Pay
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
New York, New York, United States of America
Actively hiring, first seen by us 6 days agoExposure 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.Read the full posting
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Run day-to-day delivery of client data projects, timelines and quality controls
Audit and build extraction, cleaning, storage and transformation pipelines
Implement and maintain dashboards across BI and automated reporting tools
Move data scripts and machine learning models into production workflows
Mentor junior and mid-level analysts and engineers on workflows and coding standards
Lead day-to-day project delivery across client briefs, enforcing project timelines, scopes, and quality controls for data methodologies
Perform hands-on data audits to structure extraction, cleaning, storage, and transformation pipelines for client engagements
Implement and maintain robust dashboards across traditional BI platforms and modern automated reporting tools
Move small-scale data scripts and machine learning models into production-level workflows
Directly oversee and mentor junior and mid-level analysts and engineers on daily workflows, coding standards, and industry best practices
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).
Experience with cloud platforms (GCP, AWS) and sandbox configurations.
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)
Actively hiringFirst seen by us 6 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
$154K–$225K is typical
The middle half of what similar US postings state. This one doesn’t list pay.
From 2,958 postings in the last year. Stated ranges, not salaries paid.
Day 6
Early. Similar jobs usually come down between day 7 and day 53.
From 7,797 similar postings that came down. Coming down is not always a hire.
150 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Hiring recordAdd your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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.
Nice-to-Haves: - Experience with cloud platforms (GCP, AWS) and sandbox configurations. - Familiarity with AI/ML frameworks (LangChain, LlamaIndex) or containerization tools (Docker).
- 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)
- 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).
Complete your application on interpublic.wd5.myworkdayjobs.com. The employer’s form will show what is required.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
Agency:
Omnicom Public RelationsJob Function:
ConsultingJob Subfunction:
Business and Change ConsultingJob Description:
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.
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: https://www.omc.com/privacy-notice
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
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.
New York, New York, United States of America
Working pattern and location restrictions need checking in the full posting.
No clear work-authorization passage found. Eligibility is unconfirmed.