Expleo
Data Product Manager
- Saint Paul, Minnesota
- Remote
- other
- $144kโ$153k/year
- Posted today
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About the role
Overview
Location: Fully Remote (Must be located within the United States)
Client Location: St. Paul, Minnesota
Are you passionate about transforming complex data ecosystems into scalable, high-value products? Trissential is hiring a Data Product Manager to join our client's team and help drive a major data modernization initiative. This is an opportunity to lead the strategy, roadmap, and execution of enterprise data products that directly impact decision-making, operational efficiency, and future innovation across a large public-sector organization
What's In It for You?
Lead a large-scale data transformation initiative focused on modernizing legacy systems and enabling enterprise-wide data accessibility
Shape the vision and roadmap for critical data products, analytics platforms, and data services
Work alongside data engineers, architects, analysts, scientists, and business leaders to drive meaningful outcomes
Influence enterprise data governance, responsible AI practices, and data-sharing frameworks
Help build trusted, reusable, and scalable data assets that support long-term organizational success
Enjoy the flexibility of a remote work environment while working on high-impact initiatives
Your Role & 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
Skills & Experience You Should Possess
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
Bonus Points If You Have
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
Education & Certifications You Need
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
Product Management, Data Management, Cloud, or Analytics certifications are advantageous
What We Offer
At Trissential, we believe talented professionals perform their best when they are empowered, supported, and given opportunities to make a meaningful impact. By joining our client's team, you'll play a key role in a major modernization initiative while enjoying flexibility, collaboration, and career growth opportunities
Competitive Compensation โ You choose the model that works best for you, both with company-sponsored benefits! $144,000โ$153,000 annually or $89โ$95 per hour. Final compensation is determined based on skill alignment, years of experience, and fair, market-based rates by geography.
Comprehensive Benefits for you and your dependents โ Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
Paid Time Off โ Both compensation models offer paid time away from work
Fully Remote Flexibility โ Work remotely while collaborating with a high-performing cross-functional team
Career Growth Opportunities โ Gain exposure to enterprise-scale data modernization, governance, analytics, and product leadership
Collaborative Culture โ Partner with experienced professionals who value innovation, accountability, and continuous improvement
This opportunity is only available to candidates who are authorized to work in the United States
Ready to be part of something exciting?
If you're passionate about data-driven innovation, enterprise data strategy, and building products that create measurable impact, we'd love to hear from you. Apply today and take the next step in your career as a Data Product Manager with Trissential
Skills
- Data product management
- Data architecture
- Data modeling
- Data governance
- SQL
- ETL processes
- Data pipelines
- Stakeholder management
- Product roadmapping
- Data analytics
- Data engineering
- Metadata management
- Cloud data platforms
- Business strategy
- Data warehousing
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