Director, Data Product & Operations (HYBRID: Chicago, NYC, RTP)

Passionate about precision medicine and advancing the healthcare industry?

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.

Location: [Chicago, IL; New York, NY; RTP, NC] This is a Hybrid role, so you are required to be onsite 3 days a week

About Tempus:

Tempus is a technology company advancing precision medicine through the practical application of AI in healthcare. We have built one of the largest libraries of multimodal clinical and molecular data, and an operating system to make that data accessible and useful — helping physicians make real-time, data-driven decisions and accelerating the development of new therapies. The breadth and quality of our data is a core competitive advantage. Realizing that advantage depends on continually bringing new, high-value data sources onto our platform — from genomic and pathology labs to EHR-integrated provider networks, real-world data aggregators, and clinical content partners — and integrating them in a way that is scalable, compliant, and genuinely useful to downstream products.

The Role:

We’re hiring a Director, Data Product & Operations to set the strategy, roadmap, and operating model for data partnerships and integrations across the Tempus data platform; and lead a cross-functional team of SMEs that delivers it. You will be the connective tissue between external data partners and our internal platform, clinical, and engineering teams and will define the strategy for what data we bring on, how we ingest and normalize it at scale, and how we turn it into a reliable, productized asset, while establishing the standards, processes, and cross-functional team that make it repeatable.

This is a leadership role for someone who is equally comfortable leading through others and operating in partner negotiations, a data model design reviews, and a roadmap prioritization discussions. You will represent Tempus to executive stakeholders at partner organizations, help shape company-level data strategy, and be accountable for the outcomes of our partnerships. You’ll work across a diverse partner landscape spanning genetic and oncology testing labs, genomics and sequencing providers, radiology imaging providers, EHR and provider data collaborations, FHIR-based health data platforms, and real-world data.

What You'll Do:

• Own the data-source strategy and multi-quarter roadmap. Define the strategy and prioritization framework for which data sources and partners to integrate across the portfolio, balancing strategic value, clinical utility, technical effort, and compliance risk.

• Lead the cross-functional team and operating model. Establish the cross-functional squad model — Connectivity Engineers, Data Product Engineers, and Domain SMEs — that executes integrations end to end, from intake through production launch and ongoing operations to support the ingress of new data sources and modalities at Tempus. 

• Own executive-level partner relationships. Work alongside commercial partners and legal leadership to evaluate prospective partners, shape the strategy for data-sharing arrangements, and translate partnership terms into concrete product and integration requirements, serving as a senior point of contact for partners.

• Own delivery and operational excellence across the portfolio. Establish scalable, repeatable processes for onboarding new data sources — ingestion, normalization, quality validation, and ongoing integration monitoring — and hold the organization accountable to delivery timelines and operational SLAs, in partnership with engineering and data teams.

• Set data product requirements. Own the requirements for data formats, interoperability standards (e.g., FHIR, HL7), metadata, and provenance so every source across the platform is consistent and trustworthy, and so standards scale as the portfolio grows.

• Own the productization strategy for integrated data. Ensure integrated data is discoverable and well-documented for the clinical, product, and research teams who build on the platform; gather their requirements and feed them back into the roadmap and strategy.

• Own outcome