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Director Predictive Analytics Jobs in Kansas (NOW HIRING)

Pepsico

Fleet Technician 3 (Entry Level)

Wichita, KS · On-site

$22 - $29.50/hr

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

Pepsico

Fleet Technician 3 (Entry Level)

Wichita, KS · On-site

$31/hr

... Uptake predictive analytics, TAAS, and more! * Leverage and grow your skills working on Pepsi ... from direct supervisor) * Experience using shop tools (engine hoists, welding, changing tires ...

Autodesk

$159K - $285K/yr

The Senior Principal Data Scientist will report to Director of Growth and Data Science in the ... Design and implement predictive models to analyze and anticipate user behavior, intent, and ...

DataMap

ERP Analyst IV

Overland Park, KS

$120K - $180K/yr

... to make a direct impact on enterprise technology strategy. Role Overview We are hiring an ERP ... Work closely with technical teams to implement AI-driven analytics and predictive insights

DataMap

ERP Analyst IV

Overland Park, KS · On-site

$120K - $180K/yr

... to make a direct impact on enterprise technology strategy. Role Overview We are hiring an ERP ... Work closely with technical teams to implement AI-driven analytics and predictive insights

DataMap

ERP Analyst IV

Overland Park, KS · On-site

$120K - $180K/yr

... to make a direct impact on enterprise technology strategy. Role Overview We are hiring an ERP ... Work closely with technical teams to implement AI-driven analytics and predictive insights

Nuvative Inc

Data Scientist

Wichita, KS · On-site

Director of Analytics WHO WE ARE: WHO WE ARE: Nuvative is a parent company that is helping ... Develop predictive models to forecast customer behavior and optimize business outcomes.

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Director Predictive Analytics information

What are the key skills and qualifications needed to thrive as a director of predictive analytics?

To thrive as a Director of Predictive Analytics, you need advanced expertise in statistics, machine learning, and data analysis, typically supported by a degree in mathematics, statistics, computer science, or a related field. Familiarity with tools such as Python, R, SQL, cloud-based analytics platforms, and relevant certifications in data science or analytics software are highly valued. Exceptional leadership, strategic thinking, and communication skills help you translate complex data insights into actionable business strategies and manage cross-functional teams effectively. These competencies are crucial for driving data-informed decision-making and maximizing the value of predictive analytics within an organization.

What jobs use predictive analytics?

Predictive analytics is used in a variety of roles such as data analysts, data scientists, business analysts, and marketing analysts. These jobs involve analyzing data to forecast trends, improve decision-making, and optimize processes using tools like statistical software and machine learning algorithms.

What is the difference between Director Predictive Analytics vs Data Scientist?

AspectDirector Predictive AnalyticsData Scientist
Required CredentialsBachelor's or Master's in Data Science, Statistics, or related field; often requires leadership experienceBachelor's or Master's in Data Science, Statistics, Computer Science, or related field
Work EnvironmentLeads teams, manages projects, collaborates with executivesAnalyzes data, develops models, reports findings
Employer & Industry UsageUsed in corporate, finance, healthcare, and tech sectors for strategic decision-makingCommon across tech, finance, marketing, and research sectors for data analysis

The main difference is that the Director Predictive Analytics oversees teams and strategic projects, focusing on leadership and high-level decision-making, while Data Scientists primarily analyze data and build models to derive insights. Both roles require strong analytical skills and knowledge of data tools, but the director position emphasizes management and strategic alignment.

What are the typical collaboration points for a director of predictive analytics within an organization?

A Director of Predictive Analytics regularly collaborates with cross-functional teams, including data engineers, data scientists, business stakeholders, and IT departments. They are responsible for translating business needs into analytical solutions, ensuring data quality, and integrating predictive models into operational systems. Strong communication is essential, as the director must bridge technical teams and business leaders to drive data-driven decision-making throughout the organization.

What does a director of predictive analytics do?

A Director of Predictive Analytics leads teams that use data, statistical algorithms, and machine learning techniques to forecast future outcomes and trends for a business. They are responsible for developing and implementing predictive models that drive strategic decisions in areas such as marketing, operations, and risk management. This role often involves collaborating with executives, data scientists, and IT professionals to ensure analytics solutions align with organizational goals. Additionally, the Director oversees data quality, project management, and the adoption of analytical best practices across the company.
What cities in Kansas are hiring for Director Predictive Analytics jobs? Cities in Kansas with the most Director Predictive Analytics job openings:
Director Predictive Analytics jobs near you

IT Manager - Enterprise Data & Analytics

Associated Wholesale Grocers

Kansas City, KS • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Associated Wholesale Grocers rating

6.8

Company rating: 6.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

27th of 122 rated grocery stores

Job description

IT Manager - Enterprise Data & Analytics 

Location: 5000 Kansas Avenue Kansas City, KS 66106

Work Model: Hybrid

Department: Enterprise Data & Analytics

Make us your BEST Choice! 

The IT Manager - Enterprise Data & Analytics provides leadership and direction for enterprise-wide analytics solutions that enable business decision-making, operational excellence, and strategic transformation across AWG. This role is highly business stakeholder-facing and balances long-term enterprise analytics platform modernization with high-urgency, ad hoc analytical needs that drive immediate business outcomes.

