Data Product Manager

About the Role

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

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

• 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

Preferred Qualifications

• 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

• 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

Benefits

• Competitive Compensation – You choose the model that works best for you, both with company-sponsored benefits
• 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

Pay

• $144,000–$153,000 annually or $89–$95 per hour