Associate Director, Commercial Data Management Technical Lead

How We Work - The Product Operating Model:

At Jazz, we operate using a modern Product Operating Model to shape, deliver, and evolve our digital capabilities. Cross-functional, empowered global capability product teams own outcomes—not just outputs—and work from clear product visions, strategies, and measurable goals. We prioritize user problems, validate solutions through experimentation and data, and iterate quickly to create real value for our users and the business. As part of this model, you’ll collaborate closely with development, design, and stakeholders across the organization, using discovery and delivery practices to ensure we’re building the right things, in the right way, at the right time.

The Commercial Tech Lead, Data Management, provides hands‑on technical leadership and architectural guidance for the Data Management Product team within the Data Enablement & Platforms suite. Reporting to the Data Enablement & Platforms Technical Suite Lead, this role works in close partnership with the Product Owner(s) to shape technical direction and ensure capability priorities translate into clear, executable plans. From there, the Tech Lead works alongside development teams, security, compliance, infrastructure teams and/or vendor partners to design, build and deliver scalable, secure, and compliant solutions.

The Data Management team builds and operates integrated commercial data products that deliver unified, 360‑degree views of customers and enable analytics, orchestration, targeting, and market access use cases. These products integrate and standardize data across domains such as HCP, KOL, HCO, payer, patient, consent, and product - ensuring consistent, high‑quality, and governed data is available across the enterprise. As the Tech Lead, this role is a hands‑on contributor and technical leader, directly involved in designing, building, and delivering solutions for commercial data products, semantic data layers, and data integration frameworks, bringing technical depth and leadership to every stage of the work.

• Partner closely with the Data Management Product Owner to design solutions that solve business problems, providing technical insight into what the technology can and cannot do, effort levels, and tradeoffs.

• Collaborate with the Data Enablement & Platforms Technical Suite Lead and Architects to translate product roadmaps into scalable and compliant technology architectures and development plans while assessing feasibility, constraints, dependencies, and risks.

• Convert complex business requirements into clear technical specifications and executable technical work tasks.

• Lead the technical team and drive work plans, building, configuration, and integration of software aligned to business needs and technology standards, including:

  • Commercial Data Products, integrated data assets delivering unified 360-degree views of HCPs, HCOs, payers, and patients.

  • Semantic Data Layer, standardized business representations of data enabling consistent analytics, reporting, and orchestration.

  • Business Rules Layers (BRLs), logic layers that standardize calculations, transformations, and business definitions across data products.

  • Data Integration & Transformation Pipelines, enabling ingestion, harmonization, and distribution of data from multiple enterprise sources.

• Translate technical requirements into well‑defined work for the development team, lead Agile ceremonies, and ensure disciplined execution of the capability roadmap, taking ownership of complex technical challenges end to end.

• Guide development teams in building scalable and compliant data products that ensure data accuracy, consistency, discoverability, accessibility, and usability across use cases.

• Ensure implementation of strong data governance practices, including data quality controls, validation rules, and monitoring frameworks.

• Support integration of data products with downstream systems such as analytics platforms, orchestration engines, and reporting tools.

• Enable reusable and standardized data product design…