Agency:
Omnicom Public Relations
Job Function:
Consulting
Job Subfunction:
Business and Change Consulting
Job Description:
Position Overview
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.
Methods+Mastery is actively committed to increasing our team’s diversity, aggressively eliminating systemic barriers to equity, and fostering a culture where different backgrounds and perspectives are respected and celebrated. We strongly encourage applications from women, people of color, members of the LGBTQ+ community, veterans, individuals with disabilities, and neurodivergent people.
Key Responsibilities
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.
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,…