LexisNexis Risk Solutions provides information to assist customers in industry and government in assessing, predicting, and managing risk. It is a sub-organization of ChoicePoint.
H1B Sponsorship
LexisNexis Risk Solutions has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (129)
2024 (132)
2023 (86)
2022 (98)
2021 (125)
2020 (53)
Funding
Current Stage
Late StageLeadership Team
Recent News
BiometricUpdate.com
2025-12-27
2025-12-11
Company data provided by crunchbase