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Sr. Product Manager-Temporary Worker

Job in New York, New York County, New York, 10261, USA
Listing for: Dentsu Aegis Network Ltd.
Part Time, Seasonal/Temporary position
Listed on 2026-03-10
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Location: New York

** TEMP, Part-Time Role*
* ** Company Description
** Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management.

With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.
** About the Role
** Merkle is seeking a
** TEMPORARY, Part-Time Senior Product Manager
** to lead the strategy, development, and delivery of data enrichment, AI, and Synthetic solutions powered by Dentsu's 260M+ record dataset. This role will sit at the intersection of data, analytics, and product — driving cross-functional collaboration between managed services, analytics, engineering, and research operations to bring high-impact solutions to market.
** Key Responsibilities
** Develop customer journey maps to visualize the end-to-end research experience and identify opportunities for data enrichment

Author Product Requirements Documents (PRDs) capturing problem statements, objectives, target users, technical requirements, risks, and success metrics

Build and manage a product backlog, translating strategy into epics, user stories, and technical tasks
** Qualifications
* * 10+ years of product management experience, preferably in data, market research, or analytics-driven environments Proven ability to translate complex data and technical concepts into clear product strategies and stakeholder-ready communications Experience working with large-scale datasets and data enrichment or audience targeting solutions Strong cross-functional collaboration skills with the ability to align diverse stakeholders around a shared vision Proficiency in writing PRDs, building roadmaps, and managing agile backlogs

Excellent communication and presentation skills

Experience with competitive analysis, customer discovery, and journey mapping Familiarity with managed services and analytics/engineering team dynamics is a plus Product Requirements Documents (PRDs) At  dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles).

Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.
** The hourly pay range for this position is $65.79-$87.77.
** The hourly pay rate for the successful candidate  permitted by law.  Temporary employees are eligible for paid holidays in accordance with dentsu policy, as well as safe and sick time. This position is not eligible for any other benefits or other compensation.
is based on a variety of factors, including relevant experience, knowledge, skills, and other factors
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