Product Manager Highly SkilledUSAUSD
Job Location:
Job Location:
Englewood Cliffs, NJ - USA
Monthly Salary:
Not Disclosed
Monthly Salary:
Posted on:
30+ days ago
Posted on:
Vacancies:
1 Vacancy
Vacancies:
Job Summary
Job Title: Product Manager - Highly SkilledUSAUSD
Location (On-site Remote or Hybrid): Englewood Cliffs NJ (Onsite)
Contract Duration: Contract until 12/31/2026
Work Hours:9AM - 6PM
Location (On-site Remote or Hybrid): Englewood Cliffs NJ (Onsite)
Contract Duration: Contract until 12/31/2026
Work Hours:9AM - 6PM
QUALIFICATIONS
Required:
1. 5 years of product management experience including ownership of shared data services used by multiple teams.
2. Experience delivering capabilities such as user profile APIs audience segmentation/targeting or personalization at scale.
3. Strong product judgment: ability to define decision criteria make tradeoffs under uncertainty and align stakeholders across teams.
4. Proven experience executing across cross-team dependencies with clear sequencing and accountability.
Required:
1. 5 years of product management experience including ownership of shared data services used by multiple teams.
2. Experience delivering capabilities such as user profile APIs audience segmentation/targeting or personalization at scale.
3. Strong product judgment: ability to define decision criteria make tradeoffs under uncertainty and align stakeholders across teams.
4. Proven experience executing across cross-team dependencies with clear sequencing and accountability.
Preferred:
1. Experience enabling data for ML-powered products including data readiness and enabling training and real-time serving.
2. Familiarity with CDPs experimentation and messaging platforms and associated build/buy decisions.
Experience improving platform leverage metrics such as adoption and time-to-integrate
Responsibilities:
OVERVIEW
The Senior Product Manager Data Activation owns the foundational capabilities that make audience and content data usable across our news brands. This role focuses on launching reliable reusable capabilities for managing user data defining audiences and activating that data across products and channels so that brand teams can focus on delivering relevant differentiated experiences.
OVERVIEW
The Senior Product Manager Data Activation owns the foundational capabilities that make audience and content data usable across our news brands. This role focuses on launching reliable reusable capabilities for managing user data defining audiences and activating that data across products and channels so that brand teams can focus on delivering relevant differentiated experiences.
KEY RESPONSIBILITIES
1. Own the domain roadmap for data activation and targeting including user data management audience segmentation and core activation capabilities used across brands (CNBC MS NOW E! News).
2. Define and evolve shared audience preferences and engagement data enabling consistent cross-channel view of users across web app email and community surfaces.
3. artner cross-functionally and across brands to sequence work and manage dependencies in order to launch differentiated product experiences for our audiences.
4. Establish shared decision criteria and operating standards so teams can activate audience data consistently and safely across use cases.
5. Ensure trusted governed data is usable by downstream systems (e.g. quality latency).
6. Evaluate build vs. buy options for the activation stack (e.g. CDP targeted messaging tools) define selection criteria and manage adoption and new feature upgrades.
7. Lead execution across complex dependencies including MVP scoping rollout readiness and risk management.
1. Own the domain roadmap for data activation and targeting including user data management audience segmentation and core activation capabilities used across brands (CNBC MS NOW E! News).
2. Define and evolve shared audience preferences and engagement data enabling consistent cross-channel view of users across web app email and community surfaces.
3. artner cross-functionally and across brands to sequence work and manage dependencies in order to launch differentiated product experiences for our audiences.
4. Establish shared decision criteria and operating standards so teams can activate audience data consistently and safely across use cases.
5. Ensure trusted governed data is usable by downstream systems (e.g. quality latency).
6. Evaluate build vs. buy options for the activation stack (e.g. CDP targeted messaging tools) define selection criteria and manage adoption and new feature upgrades.
7. Lead execution across complex dependencies including MVP scoping rollout readiness and risk management.
