Associate Data Product Manager

Required Skills & Experience

Bachelor’s degree in Business, Analytics, Information Systems, Computer Science, Data Science, Engineering, or a related field, or equivalent relevant experience.

1–3 years of experience in Product Management, Data Analytics, Business Analysis, Data Engineering, Analytics Engineering, or a similar data-focused role.

Strong SQL skills with experience querying, analyzing, validating, and troubleshooting data.

Strong analytical and problem-solving skills, including data investigation and root cause analysis.

Knowledge of core data quality concepts and data validation.

Hands-on experience using generative AI or AI-enabled tools to analyze information, solve problems, automate tasks, or improve productivity.

Experience translating business needs into requirements, user stories, acceptance criteria, or analytical tasks.

Strong communication skills with the ability to work effectively with both technical and non-technical stakeholders.

Nice to Have Skills & Experience

Experience with customer, loyalty, CRM, digital, e-commerce, or marketing data.

Familiarity with Snowflake, Databricks, or BigQuery.

Understanding of data pipelines, APIs, ETL/ELT processes, and modern data architectures.

Experience with Power BI or Tableau.

Familiarity with Agile methodologies and Jira.

Exposure to data governance, identity resolution, consent management, or customer data concepts.

Job Description

Client of Insight Global is seeking an Associate Data Product Manager to support the development and continuous improvement of customer and marketing data products. This individual will partner with Product Management, Engineering, Analytics, Data Science, and Marketing teams to translate business needs and data challenges into actionable product requirements. This is a hands-on, data-focused position requiring strong SQL and analytical skills. The ideal candidate will have a product mindset, strong problem-solving abilities, and practical experience leveraging AI-enabled tools to analyze data, investigate issues, and improve productivity.

Key Responsibilities

• Partner with Product Managers and stakeholders to translate business needs into requirements, user stories, acceptance criteria, and backlog items.
• Utilize SQL and analytical techniques to investigate data issues, reconcile information across systems, and support root cause analysis.
• Identify and resolve data quality issues related to accuracy, completeness, consistency, validity, uniqueness, and integrity.
• Perform hands-on data testing and validation for new capabilities, enhancements, and fixes, including UAT support.
• Leverage generative AI and AI-enabled tools to assist with data analysis, SQL development, research, documentation, and problem solving while validating AI-generated outputs.
• Collaborate across Product, Engineering, Analytics, Data - Science, and Marketing teams to communicate findings, requirements, risks, and recommendations.
• Identify opportunities to continuously improve data products and the processes used to build and manage them.

Compensation:

$40/hr to $45/hr.

Exact compensation may vary based on several factors, including skills, experience, and education.

Employees in this role will enjoy a comprehensive benefits package starting on day one of employment, including options for medical, dental, and vision insurance. Eligibility to enroll in the 401(k) retirement plan begins after 90 days of employment. Additionally, employees in this role will have access to paid sick leave and other paid time off benefits as required under the applicable law of the worksite location.