Senior Technical Product Manager, Data Connectivity

Datavant is the data collaboration platform trusted for healthcare. Guided by our mission to make the worlds health data secure accessible and actionable we provide critical data solutions for organizations across the healthcare ecosystem - including providers health plans researchers and life sciences companies. From fulfilling a single patients request for their medical records to powering the AI revolution in healthcare Datavanters are building the future of how data is connected and used to improve health.

By joining Datavant today youre stepping onto a driven and highly collaborative team that is passionate about creating transformative change in healthcare.

The Data Connectivity team builds the products and technical foundations that enable healthcare organizations to securely connect and use data across organizations workflows and technology ecosystems while preserving privacy and trust.

At the center of this portfolio is a highly technical foundation spanning core data connectivity engines and SDKs shared services APIs authentication configuration observability and infrastructure. These components power the products and integrations our customers use across Datavant-owned applications cloud and data platforms and other healthcare workflows.

As our portfolio grows were investing in making these foundations increasingly reusable scalable reliable and easy for other teams and products to build upon. Were also exploring how these foundations should evolve for an AI-native futureincluding making Data Connectivity capabilities easier for AI applications and agents to consume and using AI to materially improve how we build test operate and evolve complex technical systems.

Were looking for a Senior Technical Product Manager to own the product strategy and evolution of the core technical foundations that power Datavants Data Connectivity portfolio. Youll work closely with Engineering across our core engines SDKs APIs shared services and infrastructureturning new capabilities and technical innovations into stable reusable functionality that can be delivered across products and deployment models.

AI will be an important part of this evolution. Youll help determine how our APIs SDKs services and developer experiences should evolve for AI-enabled and agentic consumption while identifying opportunities to leverage AI across software development testing automation observability and operational workflows.

This role sits at an important intersection of Product and Engineering. Youll need enough technical depth to engage meaningfully in architectural discussions and identify opportunities for reuse scalability and simplificationwhile maintaining a strong product perspective on customer value priorities and investment tradeoffs.

You wont be expected to design the architecture or manage Engineering. Youll partner closely with senior engineers and Engineering leadership bringing clarity to what problems we should solve why they matter what requirements and outcomes solutions need to satisfy and where we should invest.

• Own product strategy roadmap and prioritization for core Data Connectivity engines SDKs APIs shared services and related technical foundations.
• Translate customer product and internal developer needs into clear technical product requirements and priorities.
• Productize new capabilities and technical innovations into stable reusable functionality that downstream products and integrations can consume.
• Drive the evolution of SDKs and APIs with a focus on usability stability extensibility backward compatibility and developer experience.
• Partner deeply with Engineering to simplify architecture and duplication manage technical dependencies and create leverage across products and delivery modalities.
• Evolve Data Connectivity interfaces and technical foundations for AI-enabled and agentic workflows while identifying and measuring high-value applications of AI across developer tooling software delivery testing observability automation and operations.
• Shape shared services spanning areas such as authentication configuration observability usage measurement reliability and deployment foundations.
• Balance investments across new capabilities scalability reliability security technical modernization AI enablement and existing customer needs.
• Partner with Privacy Security Compliance and Engineering to ensure technical foundations meet Datavants privacy and security requirements.
• Define measurable outcomes for technical investments including reliability performance developer productivity reuse and speed of product delivery.
• Determine when emerging technical innovations are ready to transition from experimentation into production bringing structure and product judgment while Engineering owns technical implementation and architectural decisions.
• Contribute to the broader Data Connectivity strategy and help shape how its technical foundations evolve as the portfolio grows.

• You have 7 years of experience in Product Management Technical Product Management Engineering or a similarly technical product role with demonstrated ownership of complex technical products.
• You have strong technical fluency and can engage meaningfully with engineers on APIs SDKs distributed systems services infrastructure data architecture and system design.
• You have experience building managing and evolving SDKs APIs developer tools shared services infrastructure or other reusable technical products including products whose users may be developers or other product teams.
• You are a systems thinker who understands how decisions in one part of a technical ecosystem affect downstream products users and teams.
• You are curious and pragmatic about AI. You actively use and evaluate emerging AI tools understand where they can materially improve technical products and engineering workflows and distinguish durable value from technology for technologys sake.
• You understand the boundary between Product and Engineering: you provide clarity on problems outcomes priorities and tradeoffs while partnering with Engineering on how those problems are technically solved.
• You are excellent at translating complex technical concepts into clear product decisions and communicating them to technical and non-technical audiences.
• You are highly organized and comfortable operating in ambiguity bringing structure and momentum to complex technical initiatives with significant dependencies and evolving requirements.
• You are proactive and independent exercising sound judgment and making thoughtful recommendations with incomplete information.
• You care about quality reliability security and maintainabilitynot simply shipping new functionality.

• Prior experience as a software engineer data engineer solutions architect or other hands-on technical role.
• Experience building AI-enabled technical products or applying AI to developer workflows software development testing observability automation or technical operations.
• Experience with cloud-native architectures distributed systems CI/CD observability authentication/authorization or infrastructure automation.
• Experience with data-intensive or privacy-sensitive products particularly in healthcare or life sciences.
• Familiarity with cryptography identity resolution privacy-preserving technologies or healthcare data connectivity.
• Experience modernizing complex technical systems while maintaining backward compatibility and existing customer commitments.

Data Connectivity is foundational to how healthcare organizations responsibly use data together. The quality of the underlying technical foundation directly affects how quickly Datavant can innovate how reliably customers can use our products and how easily new capabilities can reach the market.

Youll have meaningful ownership of the technical products at the center of that system working with experienced engineers and domain experts to translate emerging innovations into production capabilities and build foundations that create leverage across a growing portfolio. Youll also help define what an AI-native technical foundation for trusted healthcare data connectivity should look likefrom how our capabilities are exposed to AI applications and agents to how AI changes the way complex systems are built tested operated and improved.

As the Data Connectivity organization evolves youll have the opportunity to shape not just individual technical products but how Datavant builds and scales Data Connectivity for the future.

• Competitive and equitable salary
• Hybrid work model with two days per week based in our Gràcia office
• Daily in-office lunch stipend and access to a fully stocked kitchen
• Comprehensive private health insurance including out-of-network reimbursement options
• 25 days of annual paid leave
• Six-week Work from Anywhere policy

To ensure the safety of patients and staff many of our clients require post-offer health screenings and proof and/or completion of various vaccinations such as the flu shot Tdap COVID-19 etc. Any requests to be exempted from these requirements will be reviewed by Datavant Human Resources and determined on a case-by-case basis. Depending on the state in which you will be working exemptions may be available on the basis of disability medical contraindications to the vaccine or any of its components pregnancy or pregnancy-related medical conditions and/or religion.

This job is not eligible for employment sponsorship.

Datavant is committed to a work environment free from job discrimination. We are proud to be an Equal Employment Opportunity employer and all qualified applicants will receive consideration for employment without regard to race color sex sexual orientation gender identity religion national origin disability veteran status or other legally protected learn more about our commitment please review our EEO Commitment Statement here. Know Your Rights explore the resources available through the EEOC for more information regarding your legal rights and addition Datavant does not and will not discharge or in any other manner discriminate against employees or applicants because they have inquired about discussed or disclosed their own pay.

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