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Vice President Data Engineering Jobs in Chicago, IL

Socket.dev

Vice President, Data Enablement

Chicago, IL · On-site

$135 - $194/hr

Overview The VP, Data Engineering is a senior technology and data leader responsible for defining and advancing PHM's enterprise data engineering strategy, architecture, and capabilities. This leader ...

Follett

VP Engineering Comm Platform

Westchester, IL · On-site

$178K - $230K/yr

The VP of Engineering, Commerce Platform owns the technical strategy, architecture, and delivery of ... Maintain working knowledge of data privacy and security considerations relevant to ecommerce and ...

ZN001 Zeno US

Senior Vice President, Analytics

Chicago, IL · On-site

$160 - $235/hr

SVP, Data & Intelligence Do you enjoy building the systems, processes and teams that enable exceptional client work? Are you energized by helping analytics organizations scale through operational ...

Zero Hash

VP of Engineering, Trade

Chicago, IL · On-site +1

$185K - $239K/yr

... market data, and FIX connectivity * Partner directly with the CTO, SVP Engineering, product ... leadership, and zerohash's other VP(s) of Engineering to set org-wide technical standards ...

zerohash

VP of Engineering, Trade

Chicago, IL · On-site +1

$185K - $239K/yr

... market data, and FIX connectivity * Partner directly with the CTO, SVP Engineering, product ... leadership, and zerohash's other VP(s) of Engineering to set org-wide technical standards ...

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All JobsVice President Data Engineering JobsVice President Data Engineering Jobs in Chicago, IL

Vice President Data Engineering information

See Chicago, IL salary details

$115.9K

$222.1K

$410.5K

How much do vice president data engineering jobs pay per year?

As of Sep 5, 2026, the average yearly pay for vice president data engineering in Chicago, IL is $222,095.00, according to ZipRecruiter salary data. Most workers in this role earn between $185,400.00 and $239,000.00 per year, depending on experience, location, and employer.

What is a vice president data engineering?

A Vice President of Data Engineering is a senior executive responsible for leading and overseeing the data engineering function within an organization. They manage teams that design, build, and maintain data architectures, pipelines, and infrastructure to support data analytics and business intelligence. The VP of Data Engineering collaborates closely with other executives to define data strategy, ensure data quality, and enable data-driven decision-making across the company. Their role often includes setting technical direction, managing budgets, and ensuring compliance with data governance and security standards.

What are some common challenges faced by a vice president data engineering, and how can they be addressed?

A Vice President of Data Engineering often deals with challenges such as aligning data strategy with business goals, managing cross-functional teams, and ensuring data quality and security at scale. Balancing rapid innovation with system reliability can also be demanding, as can integrating new technologies with legacy systems. Success in this role typically involves strong communication with stakeholders, fostering a culture of collaboration, and investing in ongoing staff development to keep pace with evolving data landscapes.

What are the key skills and qualifications needed to thrive as a vice president data engineering, and why are they important?

To thrive as a Vice President of Data Engineering, you need deep expertise in data architecture, large-scale data systems, and team leadership, often supported by a degree in computer science or a related field. Familiarity with cloud platforms (like AWS, Azure, or Google Cloud), big data technologies (such as Hadoop, Spark), and relevant certifications (e.g., AWS Certified Data Analytics) is highly valued. Strategic thinking, strong communication, and the ability to mentor and motivate teams are crucial soft skills for success in this executive role. These skills and qualities are essential to drive data strategy, ensure robust system performance, and align engineering efforts with business objectives.

What is the difference between Vice President Data Engineering vs Data Engineering Manager?

AspectVice President Data EngineeringData Engineering Manager
ResponsibilitiesStrategic leadership, overseeing data infrastructure, setting visionTeam management, project execution, technical oversight
Required CredentialsBachelor's/Master's in CS, extensive experience, leadership skillsBachelor's/Master's in CS, technical expertise, management experience
Work EnvironmentExecutive-level, cross-departmental collaborationTeam-based, project-focused, technical environment
Industry UsageCommon in large organizations, strategic rolesWidespread across companies, operational roles

The Vice President Data Engineering focuses on strategic leadership and long-term vision for data infrastructure, while the Data Engineering Manager handles day-to-day team management and project execution. Both roles require strong technical backgrounds, but the VP role emphasizes leadership and strategy, whereas the manager role is more hands-on with technical implementation.

What are the most commonly searched types of Data Engineering jobs in Chicago, IL?

The most popular types of Data Engineering jobs in Chicago, IL are:

What are popular job titles related to Vice President Data Engineering jobs in Chicago, IL?

For Vice President Data Engineering jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Vice President Data Engineering jobs in Chicago, IL look for?

