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
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