Vice President, Data Technology & Engineering

Vice President, Technology & EngineeringThe Vice President, Technology & Engineering is the lead architect and hands-on engineering leader for the Global Data Technology, Platforms & Governance function within the Data & Analytics organization. This role designs, builds, and operates scalable, automated data solutions supporting global campaign delivery, performance optimization, and enterprise analytics, while partnering closely with analytics and business leadership to translate global business rules into architecture, data models, and pipelines. The role sets technical direction and standards for a distributed global engineering team and plays a key role in shaping global ad tech, mar tech, and data integration strategies. Through ownership of global data architecture and cross-functional enablement, this role carries enterprise-level scope and is positioned for expanded leadership across analytics strategy, advanced measurement, and data platform transformation over time. Responsibilities1) Architecture, Business Rules & Solution Design Serve as the primary technical architect, partnering closely with analytics and business leadership to define global business rules and apply them to end-to-end solution design. Translate business requirements and use cases into scalable data architectures, pipelines, models, and automation frameworks. Own architectural decisions across data ingestion, transformation, harmonization, storage, and downstream delivery across markets and regions. Design data transfer and integration frameworks that ensure consistency, accuracy, and usability of data across consumers. Provide technical guidance on ad tech and mar tech integration patterns, including identity resolution, clean room usage, data onboarding, and interoperability across platforms. 2) Hands-On Engineering & Automation Remain hands-on with coding, developing and maintaining Python/SQL-based pipelines, transformation logic, and automation scripts. Drive automation-first approaches to reduce manual processes, improve reliability, and accelerate delivery. Develop and maintain scripts and workflows that transform market-level raw platform data into consolidated, global reporting-ready datasets. Lead and participate in integrated testing of pipelines and systems across development, test, and production environments. 3) Data Platform, Quality & Governance Own the end-to-end global technical flow of data, ensuring accuracy, timeliness, and completeness across platforms and teams. Manage quantitative accuracy of data feeds and APIs, including discrepancy identification and resolution with internal teams and vendors (without owning vendor contracts or budgets). Identify and resolve data compliance and quality issues (e.g., misconfigured placements, missing IDs, API gaps, duplicative inputs). Maintain stewardship of data collection, transformation, and reporting processes to ensure long-term data integrity. 4) Team Leadership & Delivery Lead a distributed onshore/offshore data engineering team delivering against defined client, analytics, and business deliverables. Set engineering standards and best practices (coding, QA, documentation, performance, security). Guide engineers through architectural decisions, complex problem-solving, and implementation tradeoffs. Ensure projects are delivered successfully within optimized timelines in a fast-paced environment. 5) Cross-Functional Partnership & Enablement Act as the primary liaison between Data Engineering, Governance, and Measurement teams. Partner with Strategy, Activation, and Operations teams to ensure data solutions align with audience strategy, activation needs, and measurement frameworks. Provide technical consultation to internal teams and clients on the capabilities and limitations of the data ecosystem, including identity solutions, clean rooms, full-funnel measurement approaches, and advanced audience use cases. Partner with Governance to ensure internal teams follow organizational standards for data connectivity inputs across buying systems and vendor platforms inclusive of identity solutions tools. Create and maintain business and technical requirements documentation. Provide clear status updates, escalate risks when appropriate, and facilitate alignment across stakeholders. Support training and enablement for onshore and offshore teams related to technology standards and data governance. QualificationsMinimum Qualifications: 10+ years of experience in engineering roles with demonstrable success in large-scale, global data integration and data warehouse projects. BS in Computer Science or equivalent education/professional experience. Deep, hands-on experience with Python and SQL, including building and maintaining production-grade pipelines. Strong experience designing data warehouses, data marts, pipelines, and data models (fact/dimension concepts). Expert understanding of data flows and interoperability across global ad tech and mar tech ecosystems, including identity, measurement, and activation. Proven ability to implement business rules and calculation logic into scalable, automated data solutions. Excellent analytical, debugging, and problem-solving skills with a strong focus on data quality and usability. Experience managing integrated workstreams across onshore and offshore teams. Experience with Identity Solution tools (e.g., Epsilon, Lotame, Neustar). Strong written and verbal communication skills; ability to explain complex technical concepts to non-technical stakeholders. Highly organized, detail-oriented, and comfortable operating in a fast-moving technical environment. Preferred Experience Advertising agency experience supporting global or multi-market clients. Experience working with global marketing/media data (paid media, search, social, site analytics). Exposure to clean rooms, CDPs, advanced audience strategies, and global full-funnel measurement approaches. Experience with ETL and data integration tooling (e.g., Talend, Informatica, SSIS). Experience with cloud data platforms such as Redshift, Aurora, Azure Data Warehouse, Data Lake, BigQuery. Experience with CI/CD, orchestration, and code repositories (Git, Jenkins, Airflow). Familiarity with BI and visualization tools (Power BI, Tableau) and advanced analytics platforms (SAS, SPSS, R). Tools & Platforms Programming: Python, SQL Cloud & Data: AWS, Redshift, Aurora, Azure Data Warehouse, Data Lake, BigQuery Data Collection & APIs: Adverity and direct platform APIs DevOps & Workflow: GitLab, Git, Jenkins, Airflow, email automation BI & Analytics: Power BI, Tableau, SAS, SPSS, R Media & Analytics Platforms: Google Campaign Manager, DV360, Trade Desk, TikTok, Snapchat, Amazon DSP, Google Analytics, Adobe Analytics, Prisma Collaboration: Microsoft Teams, AirTable, Smartsheets, HIVE Additional InformationOur Publicis Groupe motto "Viva La Diffrence" 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 USMSTACompliance@publicis.com. Compensation Range: $168,150- $257,712 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. Temporary roles may also qualify for participation in our 401(k) plan after eligibility criteria have been met. For regular roles, the Company will offer medical coverage