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Executive Predictive Analytics Jobs in Chicago, IL

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Executive Predictive Analytics information

See Chicago, IL salary details

$27.3K

$96.4K

$189.5K

How much do executive predictive analytics jobs pay per year?

As of Aug 7, 2026, the average yearly pay for executive predictive analytics in Chicago, IL is $96,372.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $124,100.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an executive in predictive analytics, and why are they important?

To thrive as an Executive in Predictive Analytics, you need advanced expertise in statistical analysis, data modeling, and business strategy, usually supported by a degree in data science, statistics, or a related field. Familiarity with analytics platforms such as SAS, R, Python, and big data tools, as well as certifications like Certified Analytics Professional (CAP), is highly beneficial. Exceptional leadership, communication, and strategic decision-making abilities set standout executives apart in this field. These skills enable leaders to drive data-informed organizational growth, align analytics initiatives with business objectives, and foster innovation across teams.

How does an executive predictive analytics professional typically collaborate with other departments to drive business outcomes?

An Executive Predictive Analytics professional often works closely with teams across marketing, finance, operations, and IT to align advanced analytics initiatives with broader business goals. They translate complex data insights into actionable strategies, facilitating data-driven decision-making at the executive level. Regular cross-functional meetings and workshops are common to ensure that predictive models are integrated into business processes and that stakeholders understand their impact. Collaboration is key, as these executives must communicate technical findings in an accessible way to influence strategic planning and organizational change.

What is an executive predictive analytics?

Executive Predictive Analytics refers to the use of advanced data analysis techniques and machine learning models by organizational leaders to forecast future business outcomes and inform strategic decisions. Executives use predictive analytics to anticipate market trends, identify risks and opportunities, and optimize resource allocation. This role requires a combination of business acumen, data science knowledge, and the ability to translate complex data into actionable insights for high-level decision-making.

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

AspectExecutive Predictive AnalyticsData Scientist
Required CredentialsOften requires advanced degrees in business, analytics, or related fields; certifications in analytics toolsTypically requires degrees in computer science, statistics, or mathematics; certifications in programming and data analysis
Work EnvironmentStrategic, executive-level settings; focuses on business impact and decision-makingTechnical environment; involves data modeling, coding, and statistical analysis
Employer & Industry UsageUsed in corporate strategy, finance, marketing, and operations departmentsEmployed across tech, finance, healthcare, and research organizations

While both roles involve data analysis and predictive modeling, Executive Predictive Analytics focuses on strategic insights for leadership decision-making, whereas Data Scientists handle technical data modeling and algorithm development. The roles often overlap but differ mainly in scope and target audience.

What are the most commonly searched types of Predictive Analytics jobs in Chicago, IL? The most popular types of Predictive Analytics jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Executive Predictive Analytics jobs? Cities near Chicago, IL with the most Executive Predictive Analytics job openings:

Director, Commercial Insights & Analytics

Wolters Kluwer

Chicago, IL • On-site

$137K - $246K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted yesterday

New


Wolters Kluwer rating

9.0

Company rating: 9.0 out of 10

Based on 28 frontline employees who took The Breakroom Quiz

33rd of 242 rated software companies


Job description

The Director, Commercial Insights & Analytics leads the commercial analytics, market insights, and competitive intelligence strategy for the Health Division, enabling data-driven decisions that improve sales effectiveness, customer growth, retention, and commercial performance. This role owns the KPIs, data infrastructure, dashboards, predictive analytics, and competitive intelligence that measure and optimize the end-to-end customer lifecycle - from pipeline and forecasting to pricing, renewals, and expansion.

As a strategic partner to Sales, Marketing, Finance, Product, and Enterprise Data teams, you will deliver actionable insights and market context that improve forecasting, pipeline health, pricing, sales productivity, renewals, and customer expansion, while tracking competitor positioning and market shifts to keep commercial strategy ahead of the market. Leveraging Salesforce, Tableau, Power BI, SQL, AI, and advanced analytics, you will transform commercial and market data into executive-ready insights that drive growth and operational excellence.

Leading a high-performing analytics, competitive intelligence, and market research team, you will establish enterprise analytics standards, champion AI-driven decision-making, and serve as a trusted advisor to commercial leadership on business performance, market dynamics, and strategic priorities.

Key Responsibilities

  • Define and execute the commercial analytics and market insights strategy supporting revenue growth, customer retention, and sales productivity.
  • Develop KPI frameworks, executive dashboards, and predictive analytics models that improve commercial performance and decision-making speed.
  • Own the organization's competitive intelligence program - tracking competitor positioning, pricing, product moves, and market share shifts, and translating findings into battlecards, playbooks, and sales enablement content.
  • Measure the effectiveness and ROI of sales, marketing, pricing, and customer success initiatives, and use market/competitive context to explain performance against the broader landscape.
  • Conduct market sizing, segmentation, and industry trend research (TAM/SAM) to inform go-to-market strategy, territory design, and resource allocation.
  • Partner with Sales, Marketing, Product, Finance, and Enterprise Data teams to deliver actionable business insights and ensure market intelligence is embedded in planning and incentive design.
  • Lead the commercial analytics roadmap, including AI, automation, reporting, and data governance capabilities, establishing enterprise-wide analytics standards.
  • Deliver the data, forecasting models, and competitive context that power executive business rhythms, including QBRs, forecast reviews, account reviews, and annual planning.
  • Build, coach, and develop a high-performing Commercial Insights & Analytics team, fostering a culture of rigor, curiosity, and continuous improvement.
  • Serve as a trusted advisor to executive leadership, influencing decision-making through data-driven recommendations and identifying growth opportunities and competitive risks.

Qualifications

  • Bachelor's degree in Business, Analytics, Finance, Data Science, or a related field.
  • 10+ years of experience in Commercial Analytics, Sales Operations, Revenue Operations, Business Intelligence, Market Insights, Competitive Intelligence, or Strategy.
  • 5+ years leading analytics, business intelligence, or competitive intelligence teams.
  • Experience supporting high-growth SaaS organizations.
  • Expertise with Salesforce, Tableau, Power BI, SQL, forecasting, pipeline analytics, market segmentation, and commercial performance measurement.
  • Strong executive communication, stakeholder management, and analytical leadership skills.

Preferred

  • Master's degree or MBA.
  • Experience with AI/ML, predictive analytics, and commercial transformation.
  • Knowledge of healthcare information, clinical technology, or subscription-based business models.
  • Familiarity with competitive intelligence platforms (e.g., Klue, Crayon).
Our Interview Practices

To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we're getting to know you-not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process.

Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.

Compensation:

$137,900.00 - $246,350.00 USDThis role is eligible for Bonus.

Compensation range listed is based on primary location of the position. Actual base salary offer is influenced by a wide array of factors including but not limited to skills, experience and actual hiring location. Your recruiter can share more information about the specific offer for the job location during the hiring process.

Additional Information:

Wolters Kluwer offers a wide variety of competitive benefits and programs to help meet your needs and balance your work and personal life, including but not limited to: Medical, Dental, & Vision Plans, 401(k), FSA/HSA, Commuter Benefits, Tuition Assistance Plan, Vacation and Sick Time, and Paid Parental Leave. Full details of our benefits are available upon request.


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