Data Product Manager

This is a fully remote position, open to applicants in Minnesota.

📋 Description

• Develop and implement the vision, strategy, and roadmap for enterprise data products.

• Discover high-value opportunities by evaluating business needs, data environments, and organizational challenges.

• Align data product projects with enterprise architecture strategies and organizational objectives.

• Oversee the complete lifecycle of data products, from conception through deployment, enhancement, and decommissioning.

• Collaborate with data engineering and data science teams to create scalable data pipelines, models, and services.

• Convert business requirements into data transformations, metadata structures, and domain-specific data regulations.

• Ensure data products uphold high standards for quality, governance, documentation, lineage, and scalability.

• Act as the main liaison between technical teams and business stakeholders.

• Convey product roadmaps, value propositions, priorities, and results to leadership and cross-functional teams.

• Establish product success metrics and assess adoption, performance, and business impact.

• Assist in the creation of dashboards, KPIs, reporting frameworks, and analytics solutions.

• Advocate for responsible data usage, privacy compliance, governance standards, and ethical AI practices.

• Provide knowledge transfer and mentorship to teams throughout the product lifecycle.

• Lead a significant data modernization initiative for a large public-sector organization.

⛳️ Requirements

• Over 8 years of experience in Data Product Management, Data Management, Data Analytics, Data Engineering, or related fields.

• Demonstrated ability to lead products and teams in complex and dynamic environments.

• Strong knowledge of data architecture, data modeling, warehousing, metadata management, governance, and data pipelines.

• Experience working with Data Architects, Data Engineers, Data Scientists, and Analytics teams.

• Excellent stakeholder management and communication skills, with the ability to convert technical concepts into business terminology.

• Proven experience in developing and managing product roadmaps and prioritization frameworks.

• Proficient in SQL and data pipeline technologies.

• Practical experience with data lakes, ETL processes, and enterprise data platforms.

• Strong analytical and problem-solving capabilities, focusing on measurable business outcomes.

• Extensive experience with Databricks.

• Familiarity with tools such as dbt, Looker, Tableau, Power BI, or Google Analytics.

• Knowledge of Python and Java is a plus.

• Experience implementing modern enterprise data architectures.

• Background in creating internal platforms or developer-focused products.

• Experience in a highly regulated industry involving reporting, compliance, and statistical analysis.

• Understanding of data-sharing agreements and large-scale organizational data-sharing limitations.

• Experience supporting cloud-based data modernization efforts.

• A Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related discipline is preferred.

• Equivalent combinations of education and relevant professional experience will be accepted.

• Certifications in Product Management, Data Management, Cloud, or Analytics are beneficial.

• Proficiency in English is essential.

• Must reside within the United States.

• Authorized to work in the United States; visa sponsorship is not available.

🏝️ Benefits

• Medical, dental, and vision insurance.

• Free tele-health services.

• Health Savings Account (HSA) with company contribution.

• Life and disability insurance.

• 401(k) plan with matching contributions.

• Paid time off.

• Fully remote work flexibility.

• Opportunities for career advancement.

• Exposure to enterprise-scale data modernization, governance, analytics, and product leadership.

• A collaborative workplace culture.

• Company-sponsored benefits.