P

Publicis Groupe

Runs advertising and digital transformation services

Director, Data Management Lead

Data Management +1Confirmed live in the last 24 hours
Full-timeChicago, IL, USA$135.4k - $194.5k /yrIn-person

About the Job

Requirements

  • 8–10+ years of experience in data management, data engineering, analytics engineering, media data operations, or data governance within an agency, pharmaceutical, or similarly complex environment.
  • Demonstrated leadership of client-facing data programs, with the ability to own the overall approach, facilitate technical and functional decisions, and communicate risks and recommendations.
  • Strong hands-on experience with Databricks and/or Snowflake, SQL, Python, data modeling, ETL/ELT, orchestration, testing, monitoring, and production support.
  • Deep understanding of media and marketing data across digital and offline channels, including campaign hierarchies, taxonomies, platform extracts, delivery metrics, and reporting dependencies.
  • Proven experience establishing data governance, quality controls, reconciliation processes, error tracking, lineage, metadata, and operational SLAs.
  • Ability to translate business requirements into scalable technical designs and to review or build data flows when delivery requires hands-on support.
  • Strong understanding of privacy, security, data handling, auditability, and compliance principles in regulated environments.
  • Experience with pharmaceutical media and regulated data, including familiarity with HCP data, identity, consent, privacy, and compliant activation or measurement workflows.
  • Experience designing lakehouse or warehouse architectures and CI/CD practices in cloud data environments.
  • Familiarity with media buying, ad serving, audience, measurement, and publisher platforms and their data delivery patterns.
  • Experience with data observability, catalog, lineage, master/reference data, and quality monitoring frameworks.
  • Working knowledge of AI/ML concepts and practical AI-assisted use cases in data engineering and governance.
  • Strong program management discipline, including roadmaps, RACIs, dependency tracking, release planning, and executive status reporting.
  • Knowledge or working experience with Databricks, Snowflake, SQL, Python, notebooks, ETL/ELT, orchestration, APIs, file transfers, version control/CI-CD practices, data catalogs, lineage, quality and observability tools, issue/error tracking, access controls, documentation, collaboration platforms, Power BI or comparable reporting, transformation and workflow tools, Campaign Manager 360, DV360, The Trade Desk, paid social platforms, Amazon DSP, Google Analytics, Adobe Analytics, Prisma, and related agency/client systems.

Responsibilities

  • Own the client and agency data management and governance operating model across media, measurement, and pharmaceutical data domains.
  • Define standards for data ownership, lineage, metadata, naming conventions, taxonomies, access, retention, and fitness for use.
  • Establish measurable data health controls, service-level agreements, stewardship routines, issue escalation paths, and governance forums.
  • Translate regulatory, privacy, security, and client requirements into practical controls.
  • Lead ingestion, validation, reconciliation, monitoring, and delivery of media data across paid search, social, programmatic, video, display, offline, and publisher sources.
  • Design media data quality guardrails, automated checks, thresholds, and exception handling across source-to-report pipelines.
  • Own error tracking and defect management, including triage, root-cause analysis, remediation ownership, service-level agreement monitoring, and prevention of recurrence.
  • Ensure transformed and harmonized datasets reconcile to source systems and satisfy reporting, measurement, optimization, and audit requirements.
  • Serve as the primary point of contact for client data discussions, including data strategy, architecture, onboarding, quality, governance, issue resolution, compliance, and delivery readiness.
  • Guide client, media, analytics, engineering, ad operations, privacy, security, and offshore teams through clear requirements, RACI assignments, decisions, dependencies, risks, and escalation paths.
  • Lead source onboarding and change management so media plans, buys, identifiers, taxonomies, and required metadata flow correctly into downstream platforms.
  • Build trusted client relationships by communicating technical topics in business terms and providing clear recommendations, trade-offs, owners, and next steps.
  • Provide technical direction for scalable backend architecture in Databricks and/or Snowflake, covering ingestion, medallion or layered design, transformation, orchestration, storage, performance, security, and observability.
  • Translate functional reporting and analytics needs into data models, mapping specifications, business rules, validation logic, business and technical requirements documents, and engineering-ready acceptance criteria.
  • Lead by example and contribute hands-on when needed by building, reviewing, troubleshooting, and optimizing SQL, Python, notebooks, jobs, and data pipelines.
  • Promote data engineering best practices for modularity, reuse, testing, deployment, documentation, cost efficiency, recoverability, and production support.
  • Partner with client privacy, legal, security, and compliance stakeholders to interpret requirements and embed appropriate access, handling, masking, retention, transfer, and audit controls.
  • Promote compliant use of HCP, patient-adjacent, audience, identity, and media data without compromising analytical utility or operational clarity.
  • Develop playbooks, standards, job aids, templates, and training for onshore and offshore teams, explaining both the control and the business rationale behind it.
  • Monitor adoption, document evidence, and improve processes when controls or operating practices break down.
  • Serve as the accountable day-to-day lead for data operations, platform health, governance, and engineering delivery across markets and workstreams.
  • Maintain a prioritized improvement roadmap spanning automation, reusable frameworks, monitoring, documentation, performance, cost, and operational resilience.
  • Evaluate and responsibly apply AI-assisted capabilities for data quality, anomaly detection, metadata management, engineering productivity, and operational support.
  • Provide leadership and clients with concise updates on data health, delivery, risks, blockers, decisions, ownership, and measurable business impact.

About the Company

Publicis Groupe

Runs advertising and digital transformation services

Publicis Groupe runs advertising, media buying and digital transformation services for companies that want to reach consumers, coordinate campaigns and improve their business systems. Its agency network includes creative and media specialists, while Publicis Sapient builds and modernizes the technology behind clients' operations. Epsilon adds customer data and marketing technology that connect brands with audiences and measure campaign results. Clients pay for consulting, campaign creation and execution, with production and media costs billed through alongside the group's service work. Founded in 1926, Publicis Groupe is headquartered in Paris, France.

Company size
10,001+
Company stage
IPO
Headquarters
Paris, France
Founded
1926

Recently Posted Jobs

Explore more opportunities at Publicis Groupe

See more jobs