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GPRS

Senior Manager, Data and Analytics

GPRS

. Lead, mentor, and develop data analysts, data engineers, and AI engineers .

Posted 9/15/2026full-timeRemote • Ohio • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in leading data analytics and AI initiatives, with a strong focus on data governance, predictive analytics, and team development. Proficient in translating complex business problems into actionable insights and building executive-level reporting solutions.

Highest-signal resume keywords
Data Analytics LeadershipSQL ProficiencyPython ProgrammingETL/ELT Process ManagementData Governance Principles

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data AnalysisData EngineeringData SciencePredictive AnalyticsKPI DevelopmentData ModelingQuantitative AnalysisQualitative AnalysisForecastingDashboard Development
Soft Skills
MentoringCommunicationProblem-SolvingCollaborationProject Management
Tools & Technologies
DatabricksDBTAzureSnowflakeFabric
Industry Keywords
Data GovernanceBusiness IntelligenceAnalytics DevelopmentAI InitiativesData WarehouseLakehouseSelf-Service AnalyticsMachine LearningLarge Language ModelsExecutive Dashboards

Tech Stack

Tools & technologies
AzureETLPythonSQL

About the role

Key responsibilities & impact
  • Lead, mentor, and develop data analysts, data engineers, and AI engineers
  • Define quarterly and annual roadmaps for data, analytics, and AI initiatives
  • Prioritize team initiatives and align resources with organizational objectives
  • Establish standards for analytics development, data governance, documentation, testing, and deployment
  • Partner with executive leadership and business unit leaders to solve complex business problems
  • Translate ambiguous business questions into analytical investigations and actionable recommendations
  • Perform quantitative and qualitative analysis to identify operational, financial, customer, and market opportunities
  • Present findings and recommendations to senior leadership
  • Own KPI definitions, governance, and reporting standards
  • Build and maintain executive dashboards and operational reporting solutions
  • Develop forecasting, trend analysis, and predictive analytics capabilities
  • Guide enterprise data warehouse and lakehouse development
  • Oversee data pipeline design, ETL/ELT processes, data integration, and data quality initiatives
  • Design scalable data models supporting reporting, analytics, AI, and future growth
  • Partner with business and technology leaders to identify and prioritize AI opportunities
  • Lead conversational analytics, intelligent agents, automation, and AI-driven decision-support initiatives
  • Evaluate emerging technologies and define long-term analytics, data science, and AI roadmaps

Requirements

What you’ll need
  • Bachelor's degree in Data Analytics, Computer Science, Information Systems, Engineering, Mathematics, Statistics, Economics, or a related field
  • 7+ years of experience in analytics, business intelligence, data engineering, data science, or related disciplines
  • 3+ years of experience leading teams, projects, or enterprise initiatives
  • Advanced proficiency in SQL and data analysis
  • Strong experience with Python or similar analytical programming languages
  • Experience designing and supporting data warehouses, lakehouses, and enterprise reporting environments
  • Experience developing executive dashboards and KPI frameworks
  • Strong understanding of ETL/ELT processes, data modeling, and data governance principles
  • Ability to communicate complex analytical concepts to technical and non-technical audiences
  • Ability to drive projects from problem definition through implementation and measurement
  • Master's degree and experience with Databricks, DBT, Azure, Snowflake, Fabric, semantic modeling, self-service analytics, AI, machine learning, or large language model initiatives are preferred

Benefits

Comp & perks
  • Full medical, dental, and vision insurance with day-one coverage
  • 401k with company matching beginning on day one
  • Life, Short-Term, and Long-Term Disability at no cost to employees
  • Paid holidays
  • Paid time off
  • Leadership development training programs
  • Additional benefits supporting team member development