Data Product Owner
Vor 7 Tagen
**_This opportunity is available at our Gaithersburg, MD, Waltham, MA or Munich, DE locations. _**
AstraZeneca is a global, science-led, patient-focused biopharmaceutical company that focuses on the discovery, development, and commercialization of prescription medicines for some of the world’s most serious diseases. We are more than one of the world’s leading pharmaceutical companies.
**Major Duties and Responsibilities**:
- Is the main point of contact for Oncology R&D users and stakeholders by collecting and prioritizing requirements and collecting feedback on product increments representing the data product throughout its lifecycle
- Is the user representative for product development teams and promotes direct feedback from internal and external users to the product teams
- Negotiates work with the data product engineers to ensure product delivery is targeting the key requirements
- Works closely with technology & architecture stakeholders to understand the technology and make sure we are building the products the right way
- Designs, evaluates, and manages delivery roadmaps for the managed products to realize technology and business strategy.
- Defines success for the managed products, ideally by defining measurable metrics, monitoring, and reporting to management and teams
- Organizes and reviews usability and User Experience (UX)
- Documents release notes, reviews, user guide/online help
- Works with other product owners and team leaders on build-or-buy decisions and integration plans, spanning the entire software stack across Oncology
- Works with the data operations and governance team to fit data flow and data provisioning schemes into the managed products and to ensure data governance policies are met
- Works with the semantic data integration team to facilitate knowledge graph integrations, dashboards, and analytics
- Organizes and conducts training and support
- Communicates product and product change (upgrades, replacements, phase-outs) to the user base and creates communication material for a broader and executive audience
**Minimum Qualifications**:
- Master’s Degree in natural or engineering sciences at a minimum
- 3+ years of expertise in the usage/the management of software for data analysis/management Expertise in ETL and data pipeline build
- Stakeholder communication and management
- Data analysis expertise
- Knowledge about omics data (genomics, transcriptomics, proteomics etc.)
- Experience implementing FAIR data principles
- Data modeling experience
- Experience in requirements engineering following lean and agile methods
- Experience in scrum
**Desirable Qualifications**:
- Ph.D. in natural or engineering sciences
- Experience using knowledge graphs and knowledge graph standards (RDF, RDFS, SPARQL, OWL, SKOS, DCAT, PROV-O, VOID)
- Experience with Knowledge Graph Dashboard tools (DisQover, Metaphacts)
- Knowledge of drug development (processes)
- Product development experience
**Why AstraZeneca?**
At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering groundbreaking methods, and bringing unexpected teams together. Interested? Come and join our journey.
**So, what’s next**
- Are you ready to bring new insights and fresh thinking to the table? Brilliant We have one seat available, and we hope it’s yours.
**Where can I find out more?
-
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