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Director Data Science Rotational Program Jobs in Chicago, IL

Ferrara

Director, Data and AI

Chicago, IL · On-site

... programs. * Establish a single source of truth for critical master data entities, reducing ... Partner with data science and analytics teams to deliver well-governed, high-quality data products ...

Caterpillar

Data Science/Analyst

Chicago, IL · On-site

Launch your data science or technical analyst career by building AI and analytics solutions that ... Health Lifestyle Programs* * Employee Assistance Program* * Voluntary Benefits and Employee ...

Reyes Holdings

Data Scientist

Rosemont, IL

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

Reyes Holdings

Data Scientist

Rosemont, IL

Bachelor's Degree in Data Science, Applied Mathematics, Computer Science, Statistics, Business ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

Reyes Holdings

Data Scientist

Rosemont, IL · On-site

$99K - $124K/yr

Use the most effective machine learning techniques to answer data science questions, define data ... Requests for accommodation should be directed to your point of contact in the Talent Acquisition or ...

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Director Data Science Rotational Program information

What are the key skills and qualifications needed to thrive as a Director in a Data Science Rotational Program, and why are they important?

To thrive as a Director in a Data Science Rotational Program, you need advanced expertise in data analytics, machine learning, statistical modeling, and a graduate degree in a quantitative field. Familiarity with tools such as Python, R, SQL, cloud-based platforms, and proficiency in leading data-driven projects is essential, alongside recognized certifications like Certified Analytics Professional (CAP) or AWS Certified Data Analytics. Outstanding leadership, mentorship, and cross-functional communication skills set exceptional candidates apart. These competencies ensure strong team performance, innovation, and effective alignment of data science initiatives with organizational goals.

What can participants expect in terms of mentorship and cross-functional collaboration during the Director Data Science Rotational Program?

Participants in the Director Data Science Rotational Program can expect structured mentorship from senior leaders and exposure to various business units, such as product, engineering, and operations. The program is designed to foster collaboration across teams, offering opportunities to work on high-impact projects and develop a holistic understanding of data-driven decision-making. This structure not only helps participants build a diverse skill set but also expands their professional networks, preparing them for future leadership roles in data science.

What is a Director Data Science Rotational Program?

A Director Data Science Rotational Program is a leadership development initiative designed to groom experienced data science professionals for top executive roles. Participants rotate through various departments or projects, gaining exposure to different facets of data science, analytics, and business strategy within an organization. The program emphasizes cross-functional skills, leadership, and the ability to drive data-driven decision-making at a high level. It often includes mentorship, formal training, and hands-on assignments to prepare participants for senior leadership positions in data science.
What are the most commonly searched types of Data Science Rotational Program jobs in Chicago, IL? The most popular types of Data Science Rotational Program jobs in Chicago, IL are:
Director Data Science Rotational Program jobs near you
Director, Data and AI

Director, Data and AI

Ferrara

Chicago, IL • On-site

Full-time

Medical, Dental, Retirement, PTO

Posted 18 days ago

Ferrara Candy rating

7.8

Company rating: 7.8 out of 10

Based on 14 frontline employees who took The Breakroom Quiz

99th of 397 rated food and drinks producers

Job description

Work Location: Chicago
Due to the highly interactive and team-based nature of this role, in-person attendance for most of the workweek (i.e., 3 days or more) is essential for: effective communication including during in-person meetings, strong supervision, real-time problem-solving, and participation in cross-functional initiatives.
Want to make an impact?
Reporting directly to the VP, Data, Analytics & AI, the Director, Data and AI is a strategic change leader responsible for defining governance frameworks and driving organizational adoption across master data, data products, and AI tools. This pivotal role establishes and leads the enterprise's integrated governance and adoption strategy, ensuring our most critical data assets-customers, products, vendors, and materials-are governed consistently and leveraged effectively across all business systems. The Director will architect and operationalize governance approaches for master data (SAP S/4HANA, commercial platforms, supply chain systems), data products (Databricks), and AI tools (Claude, Microsoft Copilot), while mobilizing the organization to embrace these capabilities. This leader will work cross-functionally to stand up governance processes, accountability structures, and adoption mechanisms that embed data and AI into decision-making and drive operational excellence.
Successful candidates will have demonstrated success building MDM and data management capabilities in complex, multi-ERP environments and will bring the business acumen to align data strategy with enterprise objectives. A background in CPG, food & beverage, or consumer goods is strongly preferred.
The scope spans master data governance, enterprise data integration, data quality, analytics enablement, and AI/ML strategy across our ERP landscape (SAP S/4HANA), commercial platforms, supply chain systems, Databricks, and downstream analytics environments. This leader works closely with the CIO, IT leadership, VP of Analytics, and cross-functional business partners to build a high-integrity, AI-ready data environment that enables analytics, machine learning, and operational excellence.
Ways you will make a difference
Data Integration & Enterprise Data Architecture
  • Define and govern data architecture standards and decisions for scalability, reliability, performance, and cost optimization across on-premise and cloud environments, ensuring enterprise alignment
  • Collaborate with IT applications and support integration teams to ensure consistent master data flows across ERP, CRM, WMS, and analytics platforms
  • Establish data lineage, documentation, and discoverability standards across the enterprise
  • Ensure compliance with data privacy and retention regulations (GDPR, CCPA, HIPAA, SOX where applicable)

