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Senior Director Data Science Jobs in Chicago Ridge, IL

The Hartford

Director of Data Science

Chicago, IL · On-site +1

$153K - $229K/yr

Dir Data Science - GD06AE We're determined to make a difference and are proud to be an insurance company that goes well beyond coverages and policies. Working here means having every opportunity to ...

Harbor

Senior Director, Data & AI Strategy

Chicago, IL · On-site +1

The Senior Director for Data & AI Strategy defines, leads, and grows Harbor's consulting offering that helps law firms modernize how they use data, knowledge, and emerging technologies. This role ...

NOVUS

Senior Director, Analytics

Chicago, IL · On-site

Reporting to the VP, Analytics & Data Science, the Senior Director will translate strategic direction into disciplined operating cadence, develop a team of analysts, and serve as the primary ...

Omnicom Media US H&S

Lead Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Hearts & Science has been inspired by confident marketers seeking business advantage in a world of ... Role Overview This role will be reporting to the Senior Director, Data Engineering and be part of ...

Meta

Director, Marketing Data Science

Chicago, IL

$253K/yr

We are seeking a highly experienced Senior Marketing Data Science Leader to drive measurement ... Director, Marketing Data Science Responsibilities: * Lead Measurement & Analytics: Oversee the ...

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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.

Sr. Product Manager- Data Warehouse (Remote)

Inspira Financial

Oak Brook, IL • Remote

$127K - $168K/yr

Full-time

Posted 21 days ago

Inspira Financial rating

8.0

Company rating: 8.0 out of 10

Based on 16 frontline employees who took The Breakroom Quiz

Job description

The Sr.Product Manager, Data Warehouse will report to the Sr.Director, Data Science & Analytics in the Data Science & Analytics organization.This role will lead the product strategy and execution for our enterprise data warehouse capabilities on Snowflake-enabling trusted, governed, and performant analytics data for business intelligence, reporting, self-service exploration, and AI/ML applications.You will be a trusted partner to data engineering, architecture, security, governance, and business stakeholders to deliver measurable value through improved data quality, usability, reliability, and time-to-insight.

You will own the product vision and roadmap for core warehouse capabilities in Snowflake, including data modeling (dimensional/data vault whereappropriate), semantic and metrics layers, Generative AI features, workload performance and SLAs, governed data access, lineage and observability, and enablement for BI and analytics tooling.This is a highly cross-functional role requiring strong product leadership, understanding of the business meaning of the data, deep fluency in modern data warehousing, and a robust understanding of Generative AI.

Duties & Responsibilities:

  • Own the product vision and roadmap for the enterprise data warehouse on Snowflake to enable trusted analytics at scale.
  • Partner with business stakeholders, analytics, and data engineering to translate reporting and decisioning needs into clear product requirements, data contracts, and prioritized warehouse initiatives.
  • Develop and execute product roadmaps with measurable outcomes (OKRs/KPIs) such as time-to-data, query performance, data quality, adoption, and cost efficiency.
  • Define the warehouse product strategy across ingestion, transformation, modeling, serving, and consumption layers; balance short-term delivery with long-term architecture and platform evolution.
  • Partner with Data Science and Data Engineering to develop and execute on a roadmap for applications that use Snowflake's Generative AI features.
  • Collaborate with Architecture, Security, Privacy, and Data Governance to ensure the warehouse meets governance, access control, retention, audit, and compliance requirements.
  • Establish and communicate warehouse SLAs/SLOs (freshness, availability, performance) and lead incident review/continuous improvement with engineering partners.
  • Drive a 1-3 yearcapability roadmap (e.g., semantic layer/metrics store, self-service data products, workload isolation, data observability, catalog/lineage) and deliver iteratively.
  • Prioritize features and investments using customer feedback, analyticsusagetelemetry, technical feasibility, risk, and business impact.
  • Develop business cases for data warehouse initiatives (value, risk reduction, productivity, scalability) and track outcomes against OKRs and KPIs.
  • Define andmaintainproduct and platform dashboards (adoption, performance, freshness, quality, cost) and provide regular updates to stakeholders.
  • Provide guidance and mentorship to product managers and analysts; set standards for warehouse product discovery, delivery, and stakeholder communication.
  • Identifyopportunities to improve scalability, reliability, latency, and cost efficiency of Snowflake workloads through workload management (virtual warehouses, resource monitoring), query optimization, and FinOps practices.
  • Partner with engineering to deliver robust warehouse capabilities (modeling patterns, semantic layer, query optimization, data observability, CI/CD for data, and environment management).
  • Operate effectively with minimal direction; navigate ambiguity andshiftingpriorities whilemaintainingclear delivery plans and stakeholder alignment.
  • Other duties as assigned.

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