Remote Data Product Manager – B2B Platform

Acxiom; Richmond (VA); Remote; USD 120,000 - 160,000; Full time

Job summary

Acxiom is seeking a talented Product Manager who will be exceptional at delivering data and identity products to data-centric businesses globally.

The ideal candidate will have previous success in managing data products, experience engaging with data engineering and analytics/data science teams to produce commercial offerings, comfortable working collaboratively across teams and help us define our data culture.

Qualifications

• Bachelor’s degree and 3+ years of product management or related experience.
• Strong verbal, written, and presentation skills.
• Strong problem-solving and analytical skills.
• Background in product development, data products, or related technical environments.
• Proven knowledge of major cloud platforms like Snowflake, DataBricks or similar.
• The position is not eligible for sponsorship.

Responsibilities

• Owns product backlog, including user stories, requirements, and prioritization.
• Defines and executes product roadmap aligned to broader product or domain strategy.
• Builds and maintains product business plans to support revenue, adoption, and cost efficiency goals.
• Collaborates with Sales, Marketing, and other stakeholders to support product launches, positioning, and adoption.
• Monitors product performance and drives continuous improvement based on financial, operational, and client satisfaction metrics.
• Escalates complex cross-product dependencies, strategic tradeoffs, and investment-related considerations to senior product leadership.

Skills

Product management

Data products

Agile/Scrum

Cross-functional collaboration

Education

Bachelor's degree

Tools

Snowflake

Databricks

Job description

Acxiom is seeking a talented Product Manager who will be exceptional at delivering data and identity products to data-centric businesses globally.

The ideal candidate will have previous success in managing data products, experience engaging with data engineering and analytics/data science teams to produce commercial offerings, comfortable working collaboratively across teams and help us define our data culture.