Data & Infrastructure Lead; Managing Supervisor

Position: Data & Infrastructure Lead (Managing Supervisor)
Location: New York

## Data & Infrastructure Lead (Managing Supervisor)
Apply:
Hybrid:
New York, New York, United States of America:
Full time:
Posted Today:
R16744
** 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…