Remote Product Manager - Data & Identity Capabilities

Acxiom; Hartford (CT); Remote; USD 110,000 - 150,000; Full time

Job summary

Acxiom is seeking a Product Manager to lead data and identity capabilities with a global scope. You will work with data engineering, analytics, and cross-functional teams to shape the product strategy, define requirements, and drive commercial offerings.

You’ll own the product backlog, prioritize features, and guide delivery to meet revenue, adoption, and quality objectives. Strong collaboration, communication, and a data-driven mindset are essential for success.

Qualifications

• Bachelor’s degree and 4+ 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.
• Practical knowledge of product management methodologies and best practices.
• Domain familiarity in marketing data, data products, or information-intensive environments.
• The position is not eligible for sponsorship.

Responsibilities

• Owns and defines product roadmap and backlog for global data and identity capabilities.
• Collaborates with engineering, analytics, marketing, and sales to support product launches.
• Manages quarterly OKRs and product KPIs (revenue, adoption, availability, cost).
• Directs product strategy from conception through end of life across teams.
• Monitors product performance and drives improvements based on metrics.

Skills

Product management

Data products

Cross-functional collaboration

Analytics

Education

Bachelor's degree

Tools

Snowflake

DataBricks

Job description

Acxiom is seeking a Product Manager to lead data and identity capabilities with a global scope. You will work with data engineering, analytics, and cross-functional teams to shape the product strategy, define requirements, and drive commercial offerings.

You’ll own the product backlog, prioritize features, and guide delivery to meet revenue, adoption, and quality objectives. Strong collaboration, communication, and a data-driven mindset are essential for success.