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Senior Director Data Science Jobs in Chicago Ridge, IL

NOVUS

Director, Data Science

Chicago, IL · On-site

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... This is a senior, hands-on role spanning the full breadth of modern marketing measurement including ...

Novus Print Media

Director, Data Science

Chicago, IL · Hybrid

We are hiring a Director of Data Science to design, build, and deliver advanced measurement and ... This is a senior, hands-on role spanning the full breadth of modern marketing measurement including ...

Inmar

Director, Data Science (MarTech)

Chicago, IL · On-site

The Director, Data (MarTech) is responsible for applying data exploration and visualization ... Demonstrate superior collaboration with senior leadership in identifying prospective data science ...

Omnicom Media US

Director, Data Science

Chicago, IL · On-site

$140K - $170K/yr

Experience managing data scientists and end-to-end analytics projects * Direct exposure to client media, marketing, and analytics teams Our culture and working style within the group fosters a ...

84.51˚

Director Data Science (P2415)

Chicago, IL · On-site

The Director of Data Science will lead a team of data scientists in developing innovative solutions ... a senior level • Internal or External client exposure and strong understanding of client ...

Omnicom Media US H&S

Director, Data Science

Chicago, IL · On-site

$120K - $175K/yr

Director, Data Science The Data Science team is pivotal in the delivery of modern agency services. We are tightly integrated with marketing science teams to deliver on and exceed our clients ...

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All JobsSenior Director Data Science JobsSenior Director Data Science Jobs in Chicago Ridge, IL

Senior Director Data Science information

See Chicago Ridge, IL salary details

$25.5K

$81.9K

$166.8K

How much do senior director data science jobs pay per year?

As of Jun 15, 2026, the average yearly pay for senior director data science in Chicago Ridge, IL is $81,897.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,300.00 and $105,100.00 per year, depending on experience, location, and employer.

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

To thrive as a Senior Director Data Science, you need deep expertise in advanced analytics, machine learning, statistical modeling, and a strong educational background in a quantitative field, often with a master's or PhD. Familiarity with data platforms (like AWS, Azure), programming languages (such as Python, R), and leadership in deploying enterprise-level data solutions is vital, along with experience managing large teams. Exceptional strategic thinking, communication, and stakeholder management skills set top candidates apart in this role. These abilities are crucial for driving data-driven business strategies, leading high-performing teams, and ensuring impactful outcomes at the organizational level.

What does a Senior Director of Data Science do?

A Senior Director of Data Science leads and oversees the data science strategy for an organization, managing teams of data scientists, analysts, and engineers. They are responsible for aligning data initiatives with business goals, guiding advanced analytics projects, and ensuring the effective use of data to drive decision-making. This role often involves collaborating with other executives to develop data-driven solutions, establishing best practices, and setting the vision for how data science supports organizational growth.

How does a Senior Director of Data Science typically collaborate with other departments within an organization?

A Senior Director of Data Science frequently partners with leaders from product, engineering, marketing, and business strategy to align data-driven insights with organizational goals. They facilitate cross-functional collaboration by translating complex analytics into actionable business recommendations, ensuring that data science initiatives support top-level priorities. This role often leads a team of data scientists while serving as a bridge between technical teams and non-technical stakeholders, fostering a culture of data-informed decision-making throughout the company.

What is the difference between Senior Director Data Science vs Data Science Manager?

AspectSenior Director Data ScienceData Science Manager
ResponsibilitiesOversees multiple teams, sets strategic vision, aligns data science initiatives with business goalsManages day-to-day operations of data science teams, executes projects, and ensures deliverables
Required CredentialsAdvanced degree (Master's/PhD), extensive experience, leadership skillsRelevant degree, experience in managing data projects, technical expertise
Work EnvironmentStrategic, cross-departmental, executive collaborationOperational, team-focused, project management

The Senior Director Data Science typically holds a higher strategic leadership role, overseeing multiple teams and aligning data initiatives with company goals. In contrast, a Data Science Manager focuses on managing teams and executing projects. Both roles require strong technical backgrounds, but the Senior Director emphasizes strategic vision and leadership across departments.

What cities near Chicago Ridge, IL are hiring for Senior Director Data Science jobs? Cities near Chicago Ridge, IL with the most Senior Director Data Science job openings:
Senior Director Data Science jobs near you
Infographic showing various Senior Director Data Science job openings in Chicago Ridge, IL as of June 2026, with employment types broken down into 100% Full Time. Highlights an 89% In-person, and 11% Remote job distribution, with an average salary of $81,897 per year, or $39.4 per hour.

Senior Director, Data Science & Gen AI

Bcbsa

Chicago, IL

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 5 days ago

Job description

Job Description Summary
The Senior Director, Data Science and GenAI is a senior leadership role focused on leading the development and application of Generative AI and advanced machine learning capabilities embedded across BCBSA's data and analytic assets. This role strategically sets the direction and portfolio of activities to embed AI into BCBSA's Blue System of intelligence data assets, and work across the BCBS System to make those capabilities available to BCBS Plans.
This role sets the technical and analytic direction for Generative AI and Machine Learning capabilities embedded across BCBS System data assets and BHI's Plan-level product offerings, operating in environments characterized by high ambiguity, rapid technological evolution, and complex data ecosystems. The Senior Director applies deep expertise in advanced analytics, machine learning, and GenAI to evaluate tradeoffs, establish standards, and guide critical decisions related to model selection, architecture, performance, scalability, and responsible AI practices. The role is accountable for navigating complex, non-routine problem spaces and translating emerging technologies into sustainable, enterprise-grade product capabilities with measurable business impact on cost of care, quality improvement, product differentiation, and revenue growth.
This role serves as a subject matter expert across the BCBS System and the broader healthcare industry in advanced data science, applying machine learning, statistical, and mathematical techniques across heterogeneous and complex healthcare data. This role leads BCBSAs efforts to innovate and implement emerging AI technologies in its enterprise data and analytics assets, and acts as a executive thought leader to BCBSA technology and analytics committees . This leader works within BCBSA and BCBS Plans to set standards and best practices for computational, algorithmic, and predictive analytics to ensure solutions are scalable, responsible, and enterprise-ready.
Working closely with Product, Engineering, and other BHI data science teams, the Senior Director leads end-to-end GenAI initiatives-from opportunity identification and proof-of-concept development through validation and production deployment-while maintaining a hands-on role in the most complex, high-risk, or novel analytic and GenAI designs. The role also mentors a high-performing data science team and advises leadership on the effective use of Generative AI to drive product differentiation and measurable business impact.

