Product Manager 3 – Marketing Activations

WCL Group

Plano (TX)

On-site

USD 161,000 - 164,000

Full time

2 days ago
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Job summary

WCL Group in Plano, Texas is seeking a Product Manager – Marketing Activations to drive day-to-day product and data work across marketing data products, from requirements through delivery. This hands-on role blends product management with data analysis in SQL and Python.

You will partner with Data Science, analysts, and other PMs on data modeling, segmentation, and measurement, and champion the use of generative AI to reshape how product management gets done. Fully onsite with standard hours.

Qualifications

  • Master's degree in Computer Science, Engineering, or another quantitative field.
  • 6+ years of experience in analytics or data-focused product management; hands-on data analytics consulting experience highly preferred.
  • Required experience in marketing domains, including CRM and AdTech.
  • Proficient in SQL and Python.
  • Experience working with data teams in a cloud environment (Azure, GCP, or AWS).
  • Proven record of leveraging generative AI at work and/or in personal projects.
  • A strong point of view on how product management must evolve with AI and what the new day-to-day looks like.
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate across diverse teams and leadership.
  • Ability to manage multiple projects at once, prioritize effectively, and deliver under tight deadlines.
  • Strong problem-solving and analytical skills with a data-driven approach to decisions.
  • Experience in a fast-paced, agile

Responsibilities

  • Drive data and product work across multiple data products day to day, from requirements through delivery
  • Translate direction from product leads into clear priorities, user stories, and acceptance criteria
  • Perform hands-on analysis using SQL and Python to answer business questions and validate results
  • Review analysis, numbers, and code from analysts and Data Science, and challenge results when something does not add up
  • Partner with other PMs on the team on data modeling, segmentation, and measurement work
  • Track product and marketing performance, and share results, learnings, and corrective decisions with leadership
  • Leverage generative AI across all aspects of product management, including discovery, planning, documentation, and training materials
  • Automate repetitive tasks using generative AI

Skills

SQL
Python
CRM
AdTech
Generative AI
Data-driven decisions
Communication

Education

Master's degree in Computer Science/Engineering/ quantitative field

Tools

Azure
GCP
AWS

Job description

Product Manager – Marketing Activations
CLIENT HIGHLIGHT

The client you will be working for is a Top 20 Fortune Global 500 Consumer Electronics and Technology Company. This opportunity will give you experience in the technology sector in the United States with a company that is a globally recognized leader in smartphones, televisions, home appliances, and semiconductor innovation — and one of the most well-known brands in the world.

LOCATION

Plano, Texas, 75023

COMPENSATION

$77.75 per hour, full benefits offered

SCHEDULE

Working Model: Fully onsite

Working Hours: [8:00am – 5:00pm CST], Monday – Friday

CONTRACT TERM

1 yeae(10/26/2026 – 10/25/2027) with possibility of extension

POSITION OVERVIEW

The Product Manager – Marketing Activations drives day-to-day product and data work across multiple marketing data products, from requirements through delivery. This hands‑on role combines product management with personal analysis in SQL and Python. The person partners closely with Data Science, analysts, and fellow PMs on data modeling, segmentation, and measurement. They also champion the use of generative AI to reshape how product management gets done.

RESPONSIBILITIES
  • Drive data and product work across multiple data products day to day, from requirements through delivery
  • Translate direction from product leads into clear priorities, user stories, and acceptance criteria
  • Perform hands‑on analysis using SQL and Python to answer business questions and validate results
  • Review analysis, numbers, and code from analysts and Data Science, and challenge results when something does not add up
  • Partner with other PMs on the team on data modeling, segmentation, and measurement work
  • Track product and marketing performance, and share results, learnings, and corrective decisions with leadership
  • Leverage generative AI across all aspects of product management, including discovery, planning, documentation, and training materials
  • Automate repetitive tasks using generative AI
PERFORMANCE MEASUREMENT
  • On-time delivery of data products against agreed priorities and acceptance criteria
  • Accuracy and quality of analysis, reporting, and reviewed outputs
  • Clear, consistent performance reporting and recommendations to leadership
  • Measurable time savings and efficiency gains from generative AI and automation
  • Strong cross-functional partnership with product leads, Data Science, and fellow PMs
REQUIRED QUALIFICATIONS/SKILLS
  • Master's degree in Computer Science, Engineering, or another quantitative field
  • 6+ years of experience in analytics or data-focused product management; hands‑on data analytics consulting experience highly preferred
  • Required experience in marketing domains, including CRM and AdTech
  • Proficient in SQL and Python
  • Experience working with data teams in a cloud environment (Azure, GCP, or AWS)
  • Proven record of leveraging generative AI at work and/or in personal projects
  • A strong point of view on how product management must evolve with AI and what the new day-to-day looks like
  • Excellent communication and interpersonal skills, with the ability to influence and collaborate across diverse teams and leadership
  • Ability to manage multiple projects at once, prioritize effectively, and deliver under tight deadlines
  • Strong problem-solving and analytical skills with a data-driven approach to decisions
  • Experience in a fast-paced, agile
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