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Chicago, IL; New York, NY; RTP, NC. This is a hybrid role, so you are required to be onsite three days a week.

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 scalable, compliant, and useful way for downstream products.

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 subject‑matter experts that delivers it.

• Own the data‑source strategy and multi‑quarter roadmap: define the strategy and prioritization framework for which data sources and partners to integrate, balancing strategic value, clinical utility, technical effort, and compliance risk.
• Lead the cross‑functional team and operating model: establish the 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 with commercial partners and legal leadership to evaluate prospective partners, shape data‑sharing strategies, and translate partnership terms into concrete product and integration requirements.
• 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.
• 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.
• 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 outcomes and operational metrics: define targets for data coverage, completeness, freshness, quality, and adoption across data partnerships; use them to drive improvement and inform leadership.
• Own compliance and risk posture: partner with privacy, security, and regulatory leaders to ensure each integration meets HIPAA and applicable data‑governance, consent, and de‑identification mandates by design, and help shape data‑governance policy as the function scales.

• 10+ years in product management with experience owning data, platform, or integration products (or comparable experience in data engineering, technical program management, or partnerships).
• A track record of setting strategy and operating model for a function or portfolio and scaling it over time.
• Deep familiarity with healthcare data standards and interoperability (FHIR, HL7, OMOP, ICD/SNOMED/LOINC) and RWD/RWE.
• A strong technical foundation: comfort with data models, APIs, ETL/ELT pipelines, data quality concepts, and engaging credibly with engineers on design.
• Experience influencing external partners at the executive level; translating ambiguous agreements into clear requirements and managing relationships across boundaries.
• Ability to set strategy, prioritize ruthlessly, and drive execution across the organization, influencing engineering, legal, business development, and clinical leaders without direct authority.
• Excellent written and verbal communication; fluidly moving between partner conversations, executive briefings, and technical design discussions.

• Experience building or scaling data partnerships.
• Experience in healthcare, life sciences, genomics, or clinical data.
• Knowledge of HIPAA, data privacy, consent, and de‑identification practices.
• Experience with cloud data platforms and modern data infrastructure.
• Hands‑on SQL or scripting for data exploration and validation.

Tempus’ mission depends on the depth, breadth, and quality of its data. In this role you directly expand that foundation — every source you bring onto the platform makes our products smarter, our research more powerful, and our impact on patients more real.

$160,000 – $180,000. This range applies if the role is performed from Illinois and may vary for other locations (California, Colorado, NewYork). Actual salary may vary based on qualifications and experience.

Tempus offers a full range of benefits, which may include incentive compensation, restricted stock units, medical and other benefits depending on the position.

We are an equal‑opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.