
201 - 500 employees
Founded 2003
đĽ Healthcare
đŚ Logistics
đŁ Marketing
Healthcare ⢠Logistics ⢠Marketing
Trissential is a management consulting firm that focuses on delivering innovative solutions and services in areas such as data and analytics, quality assurance, and digital product development. As part of Expleo, Trissential harnesses the power of global reach and local trust to assist organizations in navigating technological changes and achieving strategic alignment. With a commitment to high-performing teams and their extensive experience in various industries including healthcare and financial services, Trissential aims to provide tailored solutions that drive success for its clients.
đĽ 0 minutes ago
âď¸ Minnesota â Remote
đľ $144k - $153k / year
â° Full Time
đ Senior
đ´ Lead
â Product Manager
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201 - 500 employees
Founded 2003
đĽ Healthcare
đŚ Logistics
đŁ Marketing
Healthcare ⢠Logistics ⢠Marketing
Trissential is a management consulting firm that focuses on delivering innovative solutions and services in areas such as data and analytics, quality assurance, and digital product development. As part of Expleo, Trissential harnesses the power of global reach and local trust to assist organizations in navigating technological changes and achieving strategic alignment. With a commitment to high-performing teams and their extensive experience in various industries including healthcare and financial services, Trissential aims to provide tailored solutions that drive success for its clients.
⢠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 ⢠Drive a major data modernization initiative for a large public-sector organization
⢠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 ⢠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 ⢠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 ⢠English essential ⢠Must be located within the United States ⢠Authorized to work in the United States; no visa sponsorship
⢠Medical, dental, and vision insurance ⢠Free tele-health ⢠HSA with company contribution ⢠Life and disability insurance ⢠401k with matching ⢠Paid time away from work ⢠Fully remote flexibility ⢠Career growth opportunities ⢠Exposure to enterprise-scale data modernization, governance, analytics, and product leadership ⢠Collaborative culture ⢠Company-sponsored benefits
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