Lead Product Manager

TriNet is a leading provider of comprehensive human resources solutions for small to midsize businesses (SMBs). We enhance business productivity by enabling our clients to outsource their HR function to one strategic partner and allowing them to focus on operating and growing their core businesses. Our full-service HR solutions include features such as payroll processing, human capital consulting, employment law compliance and employee benefits, including health insurance, retirement plans and workers’ compensation insurance.

TriNet has a nationwide presence and an experienced executive team. Our stock is publicly traded on the NYSE under the ticker symbol TNET. If you’re passionate about innovation and making an impact on the large SMB market, come join us as we power our clients’ business success with extraordinary HR.

Don't meet every single requirement? Studies have shown that women and people of color are less likely to apply to jobs unless they meet every single requirement. At TriNet, we are dedicated to building a diverse, inclusive and authentic workplace, so if you're excited about this role but your past experience doesn't align perfectly with every single qualification in the job description, we encourage you to apply anyway. You may just be the right candidate for this or other roles.

A Brief Overview
The Lead Product Manager – Data Enablement role will be responsible for the roadmap, requirements, and orchestration of the implementation of shared data enablement solutions (i.e., Data Consolidation, Golden Record Management, Data Offering). 

Locations
United States (Remote)

What you will do

• Application Vision & Strategy
  • Define and communicate the application vision and strategy.
  • Develop and maintain a roadmap based on this vision and applicable use cases and business needs.
  • Ensure the solutions align with the company’s overall strategy and goals.
• Backlog Management
  • Translate the strategy into detailed requirements 
  • Manage the backlog, including prioritizing tasks based on changing requirements.
  • Incorporate feature requests into the product roadmap.
  • Develop user stories and define acceptance criteria.
• Development Oversight
  • Oversee all stages of creation, including design and development.
  • Monitor and evaluate progress at each stage of the process.
  • Participate in Scrum meetings and sprints.
• Stakeholder Collaboration
  • Collaborate with prospective users to understand and anticipate their needs.
  • Work with the team and end-users to deliver updates and status reports.
  • Communicate goals, progress, and outcomes to senior management.
• Release Planning
  • Plan releases and upgrades.
  • Follow the progress of work and address production issues during sprints.
  • Ensure timely delivery of features and enhancements.
• Continuous Improvement
  • Analyze preferences and requests of end-users.
  • Refine the agile methodology based on results and client feedback.
  • Keep track of industry trends and incorporate them into the product development process.
• Data Modeling & Design
  • Develop and maintain conceptual data models.
• Work Hygiene
  • Demonstrate exceptional organizational skills, attention to detail, and the ability to work collaboratively across the organization to drive impactful results.
• Risk Management
  • Identify data-related risks and develop mitigation strategies.
  • Ensure data solutions support data privacy and security requirements.

Education Qualifications

• Bachelor's Degree in information science, data management, computer science or related field or equivalent experience preferred 

Experience Qualifications

• Typically 8+ years experience in data analysis or computer programming 
• Typically 2+ years Experience working with industry standards, regulations, and guidelines in database warehousing and other relevant systems. 
• Experience working with domain structures; conceptual, logic and physical. 

Skills and Abilities

• Strong understanding of data management concepts, including data governance, data quality, data integration, and master data management. 
• Proficiency in data analysis techniques, data profiling tools, and data quality management tools. 
• Experience with data integration tools and technologies (e.g., ETL, data pipelines, API integrations). 
• Knowledge of data privacy regulations (e.g., GDPR, CCPA) and experience impleme