This leader partners closely with business executives (C-Level and officers) and functional leaders (Merchandising, Finance, Operations, Marketing, Distribution & Logistics) to translate business priorities into scalable, reliable, and actionable analytics solutions. The role requires a strong understanding of the end-to-end data management lifecycle, modern cloud-based data platforms, and the ability to direct teams with urgency, clarity, and accountability.

Key Responsibilities

Enterprise Analytics Strategy & Modernization (15%)

  • Partner with senior business stakeholders to define and evolve the enterprise analytics vision and roadmap 

  • Lead modernization of enterprise data platforms using cloud technologies (Azure), including scalable architecture and standardized frameworks 

  • Drive legacy data warehouse and analytics decommissioning aligned to future-state architecture 

  • Promote adoption of advanced analytics, including predictive, prescriptive, and AI-enabled insights 

  • Establish and maintain enterprise standards for Power BI, including data modeling, performance, and visualization best practices 

  • Advocate for analytics-driven decision-making, operational efficiency, and cost optimization

Solution Delivery & Execution (30%)

  • Prioritize analytics initiatives aligned to enterprise strategy and business impact 

  • Balance ad hoc analytical needs with long-term platform development 

  • Partner with Data Architecture and Engineering teams to deliver scalable, enterprise-grade solutions 

  • Ensure solutions are secure, high-quality, and delivered on time and within budget 

  • Evaluate tools and technologies for scalability, supportability, and cost efficiency 

  • Manage vendor relationships and ensure accountability for delivery and service levels 

Operational Excellence & Service Management (30%)

  • Ensure stability, availability, and performance of analytics platforms and solutions 

  • Lead change and release management processes to minimize business risk 

  • Define and monitor SLAs, system health metrics, and performance standards 

  • Gather and act on stakeholder feedback to improve service quality and delivery 

  • Enforce best practices, documentation standards, and consistency across the team 

Financial & People Leadership (25%)

  • Lead, coach, and develop a high-performing analytics team 

  • Drive performance management, accountability, and continuous improvement 

  • Support budgeting, forecasting, and cost management activities 

  • Monitor spend and manage against budget expectations 

  • Build a culture of ownership, urgency, and results-driven execution 

Management & Leadership Expectations

  • Provide clear direction, coaching, and career development for team members 

  • Delegate effectively while maintaining accountability for outcomes 

  • Lead through ambiguity and drive alignment across stakeholders 

  • Foster strong collaboration, communication, and stakeholder engagement 

Qualifications

Education & Experience

  • Bachelor's degree in MIS, Computer Science, or related field (or equivalent experience) 

  • 10+ years of experience in enterprise data management and analytics 

  • 7+ years of leadership experience managing technical or analytics teams 

  • Experience in retail, wholesale, or CPG environments preferred 

Technical & Domain Expertise

  • Strong understanding of the end-to-end data lifecycle: ingestion, modeling, governance, analytics, and consumption 

  • Experience with modern data platforms and tools, including: 

    • Azure Data Factory, Databricks, Synapse Analytics, Data Lake / Delta Lake 

    • CI/CD, DevOps, Infrastructure as Code (e.g., Terraform) 

    • Python / PySpark / notebook-based development 

    • Power BI or Tableau for enterprise analytics 

  • Experience with data governance, data quality frameworks, and access control models 

  • Familiarity with AI/ML-enabled analytics and real-time data architectures 

  • Understanding of lakehouse architecture and enterprise semantic modeling 

Leadership & Professional Competencies

  • Strong executive presence with the ability to translate analytics into business outcomes 

  • Proven ability to balance strategic initiatives with urgent business needs 

  • Excellent communication, storytelling, and stakeholder management skills 

  • Data-driven, outcomes-oriented mindset 

  • Ability to navigate ambiguity, prioritize effectively, and drive execution 

  • Consulting or analytics transformation experience preferred 

Working Environment

  • Standard office / hybrid work environment 

  • Collaboration across business and IT functions 

  • Occasional extended hours aligned to project delivery needs 

Core Job Competencies

  • Enterprise Analytics Leadership - Drives strategy and execution of scalable analytics solutions 

  • Business Partnership - Aligns analytics capabilities with business priorities and outcomes 

  • Technical Acumen - Applies deep expertise in modern data platforms and architectures 

  • Execution & Delivery - Ensures consistent, high-quality solution delivery 

  • People Leadership - Builds and develops high-performing teams 

  • Strategic Thinking - Balances long-term transformation with immediate business needs 

  • Communication & Influence - Engages and aligns stakeholders at all levels

Associated Wholesale Grocers, Inc. (AWG) is the nation's largest cooperative food wholesaler to independently owned supermarkets, serving 1,100 member companies and 3,500 locations throughout 33 states from 9 wholesale division support centers. Consolidated sales for AWG in 2024 were $12.1 billion. In addition to its cooperative wholesale operations, the company also operates subsidiary companies that provide certain real estate and supermarket development services, and pharmaceutical products. For more information, visit AWGinc.com.

 Benefits:

  • Medical, Dental, & Vision Insurance
  • Health Savings Account
  • Dependent Care Flexible Spending Account
  • Paid Vacation, Holiday, and Sick Time
  • 401(k) with 4% match along with 3 other contributions
  • Tuition Reimbursement
  • Basic & Supplemental Life and AD&D
  • Employee Assistance Program
  • Short-Term and Long-Term Disability 
  • Wellness Program

  • Yearly Holiday Bonus

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