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Senior Data Strategy Jobs in Illinois (NOW HIRING)

UL Standards and Engagement

Senior Data Engineer

Evanston, IL · On-site

$101K - $138K/yr

The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that ... Contribute to the development and execution of data strategy, identifying opportunities to expand ...

The University Of Chicago

Senior Data Architect

Chicago, IL · On-site

$155 - $175/hr

The Senior Data Architect provides technical and strategic leadership in the design, implementation, and optimization of scalable, secure, and high-performing cloud-based data solutions that support ...

New

Independence Pet Group

Senior Data Engineer

Chicago, IL · On-site

$109K - $148K/yr

Senior Data Engineer External name : Senior Data Engineer Established in 2021, Independence Pet ... Organized around four core pillars-Data Strategy & Planning, Infrastructure & Data Engineering ...

Stantec

Senior Data Architect

Chicago, IL · On-site

$69.25 - $92.75/hr

In this senior-level role, you will drive the strategic data architecture for the PM2PA application. You will be responsible for the design, implementation, and maintenance of the PM2PA data ...

hightower

Senior Data Architect

Chicago, IL · On-site +1

$150K - $175K/yr

Your Future Team As a Senior Data Architect, you will design and evolve Hightower's enterprise data ... What You'll Do Strategy & Planning * Define and implement long-term data architecture vision ...

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Senior Data Strategy information

What does a senior data strategy professional do?

A Senior Data Strategy professional is responsible for developing and overseeing the implementation of data-driven strategies that support an organization's business objectives. They analyze large datasets, identify trends and opportunities, and collaborate with stakeholders to align data initiatives with company goals. Their work also involves ensuring data quality, governance, and compliance, as well as leveraging data to drive innovation and competitive advantage.

What are the key skills and qualifications needed to thrive as a senior data strategy professional?

To thrive as a Senior Data Strategy professional, you need deep expertise in data analytics, business strategy, and data governance, often backed by a degree in a quantitative field and several years of relevant experience. Familiarity with analytics platforms (such as SQL, Python, and Tableau), data management frameworks, and certifications like Certified Data Management Professional (CDMP) are highly valuable. Strong communication, stakeholder management, and strategic thinking skills set top performers apart in this role. These skills are essential for aligning data initiatives with organizational goals and driving data-driven decision-making across the business.

How does a senior data strategy professional typically collaborate with cross-functional teams to drive data initiatives?

As a Senior Data Strategy professional, you will frequently work with cross-functional teams, including data engineers, business analysts, product managers, and executives. Your main responsibility is to align data initiatives with business goals, so you will facilitate communication between technical and non-technical stakeholders, ensuring data solutions are both technically feasible and strategically valuable. This role often involves leading workshops, defining data governance frameworks, and setting priorities for data projects. Effective collaboration and influence are key, as you will help translate complex data insights into actionable strategies for different departments.

What is the difference between Senior Data Strategy vs Data Analyst?

AspectSenior Data StrategyData Analyst
Required CredentialsBachelor's or Master's in Data Science, Business, or related field; experience in data strategyBachelor's in Data, Statistics, or related field; proficiency in data analysis tools
Work EnvironmentStrategic planning, cross-department collaboration, executive communicationData collection, cleaning, analysis, reporting
Employer & Industry UsageTech companies, consulting firms, large enterprisesRetail, finance, healthcare, and other sectors

While both roles involve working with data, Senior Data Strategy focuses on developing overarching data initiatives and aligning them with business goals, whereas Data Analysts primarily analyze data to generate reports and insights. The senior role requires strategic thinking and cross-functional collaboration, while Data Analysts focus on technical data processing and visualization.

What are the most commonly searched types of Data Strategy jobs in Illinois?

The most popular types of Data Strategy jobs in Illinois are:

What are popular job titles related to Senior Data Strategy jobs in Illinois?

For Senior Data Strategy jobs in Illinois, the most frequently searched job titles are:

What job categories do people searching Senior Data Strategy jobs in Illinois look for?

