Data & Infrastructure Lead (Managing Supervisor)

Methods+Mastery has an immediate opening for a skilled, hands-on Data & Infrastructure Lead (Managing Supervisor). Reporting to the Vice President, Director of Data & Infrastructure, you will serve as a lead execution partner and technical bridge connecting our data engineers, analysts, and Fortune 50 clients.

In this role, you will take ownership of day-to-day data environment builds, automate reporting workflows, and translate technical infrastructure and AI initiatives into clear, actionable business insights for client stakeholders. You will play a central role in scaling our intelligence offerings, maintaining pipeline accuracy, and driving technical enablement across analyst teams., 1. Client Communication & Project Delivery

• Technical Translation: Assist in translating complex pipeline, automation, and AI workflows into actionable business outcomes for non-technical client contacts.
• 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.

1. 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.

2. 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.

• 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).

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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