Managing Director, Data & Analytics

Insperity

Managing Director leading an Enterprise Analytics team at Insperity. Driving strategic vision, execution, and collaboration on data and analytics initiatives across the organization.

Posted 4/25/2026full-timeSt. Louis • Montana, Texas • 🇺🇸 United StatesLeadWebsite

Tech Stack

Tools & technologies

HadoopPythonScalaSparkSQL

About the role

Key responsibilities & impact

Develop and lead an Enterprise Analytics team consisting of report writers, data scientists, and analysts
Create an enterprise data governance strategy
Ensure the effective collection, analysis, and interpretation of data to enable informed decision-making across the organization
Drive the strategic vision, execution, and leadership of the company’s data and analytics initiatives across multiple platforms to improve business results
Build data and analytics practices that elevate data-driven decision making across the enterprise
Function as the internal subject matter expert, consultant, and trusted advisor
Lead and develop a team of data professionals, including data scientists and data analysts
Foster a culture of collaboration, innovation, and continuous learning across roles in all parts of the organization
Establish and institute data governance policies to ensure data quality, integrity, consistency, and security
Ensure analytics activities adhere to best practice security and compliance standards
Oversee the development and delivery of advanced analytics, predictive modeling, and business intelligence solutions that provide actionable insights to stakeholders
Collaborate with departments to identify key performance indicators (KPIs) and build dashboards for monitoring performance across key business initiatives and priorities
Evaluate and implement data management tools, analytics platforms, and software to optimize data processing and analysis
Stay up to date with the latest industry trends and technologies
Collaborate closely with executive leadership, IT, marketing, finance, operations, and other departments to understand data needs and deliver solutions that drive business value
Communicate findings and insights effectively to non-technical stakeholders
Manage multiple data and analytics projects, ensuring timely delivery, adherence to enterprise best practices and disciplines, and alignment with business priorities
Develop metrics to measure the effectiveness of data initiatives and report on their impact on business outcomes

Requirements

What you’ll need

Bachelor’s Degree or advanced degree in Business, Statistics, Psychology, or a related field
15+ years of demonstrated experience and achievement in one or more quantitative disciplines: data science, statistics, applied mathematics, economics, or advanced analytics
Experience working in business services is preferred
Experience using machine learning techniques such as logistic regression and random forest regression/classification modeling is preferred
Experience with advanced statistical modeling techniques such as latent class analysis, multidimensional scaling, and principal components analysis is preferred
Experience with unstructured data is preferred
Experience with enterprise CRM and related analytical tools is preferred, especially Salesforce and Einstein
Technical, hands-on experience executing “big data” research programs using mainstream data-science tools such as Python, SQL, R, Hive, Spark, Hadoop and Scala is preferred
Broad knowledge of applied statistics: assessing population and sample distributions and applying the appropriate methodology based on the data, descriptive, inferential, and predictive analysis, and non-parametric methods
Excellent executive presence and communications skills required
Ability to bridge the gap between data science and business strategy/management
Strong project management skills and attention to detail, complemented by an ability to understand and articulate the “big picture” to internal and external stakeholders
Ability to identify opportunities to improve business outcomes by applying practical research and analytical tools; capable of consulting with business teams to recommend, design, construct, and apply findings from these initiatives
Collaborative approach to working with others and persuasive communication skills at all management levels is critical.

Benefits

Comp & perks

Generous paid time off
Top-tier medical, dental and vision benefits
Health & wellness support
Paid volunteer hours

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data governancedata analysispredictive modelingbusiness intelligencemachine learningstatistical modelingbig datadata scienceapplied statisticsdata management

Soft Skills

leadershipcollaborationcommunicationproject managementstrategic visioninnovationcontinuous learningconsultingpersuasive communicationattention to detail