Product Manager - Strategic Planning & Forecasting

Trinity Life SciencesBarrington, RI
5d$115,000

About The Position

We're committed to bringing passion and customer focus to the business. We are hiring a Product Manager to take a hands-on leadership role in building and launching a product central to Trinity’s Strategic Planning & Forecasting practice. Over time, this PM will expand into a broader remit, supporting the Product Lead across our full suite of Strategic Planning & Forecasting solutions. This role is ideal for a consultant who brings strong domain knowledge – especially in Life Sciences New Product Planning and/or healthcare secondary data analytics – technical fluency, and a desire to support Business Development. Trinity’s Product group is focused on creating transformative products that address our life sciences clients’ most challenging problems in the commercialization of novel therapeutics. We work side-by-side with business leaders, engineers, and designers to build and optimize technology products for the biopharmaceutical and medical device space. Our dynamic team has a culture of high-velocity and high-quality work, while maintaining a collaborative and supportive environment where curiosity and innovation are highly valued. Our solutions are driven by close collaboration with Trinity’s expert strategic advisors, who are thought leaders shaping the industry’s trajectory. This Product Manager will partner closely with experienced product leaders and advisory experts to develop data-driven solutions for Trinity’s Strategic Planning & Forecasting practice.

Requirements

  • Education: Bachelor's degree or equivalent practical experience
  • Work Experience: 3+ years of experience in Life Sciences Consulting OR Management Consulting, with a focus on either Life Sciences New Product Planning and/or healthcare secondary data (claims) analytics
  • Pharmaceutical forecast development experience is a plus
  • Strong interest in learning Product and growing into a high-performing Product Manager, with evidence of self-driven skill building
  • Track record of excellence, demonstrated through professional accomplishments
  • Driven to work in client-facing teams
  • Willing to get hands-on, roll up their sleeves, and do what is needed to move the product forward
  • Ability to both see the big picture and maintain the highest level of rigor and attention-to-detail in all work
  • Collaborates and communicates effectively across a range of stakeholder types and levels
  • Ability to understand technical concepts and build credibility with technical teams through consistent, clear, and detail-oriented communication
  • Is driven to continually learn, including about the rapidly evolving field of GenAI

Nice To Haves

  • Prior Product Management experience is neither expected nor required, but the candidate will be assessed to determine capacity for key product management competencies
  • Any technical skills, including (especially!) those learned independently, are a plus.
  • Displays a history of independently adopting technology to facilitate workflows
  • Qualitative understanding of statistical methods and limitations is a plus
  • Thrives in a dynamic, fast-paced environment with multiple workstreams and changes in direction

Responsibilities

  • Work collaboratively and iteratively with Advisory experts, Engineering, Data Science, and UI/UX to design, validate, build, and launch new products/features that add value to users.
  • Translate business needs into detailed product requirements in close collaboration with Advisory experts.
  • Iterate on requirements in response to feedback from Engineering, Automation, and Data Science teams
  • Identify and help assess potential data sources and metrics
  • Leverage New Product Planning (NPP) and healthcare secondary data experience to process unstructured data, both via manual processing and development of GenAI-assisted automation workflows
  • Write data processing requirements for Automation teams and QC automation outputs
  • Interface with Engineering, Automation, and Data Science teams on a daily basis
  • Perform user acceptance testing (UAT) of solution functionality and data science outputs.
  • Provide feedback to drive towards greater value for NPP use cases
  • Support Business Development via creation of go-to-market materials and proposals
  • Support roadmap and release planning to align the sequencing of product feature builds with business needs
  • Help identify value-adding integrations of GenAI tools in solutions
  • Support the training and education of internal and client users
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