The top searched job categories for Vice President Data Engineering jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Vice President Data Engineering jobs?

Cities near Chicago, IL with the most Vice President Data Engineering job openings:

Vice President Data Engineering jobs near you
Infographic showing various Vice President Data Engineering job openings in Chicago, IL as of August 2026, with employment types broken down into 93% Full Time, and 7% Part Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $222,095 per year, or $106.8 per hour.

Vice President, Data Enablement

Publicis Groupe Holdings B.V

Chicago, IL • On-site

$185K - $239K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago

Publicis Groupe rating

6.1

Company rating: 6.1 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

38th of 52 rated marketing agency

Job description

Company description
PHM is the leading health media agency in the US, built for the modern healthcare experience. Here, industry depth meets media scale, where data becomes direction, where creativity and storytelling bring truth to life, and where orchestration replaces fragmentation.
Dedicated to making brands discovered, PHM redefines what media can do through data, content, and creativity. Because in modern healthcare, the brands that are found are the ones that lead. And when brands lead, advantage follows. Go deeper. Be found.
Overview
The VP, Data Engineering is a senior technology and data leader responsible for defining and advancing PHM's enterprise data engineering strategy, architecture, and capabilities. This leader will oversee the design, development, and evolution of scalable data platforms and products that enable advanced analytics, business intelligence, media activation, measurement, and data-driven decision-making across the organization.
Working at the intersection of technology, data, media, and business strategy, the VP will establish a forward-looking data engineering vision while ensuring that data platforms are scalable, secure, reliable, performant, and aligned to the evolving needs of PHM and its clients.
This role will lead and develop a high-performing data engineering organization, establish engineering standards and guidelines, and partner closely with senior business, technology, analytics, and client teams to translate complex data challenges into scalable solutions.
Responsibilities
Data Engineering Strategy & Architecture
  • Define and implement the enterprise data engineering strategy and multi-year technology roadmap in alignment with PHM's business and data strategy.
  • Establish scalable architecture for data warehouses, data lakes, data platforms, and data products supporting enterprise and client-facing needs.
  • Lead the evolution of cloud-based data infrastructure and engineering capabilities across AWS, Azure, Google Cloud, and related technologies.
  • Establish architectural standards for data integration, data modeling, ETL/ELT, APIs, real-time data, batch processing, and data delivery.
  • Drive the modernization and optimization of existing data platforms, processes, and technology investments.
  • Evaluate emerging technologies and find opportunities to leverage automation, AI, machine learning, and other innovations to improve data engineering capabilities.

Data Products & Platforms
  • Oversee the development of high-performance data products and platforms supporting analytics, business intelligence, media performance, measurement, and activation.
  • Ensure data products are designed for scalability, reliability, accessibility, and performance.
  • Establish standards for data modeling, metadata management, data quality, lineage, security, and governance.
  • Guide the integration of structured and unstructured data from internal, external, digital, media, and client data sources.
  • Ensure data platforms can support real-time, on-demand, batch, and varying data delivery requirements.
  • Partner with analytics and BI leadership to ensure data engineering capabilities effectively support enterprise reporting and decision-making.

Engineering Leadership
  • Build, lead, and develop an impactful data engineering organization with deep technical and business acumen.
  • Establish engineering best practices, development standards, documentation practices, and quality controls.
  • Provide technical leadership and mentorship to Directors, engineering managers, and senior technical talent.
  • Define organizational capabilities, team structures, and talent strategies needed to support PHM's evolving data ecosystem.
  • Foster a culture of innovation, accountability, continuous improvement, and technical excellence.
  • Establish and monitor engineering performance metrics, service levels, and operational standards.

Data Governance, Quality & Security
  • Partner with data governance, information security, legal, privacy, and technology teams to establish appropriate standards for data management and usage.
  • Champion enterprise-wide data quality, governance, security, privacy, and compliance practices.
  • Establish processes for data lineage, metadata management, access controls, retention, and data lifecycle management.
  • Ensure data platforms and products meet appropriate standards for reliability, availability, scalability, and security.
  • Drive proactive identification and resolution of data quality, platform, and engineering risks.

Business & Executive Partnership
  • Serve as a senior strategic advisor on data engineering, technology, and data platform decisions.
  • Partner with executive leadership to translate business objectives into scalable data and technology strategies.
  • Collaborate with Data Science, Analytics, Business Intelligence, Media, Technology, and Product leaders to find opportunities for data-driven innovation.
  • Communicate complex technical concepts and strategic recommendations to executive and non-technical audiences.
  • Represent Data Engineering in senior leadership discussions, strategic planning, and technology investment decisions.
  • Build strong relationships with internal stakeholders, technology partners, vendors, and client-facing teams.

