Hiring.Camp

Executive Vice President, Data Engineering

Employees Publicisgroupe

·

Oct 29, 2024

Location
New York, NY, US
Type
Full-time
Department
Engineering
Seniority
VP
Closing date
Today
Source
iCIMS

Description

Company Description

 

Publicis Groupe is a global leader in communication and is positioned at every step of the value chain, from consulting to execution, combining marketing transformation and digital business transformation. Through a unified and fluid organization, Publicis Groupe partners with its clients across communication, media, data and technology to ensure access to the full breadth of capabilities in every market. Present in over 100 countries, Publicis Groupe employs around 103,000 professionals.

Overview

Join Publicis Groupe at the intersection of AI, data and technology. Help shape a new generation of enterprise products that make complex work simpler and turn information into better decisions. You will combine hands-on building with the opportunity to influence technical direction and deliver work with meaningful business impact.

 

As EVP, Data Engineering, you will set the vision, investment priorities and operating model for the data engineering function. You will build and lead senior engineering leaders, shape enterprise architecture and partner with executive stakeholders to turn business strategy into scalable capabilities. This role combines organizational leadership, commercial judgment and deep technical credibility, with accountability for delivery, adoption and operational performance.

Responsibilities

  • Set the data engineering strategy and investment roadmap, aligning architecture and platform capabilities with enterprise growth and business priorities.
  • Build and lead an organization of engineering leaders and teams; own organizational design, leadership hiring, succession planning and performance accountability.
  • Establish enterprise architecture principles and standards that enable reusable data products, consistent information and scalable adoption of analytics and AI.
  • Lead the function’s adoption of AI-assisted engineering and agent-based automation, setting an operating model that improves delivery capacity, quality and unit economics.
  • Own the engineering operating model, including service performance, resilience, security and risk management, with clear accountability across internal teams and strategic partners.
  • Own budgets, workforce planning and strategic vendor relationships; make build-versus-buy decisions based on business value, total cost and long-term flexibility.
  • Represent data engineering in executive planning and governance; resolve cross-functional tradeoffs and hold teams accountable for measurable business outcomes and adoption.

Qualifications

  • 15+ years of relevant technology experience, including substantial executive leadership of data or engineering organizations and experience leading senior leaders.
  • Executive experience in media, advertising technology or other data-intensive businesses; leadership across global or matrixed organizations; and scaling AI and data capabilities through internal teams and strategic partners.
  • A track record of setting enterprise data strategy and delivering complex, multiyear transformation across multiple teams, business units or markets.
  • Deep technical judgment across cloud data platforms, distributed systems and enterprise architecture, with the credibility to guide senior engineers and challenge major investment decisions.
  • Demonstrated leadership of AI-assisted engineering adoption, with measurable gains in productivity, software quality or operating efficiency and clear accountability for responsible use.
  • Experience owning material budgets, strategic partnerships and organizational change; strong executive communication and commercial judgment. A relevant degree or equivalent practical experience.
  • How you work with AI
  • Maintain practical fluency with AI tools and agents; evaluate their capabilities directly and set evidence-based expectations for adoption, verification and value.
  • Develop leaders who embed AI into engineering practices, protect confidential information and sustain technical ownership as automation expands.

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 [email protected].

 

All your information will be kept confidential according to EEO guidelines.

 

Veterans Encouraged to Apply.

 

#LI-MB5

 

Compensation Range: USD $180,215.00 - USD $299,637.00/Annually. This is the pay range the Company believes it will pay for this position at the time of this posting. This role may also be eligible for bonus or incentive compensation. 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 12/7/2026.

Skills

Data EngineeringRisk Management

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