Managing Director, Data & Analytics

Insperity • St. Louis, MO

1d • Hybrid

About The Position

This position is responsible for developing and leading an Enterprise Analytics team consisting of report writers, data scientists, and analysts. Working cross-functionally to create an enterprise data governance strategy, this role ensures the effective collection, analysis, and interpretation of data to enable informed decision-making across the organization. This role drives the strategic vision, execution, and leadership of the company’s data and analytics initiatives across multiple platforms to improve business results.

Requirements

• Bachelor’s Degree or advanced degree in Business, Statistics, Psychology, or a related field is required.
• 15+ years of demonstrated experience and achievement in one or more of the following quantitative disciplines: data science, statistics, applied mathematics, economics, or advanced analytics is required.
• 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, complimented 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.

Nice To Haves

• Experience working in business services is preferred
• marketing, sales, operational analytics experience 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.

Responsibilities

• Builds data and analytics practices that elevate data-driven decision making across the enterprise; functioning as the internal subject matter expert, consultant, and trusted advisor.
• Leads and develops a team of data professionals, including data scientists and data analysts.
• Fosters a culture of collaboration, innovation, and continuous learning across these roles in all parts of the organization to streamline reporting effectiveness, accuracy and relevancy.
• Establishes and institutes data governance policies to ensure data quality, integrity, consistency, and security.
• Ensures analytics activities across the enterprise adhere to best practice security and compliance standards.
• Oversees the development and delivery of advanced analytics, predictive modeling, and business intelligence solutions that provide actionable insights to stakeholders.
• Collaborates with departments to identify key performance indicators (KPIs) and build dashboards for monitoring performance across key business initiatives and priorities.
• In partnership with ITS, evaluates and implements data management tools, analytics platforms, and software to optimize data processing and analysis.
• Stays up to date with the latest industry trends and technologies.
• Collaborates closely with executive leadership, IT, marketing, finance, operations, and other departments to understand data needs and deliver solutions that drive business value.
• Communicates findings and insights effectively to non-technical stakeholders.
• Manages multiple data and analytics projects, ensuring timely delivery, adherence to enterprise best practices and disciplines, and alignment with business priorities.
• Develops metrics to measure the effectiveness of data initiatives and report on their impact on business outcomes.

Benefits

• Flexibility: Over 80% of Insperity’s jobs have flexibility.
• Career Growth: Insperity provides many ways to grow with the company. We offer continuous learning programs, mentorship opportunities and ongoing training.
• Well-Being: Our total rewards package includes generous paid time off, top-tier medical, dental and vision benefits, health & wellness support, paid volunteer hours and much more.

What This Job Offers

• Job Type: Full-time
• Career Level: Executive