The top searched job categories for Senior Data Strategy jobs in Illinois are:

What cities in Illinois are hiring for Senior Data Strategy jobs?

Cities in Illinois with the most Senior Data Strategy job openings:

Senior Data Strategy jobs near you

Senior Data Engineer

UL Standards and Engagement

Evanston, IL • On-site

$101K - $138K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Re-posted 7 days ago

Job description

Job Description
We have an exciting opportunity for a Senior Data Engineer at UL Standards & Engagement This is a hybrid opportunity based in our Raleigh-Durham, NC or Evanston, IL office.
The Senior Data Engineer will support a diverse portfolio of standards and data science initiatives to advance the mission of UL Standards & Engagement (ULSE) to make the world safer, more secure, and sustainable. The Senior Data Engineer will design, develop, and scale enterprise data infrastructure that support analytics, machine learning, and emerging AI capabilities. Leveraging expertise in modern data architecture, cloud technologies, and advanced data engineering practices, the Senior Data Engineer will transform complex standards content and enterprise data into reliable, accessible, and scalable assets. The Senior Data Engineer will serve as a critical bridge between foundational data systems and advanced analytical applications, partnering closely with technical leaders, standards development engineers, and data scientists to shape enterprise data strategy, build infrastructure supporting Generative AI and Retrieval-Augmented Generation (RAG) solutions, and enable informed decision-making across the organization.
UL Standards & Engagement:
At UL Standards & Engagement (ULSE), we expand the boundaries of safety science to create a more secure and sustainable world. For more than a century, we have created new safety standards and shared our findings with academia, scientists, manufacturers, and policymakers across industries. We identify critical safety and sustainability issues, asking tough questions because we believe a safer world begins with knowledge.
Build a safer, more secure, and sustainable future with us. Join us and work with our Standards teams who develop the standards required to put that knowledge into practice.
What you'll learn and achieve:
As the Standards Publications Specialist, you will play a key role in the rapid growth of UL as you:
  • Design, build, and maintain scalable data architectures, platforms, and pipelines that support standards development, research, analytics, reporting, and AI-driven initiatives across the organization.

  • Lead the collection, integration, and management of complex datasets from diverse sources, including APIs, structured XML and HTML standards content, relational databases, and unstructured information repositories.

  • Develop and optimize enterprise ETL/ELT processes to ensure the accuracy, consistency, availability, and performance of data assets used across analytical and operational environments.

  • Architect and implement robust data models, metadata frameworks, and data quality controls that support enterprise reporting, machine learning applications, and large language model initiatives.

  • Design and deploy production-grade RAG infrastructure, including document ingestion, content chunking strategies, metadata enrichment, embedding generation, vector storage, and hybrid retrieval methodologies.

  • Evaluate, implement, and optimize database technologies and retrieval systems to support high-performance search, semantic context retrieval, and AI-enabled knowledge discovery.

  • Collaborate with business leaders, standards development subject matter experts, and technical teams to translate complex business challenges into scalable data solutions and infrastructure investments.

  • Establish and promote best practices for data governance, security, privacy, and lifecycle management while ensuring compliance with applicable regulations, intellectual property protections, and organizational standards.

  • Monitor, troubleshoot, and continuously improve data platform performance, reliability, scalability, and operational efficiency.

  • Contribute to the development and execution of data strategy, identifying opportunities to expand organizational capabilities through modern data engineering practices and emerging technologies.

  • Mentor and provide technical guidance to data engineers, analysts, and cross-functional team members, fostering adoption of scalable engineering standards and best practices.

  • Prepare and maintain technical documentation, architectural designs, and implementation roadmaps that support knowledge sharing and long-term sustainability of data platforms.

  • Make notable contributions to shared team goals and independently manage workload effectively, using appropriate communication and adherence to deliverable and timeline expectations.

  • Maintain continued awareness of industry trends and external context related to the portfolio.

  • Perform other duties as directed.

What you'll experience working at UL Standards & Engagement: We have pursued our mission of working for a safer, more secure, and sustainable world for nearly 130 years, embedding conscientious stewardship into everything we do.
  • People: Our people make us special. You'll work with a diverse team of experts respected for their independence and transparency and build a network, because our approach is collaborative. We collaborate across disciplines, organizations, and geographies to build the global scientific response that today's global challenges require.

