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, 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.
Omnicom is committed to hiring and developing exceptional talent. We agree that talent is uniquely distributed, and we’re focused on developing inclusive teams that can bring the best solutions to everything we do. We strongly believe that celebrating what makes us different makes us better together. Join us—we look forward to getting to know you. We will process your personal data in accordance with our Recruitment Privacy Notice.
Link to Recruitment Privacy Notice: omc.com
For US Job Seekers:
It is the policy of Omnicom and any of its affiliates to provide equal employment opportunities to all employees and applicants for employment without regard to race, religion, color, ethnic origin, gender, gender identity, age, marital status, veteran status, sexual orientation, disability, or any other basis prohibited by applicable federal, state, or local law. EOE/AA/M/D/V/F.
Requirements
Must-haves
Omnicom Public Relations
Business and Change Consulting
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.
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.
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.
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).
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.
Nice-to-haves
Nice-to-Haves: Experience with cloud platforms (GCP, AWS) and sandbox configurations.
Application prep
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