Data Product Manager

Trissential

Saint Paul (MN)

On-site

USD 144,000 - 153,000

Full time

36 hours ago
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Benefits offered by this job

Competitive compensation
Comprehensive benefits
Paid time off
Fully remote flexibility
Career growth opportunities
Collaborative culture

Job summary

Trissential is seeking a Data Product Manager to lead a major data modernization initiative for a large public-sector client. You will own strategy, roadmap, and execution of enterprise data products that influence decision-making and operational efficiency.

You will collaborate with data engineers, architects, analysts, scientists, and business leaders to shape data platforms, governance, and scalable assets. This role offers fully remote work within the United States.

Qualifications

  • 8+ years of experience in Data Product Management, Data Management, Data Analytics, or related disciplines.
  • Proven ability to lead products and teams within complex 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 translating 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.

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 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

Data product management
Data governance
Stakeholder management
Roadmapping
SQL
Data architecture
Communication

Education

Bachelor's degree in CS, IS, Analytics, or related field

Tools

Databricks
dbt
Looker
Tableau
Power BI
Google Analytics
Python
Java

Job description

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 - You choose the model that works best for you, both with company-sponsored benefits! $144,000-$153,000 annually or $89-$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 - Medical, dental, vision, free tele-health, HSA with company contribution, life and disability insurance, and 401k with matching
  • Paid Time Off - Both compensation models offer paid time away from work
  • Fully Remote Flexibility - Work remotely while collaborating with a high-performing cross-functional team
  • Career Growth Opportunities - Gain exposure to enterprise-scale data modernization, governance, analytics, and product leadership
  • Collaborative Culture - 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

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