  • Interesting work: Every day is different for us here. We see what's on the horizon and use our expertise to build the foundations of a safer future. You'll have the opportunity to push the boundaries of human understanding as part of a team working to advance the public good.

  • Grow and achieve: We learn, work, and grow together through targeted development, reward, and recognition programs.

  • Values. Four core values guide our work: collaboration, respect, integrity, and beneficence. By living our values, we inspire the trust essential to fulfilling our mission and foster partnerships that enable us to pursue a beneficent future in which we all can thrive.

  • Total Rewards: All employees at UL Standards & Engagement are eligible for bonus compensation. We offer comprehensive medical, dental, vision, and life insurance plans and a generous 401k matching structure of up to 5% of eligible pay. Moreover, we invest an additional 4% into your retirement saving fund after your first year of continuous employment. Depending on your role, you may be able to discuss flexible working arrangements with your manager. We also provide employees with paid time off, including vacation, holiday, sick, and volunteer days.

What makes you a great fit:
While no one candidate will embody every quality, the successful candidate will bring many of the following professional competencies and personal attributes:
  • Advanced application of data engineering principles, including data architecture, integration, modeling, governance, and large-scale pipeline development within complex technical environments.

  • Strong technical aptitude in modern cloud-based data platforms, database technologies, distributed processing frameworks, and AI-enabled data infrastructure.

  • Demonstrated expertise in designing scalable solutions that support advanced analytics, machine learning, large language models, and Retrieval-Augmented Generation applications.

  • Proficiency in project management with experience developing project timelines, scope, and managing project resources. Ability to apply independent judgement in selecting methods, assessing results, and refining solutions.

  • Strong communication and engagement skills, with ability to convey complex information to various stakeholder group, including technical and non-technical audiences.

  • Positive and collaborative interpersonal skills, with proven capability in fostering collaboration and partnership across teams to develop solutions with broad impact.

  • Commitment to continuous learning, technical excellence, and the adoption of emerging technologies that strengthen organizational capabilities and business outcomes.

  • Strategic thinker with ability to innovate and adapt in a dynamic industry landscape.

Professional education and experience requirements for the role include:
  • Bachelor's degree in Computer Science, Data Engineering, Information Systems, Software Engineering or related field. Advanced degree preferred.

  • Minimum 5 years of related work experience.

  • Progressively responsible experience designing, developing, and supporting enterprise-scale data platforms, architectures, and pipelines.

  • Experience manipulating large datasets, utilizing databases for advanced data management, and integrating third-party data sources.

  • Advanced proficiency in Python and SQL, with experience leveraging scripting, automation, and infrastructure configuration tools such as YAML, Bash, or PowerShell.

  • Experience working with relational and non-relational database technologies, including platforms such as SQL Server, Elasticsearch, Neo4j, Azure Cosmos DB, MongoDB, or comparable solutions.

  • Experience designing and implementing AI and RAG data infrastructure, including document processing, embedding generation, vector databases, and retrieval optimization techniques.

  • Working knowledge of structured standards content formats (e.g., XML, STS/NISO) or legal/regulatory document corpora is preferred.

About UL Research Institutes and UL Standards & Engagement
UL Research Institutes and UL Standards & Engagement are nonprofit organizations dedicated to advancing safety science research through the discovery and application of scientific knowledge. We conduct rigorous independent research and analyze safety data, convene experts worldwide to address risks, share knowledge through safety education and public outreach initiatives, and develop standards to guide safe commercialization of evolving technologies. We foster communities of safety, from grassroots initiatives for neighborhoods to summits of world leaders. Our organization employs collaborative and scientific approaches with partners and stakeholders to drive innovation and progress toward improving safety, security, and sustainability, ultimately enhancing societal well-being.
To learn more, visit our websites UL.org and ULSE.org.
Salary Range:
$89,602.01-$123,202.76
Pay type:
Salary

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