[Hiring] Data Product Manager @Expleo

Role Description

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.

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.

Qualifications

• 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.

Benefits

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