Data & Infrastructure Lead (Managing Supervisor)
About The Position
Methods+Mastery is hiring a hands-on Data & Infrastructure Lead (Managing Supervisor) to serve as an execution partner and technical bridge between data engineers, analysts, and Fortune 50 clients. Reporting to the Vice President, Director of Data & Infrastructure, the role owns day-to-day data environment builds, automates reporting workflows, and translates technical infrastructure and AI initiatives into actionable business insights for client stakeholders. The position supports the growth of intelligence offerings, pipeline accuracy, and technical enablement across analyst teams. The role combines client communication and project delivery with hands-on pipeline and workflow implementation. It includes conducting data audits, building and maintaining dashboards, and moving small-scale scripts and machine learning models into scalable production workflows. The lead also supervises and mentors analysts and engineers, documents architectures and user processes, and coordinates technical deliverables across engineering, analytics, and account teams.
Requirements
- 5–8+ years of experience in digital marketing analytics, data engineering, or data infrastructure management.
- Prior experience leading project streams or small teams.
- Hands-on command of marketing intelligence platforms such as Brandwatch, Netbase Quid, Talkwalker, or Sprinklr.
- Experience using Python, SQL, or R for automation.
- Experience constructing executive dashboards and distilling complex datasets into clear narratives and visual scorecards.
- A track record of managing project execution, technical scopes, and deliverables in an agency or fast-paced consulting environment.
- Clear verbal and written communication skills for collaborating with technical engineers and cross-functional account teams.
Nice To Haves
- Experience with cloud platforms such as GCP or AWS and sandbox configurations.
- Familiarity with AI/ML frameworks such as LangChain or LlamaIndex, or containerization tools such as Docker.
- Proficiency in BI tools such as Tableau, Google Looker Studio, or Power BI, and web analytics such as Google Analytics.
- Exposure to media monitoring platforms such as Onclusive, Zignal, or Newswhip, and consumer research tools such as YouGov or GlobalWebIndex.
Responsibilities
- Translate complex data pipelines, automation, and AI workflows into actionable business outcomes for non-technical client contacts.
- Lead day-to-day project delivery, managing client briefs, timelines, scopes, and quality controls for data methodologies.
- Partner with senior leadership on data maturity assessments and present regularly scheduled business intelligence reporting to clients.
- Conduct hands-on data audits and structure extraction, cleaning, storage, and transformation pipelines for client engagements.
- Implement and maintain dashboards using traditional BI platforms and modern automated reporting tools.
- Move small-scale data scripts and machine learning models into production-level workflows to scale and automate client intelligence offerings.
- Supervise and mentor junior and mid-level analysts and engineers on daily workflows, coding standards, and industry best practices.
- Write architecture documentation, user guides, and client offboarding materials to enable dashboard use and database querying.
- Coordinate technical deliverables as the point of contact between engineering teams, data analysts, and account leads.
Benefits
- Medical benefits
- Dental benefits
- Vision benefits
- 401(k) matching
- Paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