Innovation & Transformation
  • Identify opportunities to improve how PHM collects, manages, integrates, and activates data.
  • Lead modernization initiatives that improve engineering efficiency, data accessibility, and business value.
  • Assess emerging data technologies, cloud capabilities, AI/ML applications, and industry trends to determine opportunities for PHM.
  • Promote automation and reusable data engineering capabilities across the organization.
  • Establish a culture of experimentation and continuous technological improvement.

Qualifications
Required Qualifications
  • Bachelor's degree in Computer Science, Information Technology, Engineering, Data Science, or a related field preferred.
  • 12+ years of progressive experience in data engineering, data architecture, software engineering, or related technical disciplines.
  • 5+ years of experience leading and developing data engineering teams at the Director level or above.
  • Demonstrated experience designing and implementing large-scale enterprise data platforms and data products.
  • Deep understanding of data warehouse, data lake, ETL/ELT, data integration, and data modeling principles.
  • Strong experience with cloud-based data technologies, preferably AWS, Azure, and/or Google Cloud.
  • Experience working with large, complex datasets and high-volume data environments.
  • Demonstrated experience establishing enterprise data architecture, engineering standards, and technology roadmaps.
  • Experience integrating structured and unstructured data, APIs, real-time data, and batch data environments.
  • Strong understanding of data governance, data quality, security, privacy, and data lifecycle management.
  • Experience partnering with senior executives and translating complex technical concepts into clear business recommendations.
  • Exceptional written, verbal, presentation, and interpersonal communication skills.
  • Demonstrated ability to lead through influence and operate effectively in a complex, highly collaborative environment.

Technical Expertise
Strong technical understanding and experience with several of the following:
  • SQL / SQL Server
  • Python, Java, C#, or similar programming languages
  • ETL / ELT technologies
  • Data warehouses and data lakes
  • AWS, Azure, and/or Google Cloud
  • Apache Spark and distributed data processing
  • REST APIs and data integration
  • JSON, XML, ORC, Avro, and Parquet
  • BI and visualization platforms such as Tableau and Datorama
  • Web analytics and digital marketing data
  • Data modeling and enterprise data architecture
  • Data quality, metadata, lineage, and governance technologies
  • Modern data platform and data engineering architectures

Leadership Characteristics
The successful candidate will be:
  • Strategic: Able to establish a long-term data engineering vision while connecting technology investments to measurable business outcomes.
  • Technically credible: Able to engage deeply with engineers and architects while providing appropriate strategic direction.
  • Business-minded: Understands how data, technology, media, analytics, and client needs intersect.
  • Innovative: Constantly evaluates new technologies and approaches to improve PHM's data capabilities.
  • People-focused: Builds strong teams, develops talent, and creates an environment where technical professionals can do their best work.
  • Collaborative: Works effectively across Technology, Data, Analytics, Media, and executive leadership.
  • An effective communicator: Can translate complex technical concepts into clear recommendations for technical and non-technical stakeholders.

Preferred Experience
  • Experience within media, advertising, healthcare, health media, digital marketing, or another data-intensive industry.
  • Experience working with media performance, measurement, audience, web analytics, or digital marketing data.
  • Experience leading enterprise-scale data modernization or cloud transformation initiatives.
  • Experience developing data products that support business intelligence, analytics, measurement, or media activation.
  • Experience working in a highly matrixed organization with multiple business units, clients, and technology stakeholders.

Additional information
Our Publicis Groupe motto "Viva La Différence" means we're better together, and we believe that our differences make us stronger. It means we honor and celebrate all identities, across all facets of intersectionality, and it underpins all that we do as an organization. We are focused on fostering belonging and creating equitable & inclusive experiences for all talent.
Publicis Groupe provides robust and inclusive benefit programs and policies to support the evolving and diverse needs of our talent and enable every person to grow and thrive. Our benefits package includes medical coverage, dental, vision, disability, 401K, as well as parental and family care leave, family forming assistance, tuition reimbursement, and flexible time off.
If you require accommodation or assistance with the application or onboarding process specifically, please contact USMTTACompliance@publicis.com.
All your information will be kept confidential according to EEO guidelines. #LI-CJ4
Compensation Range: USD $135,375.00 - USD $194,460.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. Consistent with applicable law, compensation will be determined based on the skills, qualifications, and experience of the applicant along with the requirements of the position, and the Company reserves the right to modify this pay range at any time. Temporary roles may be eligible to participate in our freelancer/temporary employee medical plan through a third-party benefits administration system once certain criteria have been met. For regular roles, the Company will offer medical coverage, dental, vision, disability, 401k, and paid time off. The Company anticipates the application deadline for this job posting will be 10/31/2026.

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