Project Execution: Lead day-to-day project delivery across client briefs, enforcing project timelines, scopes, and quality controls for data methodologies.
Consultative Support: Partner with senior leadership to deliver data maturity assessments and present regularly scheduled business intelligence reporting to clients.
2. Execution & Architecture Implementation
Pipeline & Workflow Audits: Perform hands-on data audits to structure extraction, cleaning, storage, and transformation pipelines for client engagements.
Dashboarding & BI Delivery: Implement and maintain robust dashboards across traditional BI platforms and modern automated reporting tools.
Production Deployment: Move small-scale data scripts and machine learning models into production-level workflows to make client intelligence offerings scalable and automated.
3. Mentorship & Operational Enablement
Team Supervision: Directly oversee and mentor junior and mid-level analysts and engineers on daily workflows, coding standards, and industry best practices.
Technical Documentation: Author detailed architecture documentation, user guides, and client offboarding materials to support seamless dashboard and database querying enablement.
Cross-Functional Collaboration: Serve as the core point of contact between engineering teams, data analysts, and account leads on technical deliverables.
Qualifications
Must-Haves
Experience: 5–8+ years of experience in digital marketing analytics, data engineering, or data infrastructure management (with prior experience leading project streams or small teams).
Technical Command: Hands-on command of standard marketing intelligence platforms (e.g., Brandwatch, Netbase Quid, Talkwalker, Sprinklr) and scripting languages (Python, SQL, or R) for automation.
Data Visualization & Delivery: Experience constructing executive dashboards and distilling complex datasets into clear narratives and visual scorecards.
Project Management: Track record of managing project execution, technical scopes, and deliverables in an agency or fast-paced consulting environment.
Communication: Clear verbal and written skills to collaborate across technical engineers and cross-functional account teams.
Nice-to-Haves
Experience with cloud platforms (GCP, AWS) and sandbox configurations.
Familiarity with AI/ML frameworks (LangChain, LlamaIndex) or containerization tools (Docker).
Proficiency in BI tools (Tableau, Google Looker Studio, Power BI) and web analytics (Google Analytics)
Exposure to media monitoring platforms (Onclusive, Zignal, Newswhip) and consumer research tools (YouGov, GlobalWebIndex).
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- The anticipated salary range for this position is $78,920 - $117,000.
Salary is based on a range of factors that include relevant experience, knowledge, skills, other job-related qualifications, and geography. A range of medical, dental, vision, 401(k) matching, paid time off, and/or other benefits also are available.
To the extent permissible by local law, Omnicom’s policy requires employees to work in the office for a minimum of three days a week, unless additional in-office days are directed by their agency or manager.
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