Job Description

Responsible for settingthe enterprise technical and analytic strategy for Generative AIfor BCBSA's BSI and national data assets, including long-term vision, architectural direction,capability roadmap, and standards for scalable, responsible AI embedded across all products.

Serve as a trusted advisor to executive leadership, with accountability for key technical and analytic decisions, translating complex models and analytic findings into actionable insights that inform and activate business strategies.

Lead and individually contribute to large-scale data science initiatives, including end-to-end machine learning and GenAI model development, experimentation, and implementation.

Act as the subject matter expert in computational algorithms, model evaluation, and advanced data interpretation to assess performance, tradeoffs, and impact.

Lead and manage data science and machine learning R&D efforts acrossmultiple product lines, data domains (medical, pharmacy, emerging clinical data), and customer-facing platforms.

Partner with ProductStrategytoidentifyand apply Generative AI and advanced analytics within the product development process, with a focus on emerging healthcare trends and priorities.

Collaborate closely with Data Engineering to design scalable applications andoptimaldataarchitectureleveragingstructured and unstructured data.

Establish and govern enterprise standardsand best practices for analysis plans, ensuring rigor, reproducibility, ethical AI use, and compliance with regulatory and security requirements.

Drive education and adoption of data science and Generative AI across the organization by communicating vision, use cases, and value.

Manage and develop senior data science talent, supporting professional growth andsuccessionreadiness.

Manage external analytics vendors and partnerships, including relationships with AI vendors and academic experts in LLMs and NLP.

Work with executive leadership and cross-functional stakeholders to define requirements and develop AI and analytics R&D and strategic roadmaps.

Evaluate and implement new AI, ML, and Generative AI tools and technologies to enhance organizational capability and competitiveness.

Oversee the development of training datasets, data preprocessing pipelines, and testing frameworks to support advanced analytics and AI solutions.

The posting range for this position is:
$215,000.00-$295,000.00

Qualifications:

Education

  • Master's Degree Focused on machine learning (ML) or adjacent fields, including Analytics, Data Science, Statistics, Mathematics, Computer Science, or a related field

Experience

  • At least 15 years experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects.

  • Experience withstreaming and near-real-time data in healthcare (such as HL7 streams or FHIR applications) industry.

  • Experience withestablishingand governing a Machine Learning Operationalization (MLOps) program, including the use ofMLOpstools (e.g.,MLFlow, Kubeflow).

  • Experience with major cloud computing platforms, AWS experience is highly preferred.

  • Experience with cloud-based data-as-a-service platforms (e.g., Snowflake, Synapse, Databricks).

  • Experience with Agile development practices, including development frameworks (e.g., Scrum or Kanban) and tools for continuous integration and deployment (CI/CD).

  • Experience working with Generative AI (GenAI), Large Language Models (LLM), Natural Language Processing (NLP), and other advanced analytics.

Knowledge Skills and Abilities

  • Strong fundamental knowledge of probability theory, stochastic systems, Bayesian inference, predictive modeling, supervised/unsupervised/deep learning Natural language processing experience, particularly in the biological and medical domains.

  • A record of successful formulation, approval, and implementation of organizational strategies around advanced analytics in AI/ML.

  • Expertisein using machine learning and analytic tools such as SQL, R, and/or Python to analyze data in applied professional projects.

  • Familiarity with relational databases (e.g., MS SQL, Oracle, Postgres, MySQL).

  • Expertise in visualizing and manipulating big data sets.

  • Strong verbal and written communications skills with the demonstrated ability to explain complex technical concepts to a lay audience.

  • Demonstrated ability to deliver successful, profitable, repeatable, referenced analytic solutions.

  • Proven ability to develop staff to deliver world-class analytic solutions.

  • Knowledgeable in complex modeling topics, advanced statistics/biostatistics, algorithm design, and ML software packages.

    #LI_HYBRID

    The posted salary range is the lowest to highest salary we, in good faith, believe we would pay for this role at the time of this posting. We may ultimately pay more or less than the hiring range and this hiring range may also be modified in the future. A candidate's position within the hiring range may be based on several factors including, but not limited to, specific competencies, relevant education, qualifications, certifications, relevant experience, skills, seniority, performance, shift, travel requirements, and business or organizational needs.This job is also eligible for annual bonus incentive pay.

    We offer a comprehensive package of benefits including paid time off, 11 holidays, medical/dental/vision insurance, generous 401(k) matching, lifestyle spending account and many other benefits to eligible employees.

    Note: No amount of pay is considered to be wages or compensation until such amount is earned, vested, and determinable. The amount and availability of any bonus, commission, or any other form of compensation that are allocable to a particular employee remains in the Company's sole discretion unless and until paid and may be modified at the Company's sole discretion, consistent with the law.

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