Data Quality & Integrity
  • Define and operationalize data quality KPIs, including accuracy, completeness, consistency, and timeliness metrics across all master data domains.
  • Implement automated data quality monitoring, cleansing workflows, and enrichment processes to maintain high-integrity datasets.
  • Drive root cause analysis on systemic data quality issues and implement sustainable corrective action programs.
  • Establish a single source of truth for critical master data entities, reducing duplication and ambiguity across business systems.

AI & Analytics Enablement
  • Define and execute a flexible, pragmatic AI governance strategy and adoption roadmap that drives responsible use of diverse AI tools-Claude (for research and analysis), Microsoft Copilot (for productivity), Databricks Genie (for analytics automation)-across the organization
  • Establish governance practices that support AI/ML initiatives, including model training, inference, and deployment
  • Partner with data science and analytics teams to deliver well-governed, high-quality data products that accelerate business intelligence
  • Champion AI literacy and responsible AI adoption across the organization by establishing governance guardrails, training programs, and best practices that enable enterprise-wide capability building
  • Foster a data-driven, AI-ready culture by championing best practices

Master Data Management Strategy & Governance
  • Define and execute the enterprise Master Data Management strategy, roadmap, and operating model in alignment with IT and business strategy
  • Establish governance frameworks, data ownership accountability, and stewardship processes for all master data domains (product, customer, vendor, material, finance)
  • Lead the MDM Center of Excellence, setting standards, policies, and processes for data definition, creation, maintenance, and archiving
  • Own the SAP MDG platform, including data model, governance workflows, BRF+ rules, change request configuration, and integration with SAP S/4HANA
  • Lead implementation, enterprise adoption, and execution of the SAP MDG roadmap
  • Govern master data processes during M&A integrations, ERP migrations, and other transformation initiatives

Governance & Adoption Leadership
  • Define comprehensive governance approaches and frameworks for master data, data products, and AI tools that establish clear decision rights, accountability models, and operational standards across the enterprise
  • Stand up governance processes and operational mechanisms that institutionalize master data quality, data product stewardship, and responsible AI practices across business units and functions

Skills that will make you successful
  • Advanced proficiency with SAP MDG and SAP S/4HANA master data architecture
  • Hands-on experience with enterprise MDM platforms and data governance tools
  • Strong command of data governance frameworks (DAMA-DMBOK, DCAM) and data quality methodologies
  • Demonstrated ability to build and develop high-performing teams
  • Strong ability to influence cross-functional stakeholders at all levels
  • Proven change management and organizational transformation experience
  • Excellent communicator with strong executive presence

Experiences that will support your success
  • Education: Bachelor's degree required; Master's degree in Data Management, Computer Science, Information Systems, Business Administration, or related field preferred.
  • 15 years of progressive experience in data management with at least 5 years in a senior leadership role for enterprise MDM or data governance
  • Demonstrated success building MDM capabilities in complex, multi-ERP environments
  • Strong proficiency with cloud data platforms
  • Hands-on expertise with SAP MDG, SAP S/4HANA master data objects, and at least one enterprise MDM platform
  • 5+ years in a people leadership role with team hiring and development
  • Exposure to AI/ML tools and workflows

Preferred Qualifications
  • Experience in CPG, food & beverage, retail, or similarly complex, high-SKU-count industries
  • Proven success governing master data through ERP consolidations or SAP S/4HANA migrations
  • Experience building or scaling data analytics centers of excellence
  • Track record in developing and launching AI pilots or enterprise AI governance frameworks
  • Certifications: CDMP, DAMA, SAP MDG, or cloud platform certifications
  • Experience with Databricks, particularly in governance and data quality

What We Offer
At Ferrara, we're proud to support our employees by providing comprehensive benefits such as health insurance, dental insurance, a 401(k), and paid time off (PTO). Eligible employees may also receive an annual bonus based on company performance. Learn more about our benefits at https://flimp.live/Ferrara-Candy-2025-OE-QR
Compensation
The salary range for this role is $141,216 - $197,702 annually.
EQUAL OPPORTUNITY
We are proud to be an equal opportunity employer. In order to provide equal employment and advancement opportunities to all qualified applicants and employees, employment decisions and opportunities at Ferrara will be based on merit, qualifications, and abilities, without regard to race, color, creed, religion, sex, sexual orientation, gender identity and expression, marital or civil union status, national origin, ancestry, citizenship, age, military or veteran status, disability, handicap, genetic information, pregnancy (childbirth or related medical condition), or on any other basis prohibited by law. This policy governs all aspects of employment, including selection, job assignment, compensation, discipline, termination, and access to benefits and training.
Nearest Major Market: Chicago

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