Note: The job is a remote job and is open to candidates in USA. Dice is seeking an experienced Data Product Manager to lead the strategy, development, and delivery of data-driven products and solutions. The role will define product requirements and roadmaps, prioritize backlogs, collaborate with business and technical teams, and use data, analytics, and AI/ML to deliver measurable business value.

Responsibilities

• Define and own the vision, strategy, and roadmap for data products
• Partner with business stakeholders to understand business needs and translate them into data and product requirements
• Develop and prioritize product backlogs, user stories, and acceptance criteria
• Collaborate with Data Engineers, Data Scientists, Analysts, and Software Engineers to deliver scalable data products
• Identify opportunities to leverage data, analytics, and AI/ML to improve business outcomes
• Define key product metrics, KPIs, and success criteria
• Analyze user and business data to identify trends, opportunities, and areas for improvement
• Manage product releases and communicate roadmap, priorities, and progress to stakeholders
• Ensure data products meet requirements related to data quality, governance, security, and compliance
• Facilitate Agile ceremonies and work effectively with cross-functional teams
• Gather feedback from users and stakeholders and continuously improve the product
• Monitor product performance and use data-driven insights to prioritize enhancements
• Communicate complex data and technical concepts effectively to both technical and non-technical audiences

Skills

• Bachelor's degree in Computer Science, Information Technology, Business, Data Analytics, or a related field
• 5+ years of experience in Product Management, preferably with data, analytics, or technology products
• Strong understanding of data analytics, data pipelines, data platforms, and data governance
• Experience working with Agile/Scrum methodologies
• Strong experience with product roadmaps, backlog management, user stories, and prioritization
• Proficiency with SQL and the ability to analyze and interpret data
• Experience working with BI/analytics tools such as Power BI, Tableau, or Looker
• Strong stakeholder management and communication skills
• Ability to work effectively with engineering, data science, analytics, and business teams
• Strong analytical, problem-solving, and decision-making skills
• Experience building or managing data products, data platforms, or analytics products
• Experience with cloud platforms such as AWS, Azure, or Google Cloud Platform
• Knowledge of modern data technologies such as Snowflake, Databricks, Spark, Kafka, or similar platforms
• Exposure to AI/ML products and use cases
• Experience with data governance, data quality, privacy, and security
• Product Management certifications are a plus

Benefits

• Remote work

Company Overview

Company H1B Sponsorship