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Director Predictive Analytics Jobs in Iowa (NOW HIRING)

Workiva Inc.

Director, GTM Technical Delivery

Ames, IA · On-site

$177 - $284/hr

Stay current on AI applications across the GTM tech stack, including predictive analytics, enrichment, scoring, and automation. Introduce intelligent solutions when they improve speed or quality.

PRSA Iowa

Donor Data and Insights Manager

Des Moines, IA · On-site

$110 - $150/hr

Lead the growth and evolution of Stelter's audience strategy, lead scoring and predictive analytics ... Identify trends in donor behavior across direct mail, email, digital and survey engagement to ...

LCS

Director, Finance and Pricing

Des Moines, IA · On-site

The Director, Finance and Pricing leads a centralized team responsible for pricing strategy, revenue and entry fee analytics, resident financial underwriting, forecasting, and predictive modeling ...

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Director Predictive Analytics information

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 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 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 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 most commonly searched types of Predictive Analytics jobs in Iowa?

The most popular types of Predictive Analytics jobs in Iowa are:

What cities in Iowa are hiring for Director Predictive Analytics jobs?

Cities in Iowa with the most Director Predictive Analytics job openings:

Director Predictive Analytics jobs near you

Director of Data, Analytics + Market Research

Meyocks

West Des Moines, IA • On-site

$106K - $198K/yr

Full-time

Posted 15 days ago

Job description

Lead Where Data Meets Insight
We're looking for a leader who can bring depth in either data & analytics or market research - not necessarily a unicorn who's equally elite at both. If you're a sharp analytics mind who can hold your own in a research conversation, or a seasoned researcher who's comfortable navigating dashboards and data infrastructure, we want to talk. What matters most is the ability to connect the dots between the two disciplines, lead a team that spans both, and translate their combined output into insights that move client marketing forward. You'll strengthen how data and research work together at Meyocks - building on a strong collaborative foundation and helping the team deliver more integrated client insights.
Summary
The Director of Data & Analytics is a member of the Digital Delivery team at Meyocks, leading a small multidisciplinary team of marketing analysts and marketing researchers. This hands-on leadership role combines team development and strategic oversight with direct contribution to client work across marketing analytics, research, advanced analytics and performance insights.
The ideal candidate brings leadership experience, with deep expertise in either marketing analytics or marketing research and working fluency across both disciplines. You will collaborate with account service, paid media, web development, creative, and leadership teams to turn data and research into insights that improve marketing strategy, execution and business outcomes.
Success in this role requires intellectual curiosity, strong technical and analytical judgement and an AI-forward, experimentation-oriented mindset. The Director will actively explore emerging technologies, experiment with new approaches, and help the team responsibly apply AI, automation, and advanced analytics to improve the quality, speed, and impact of its work.
Key Responsibilities:
  • Data Analysis & Insights
    • Analyzing marketing performance, survey, customer, and market data to assess effectiveness, identify trends, and inform strategic decisions
    • Translating complex data into visually compelling, actionable insights and presenting findings to internal teams and clients.
  • Data Infrastructure & Technology Oversight
    • Overseeing the MarTech and data stack, including pipelines, APIs, ELT tools, and Snowflake data warehouse.
    • Establishing and maintaining standards for data structure, naming conventions, warehouse organization, SQL development, and data transformation to improve scalability, consistency, and reporting efficiency.
    • Guiding and contributing to development of reporting dashboards (Tableau) to deliver actionable insights for internal teams and client stakeholders.
  • Advanced Analytics & Research
    • Leading the development of advanced analytics solutions, including predictive modeling, segmentation, regression analysis, and factor analysis to solve business challenges.
    • Leading and supporting the primary research function, setting methodology standards and reviewing research design to ensure findings are translated into clear, actionable recommendations for clients and internal teams.
    • Identifying and leading opportunities to combine research, performance data, advanced analytics, and emerging AI capabilities to develop new approaches to client marketing challenges.
  • Team Mentorship & Development
    • Leading, mentoring, and developing the data analytics and research team, establishing clear expectations and maintaining high standards for execution.
    • Establishing and refining workflows, best practices, training, and development opportunities that improve team capabilities and efficiency.
    • Managing individual and team performance through regular coaching, goal-setting, feedback, and performance evaluations.
    • Contributing to agency thought leadership and industry visibility as appropriate
  • Additional responsibilities and supporting tasks as needed.

Required Skills/Abilities:
  • Strong technical fluency in SQL and working knowledge of Python and/or R, with the ability to guide team members across data modeling, querying, automation, and analytical workflows.
  • Experience with modern marketing data and business intelligence ecosystems, including platforms such as Tableau, Google Analytics, paid media platforms, CRM systems, APIs, ELT/ETL tools, and cloud data warehouses such as Snowflake.
  • Strong ability to interpret, synthesize, and communicate complex data and research findings as clear, strategic, and actionable recommendations for clients and internal teams.
  • Strong knowledge of marketing research methodologies, including survey design, sampling, qualitative and quantitative approaches, segmentation, and research interpretation.
  • Working knowledge of statistical and advanced analytics methods, including hypothesis testing, experimental design, predictive analytics, segmentation modeling, and machine learning concepts.
  • Experience leading multidisciplinary teams across data, analytics, and research, with the ability to align technical execution with marketing and business objectives.
  • Working knowledge of data privacy, governance, and responsible data practices, including relevant regulations such as GDPR, CCPA and HIPAA.
  • Demonstrated curiosity and practical experience applying AI, automation, or emerging analytical technologies, with the judgment to evaluate their appropriate use, limitations, and business value
  • Strong judgment and attention to detail, with accountability for the accuracy, integrity, confidentiality, and quality of data, research, and insights delivered to stakeholders.

Education and Experience:
  • Bachelor's degree in marketing, data analytics, statistics, business, or a related field.
  • 10+ years of professional experience in data analysis, marketing analytics, or market research, with at least 3 years of leadership experience.
  • Agency experience preferred.

Other Requirements:
  • Occasional travel will be required for client meetings, conferences, professional training, or team collaboration sessions.
  • Availability for occasional after-hours work to meet deadlines or accommodate client needs.

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