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Director of Product Management – Data and Analytics

Director of Product Management – Data and Analytics

CompanyQ-Centrix
LocationChicago, IL, USA
Salary$140000 – $170000
TypeFull-Time
DegreesBachelor’s, Master’s, MBA
Experience LevelSenior, Expert or higher

Requirements

  • 7+ years of product management, product development, or related experience
  • Experience defining, delivering, and positioning enterprise data products
  • Proficient with data analysis, integration capabilities, reporting techniques
  • Ability to set a multi-year product strategy but also contribute to critical execution activities
  • Ability to manage a broad group set of internal and external stakeholders, balancing quantitative and qualitative sources
  • Ability to gain alignment and influence the priorities of multiple cross-functional teams
  • Understanding of product management processes, techniques, and best practices
  • Strong written and oral communication skills
  • BS or BA degree

Responsibilities

  • Understand and promote the value of the data, interface, reporting, and analytics capabilities across the Q-Centrix technology portfolio
  • Craft and communicate a comprehensive, coherent strategy for the product vertical
  • Actively manage the roadmap, defining and prioritizing new ideas, balancing strategic analysis and SDLC execution
  • Collaborate across the organization to align on the roadmap, launch prioritized initiatives, and coordinate go-to-market activities
  • Engage with internal and external partners to share the strategy, research usage, and solicit feedback
  • Enable market entry through new product introduction and innovation
  • Manage functional and technical dependencies across multiple teams
  • Report and monitor key performance metrics
  • Influence process optimization and resourcing strategy across the vertical
  • Mentor and support Product Management team members, fostering a culture of collaboration, continuous improvement, and professional growth.

Preferred Qualifications

  • Defining and delivering data products in the healthcare industry
  • Interacting with hospital, health system, or life sciences leadership teams
  • Understanding of AI and its application to enterprise data sources
  • Coaching and developing a team of direct reports
  • Usage metrics and software development tools
  • Presenting at industry events or conference
  • MBA or MS degree