Data Product Manager

Expleo • St Paul, MN

4d • Remote

About The Position

Trissential is hiring a Data Product Manager to join their client's team and help drive a major data modernization initiative. This role involves leading the strategy, roadmap, and execution of enterprise data products that impact decision-making, operational efficiency, and future innovation across a large public-sector organization. The position offers the flexibility of a remote work environment while working on high-impact initiatives, focusing on modernizing legacy systems and enabling enterprise-wide data accessibility. The Data Product Manager will shape the vision and roadmap for critical data products, analytics platforms, and data services, working alongside data engineers, architects, analysts, scientists, and business leaders. Responsibilities include defining and executing the vision, strategy, and roadmap for enterprise data products, identifying high-value opportunities, and aligning data product initiatives with enterprise architecture and organizational goals. The role also involves managing the end-to-end lifecycle of data products, translating business requirements into data transformations, ensuring data quality and governance, and serving as a liaison between technical teams and business stakeholders. Success metrics, adoption, performance, and business impact will be measured, and the role will support the development of dashboards, KPIs, reporting frameworks, and analytics solutions, while promoting responsible data use, privacy, governance, and ethical AI practices.

Requirements

• 8+ years of experience in Data Product Management, Data Management, Data Analytics, Data Engineering, or related disciplines
• Proven ability to lead products and teams within complex and evolving environments
• Strong understanding of data architecture, data modeling, warehousing, metadata management, governance, and pipelines
• Experience collaborating with Data Architects, Data Engineers, Data Scientists, and Analytics teams
• Strong stakeholder management and communication skills with the ability to translate technical concepts into business language
• Experience developing and managing product roadmaps and prioritization frameworks
• Proficiency with SQL and data pipeline technologies
• Hands-on experience with data lakes, ETL processes, and enterprise data platforms
• Strong analytical and problem-solving skills with a focus on measurable business outcomes
• Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business, or a related field preferred
• Equivalent combinations of education and relevant professional experience will be considered
• Authorized to work in the United States

Nice To Haves

• Significant experience with Databricks
• Experience using dbt, Looker, Tableau, Power BI, or Google Analytics
• Familiarity with Python and Java
• Experience implementing modern enterprise data architectures
• Background building internal platforms or developer-focused products
• Experience within a highly regulated industry involving reporting, compliance, and statistical analysis
• Understanding of data-sharing agreements and large-scale organizational data-sharing constraints
• Experience supporting cloud-based data modernization initiatives
• Product Management, Data Management, Cloud, or Analytics certifications are advantageous

Responsibilities

• Define and execute the vision, strategy, and roadmap for enterprise data products
• Identify high-value opportunities by assessing business needs, data landscapes, and organizational challenges
• Align data product initiatives with enterprise architecture strategies and organizational goals
• Lead the end-to-end lifecycle of data products, from ideation through deployment, enhancement, and retirement
• Partner closely with data engineering and data science teams to build scalable data pipelines, models, and services
• Translate business requirements into data transformations, metadata structures, and domain-specific data rules
• Ensure data products maintain high standards for quality, governance, documentation, lineage, and scalability
• Serve as the primary bridge between technical teams and business stakeholders
• Communicate product roadmaps, value propositions, priorities, and outcomes to leadership and cross-functional teams
• Define product success metrics and measure adoption, performance, and business impact
• Support the development of dashboards, KPIs, reporting frameworks, and analytics solutions
• Promote responsible data use, privacy compliance, governance standards, and ethical AI practices
• Provide knowledge transfer and mentorship to teams throughout the product lifecycle

Benefits

• Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
• Paid Time Off
• Fully Remote Flexibility
• Career Growth Opportunities
• Collaborative Culture

What This Job Offers

• Job Type: Full-time
• Career Level: Senior