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Senior Product Manager, Data Model

TempUs
Chicago, Illinois, US
Full-time

Passionate about precision medicine and advancing the healthcare industry?

Submit your CV and any additional required information after you have read this description by clicking on the application button.

Recent advancements in underlying technology have finally made it possible for AI to impact clinical care in a meaningful way.

Tempus' proprietary platform connects an entire ecosystem of real-world evidence to deliver real-time, actionable insights to physicians, providing critical information about the right treatments for the right patients, at the right time.

As a Senior Product Manager, Data Model at Tempus, you’ll be at the center of improving the data used by internal and external customers to improve patient care.

In particular, the product leader for the Tempus Data Model will be responsible broadly for increasing multi-modal Tempus datasets that are available for our customers.

These data are used both internally for development of models and diagnostics, and externally by Life Sciences partners and others.

In this role, you will be a critical leader in developing one of the most novel and useful data assets in the AI and precision medicine space today.

You will develop a central data strategy focused on clinical, molecular and imaging data assets across functional initiatives to ensure that we not only have the largest, but also the most high-quality collection of data.

The strategy you build will yield measurable improvements to the work being done by our data customers. And, it will inform the roadmap for infrastructure and documentation developed by our Real World Data team such that producers and consumers can more easily create, maintain, and analyze data.

You’ll also partner with engineering leaders on inputs that inform the infrastructure and standards that will allow for increased data ease of use and quality.

What You'll Do :

  • Immerse yourself in the tough problems we’re solving and partner with scientists, engineers, and designers to develop elegant software solutions to solve those problems.
  • Broadly lead our Data Modeling, Informatics and Data Delivery programs, owning everything from the end-to-end data product strategy to the roadmap for addressing critical data needs for our customers.
  • Turn Voice of Customer feedback from our data customers into a high-impact strategy and plan for data use and quality improvements.
  • Conduct deep product analysis and use the data to guide the short- and long-term roadmap for the data content, modeling and architecture engineering team.
  • Own stakeholder communication and expectation management around roadmap and delivery timelines for your products, in particular to data business leaders, alliance managers, RWE and engineering stakeholders.
  • Build the Tempus Data Model roadmap across Tempus data products articulating business value for our clinical, molecular and imaging data assets.
  • Assess data quality needs and drive the Tempus data quality program.

Qualifications :

  • 7+ years of technical experience in product management or in building software in the tech or healthcare industry.
  • Exceptional ability to build and drive product strategy cross-functionally, across teams whose roadmaps you manage directly and those you don’t.
  • Ability to manage several programs at once and work proactively to align multi-disciplinary stakeholders.
  • A history of working with healthcare data that are an output of patient care including EMR data, molecular testing data and imaging data is preferred.
  • Experience in complex data de-identification, data modeling, healthcare informatics and / or AI-driven data enrichment.
  • Experience with software development and project management tools (JIRA, Trello, etc.).
  • Ability and interest to quickly ramp up on new concepts in the fields of genomics, oncology, etc.
  • Excellent written and verbal communication skills, including the ability to act as translator among diverse teams of biologists, medical professionals, engineers, operators, and data scientists.

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8 hours ago
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