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Senior Product Owner - Knowledge Graphs & AI (all genders)

TN Germany

Darmstadt

Vor Ort

EUR 70.000 - 90.000

Vollzeit

Vor 4 Tagen
Sei unter den ersten Bewerbenden

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Zusammenfassung

A leading company in the healthcare sector is seeking a seasoned Product Owner with expertise in Data & AI to drive product vision and strategy. This pivotal role involves defining the product roadmap, ensuring integration with R&D processes, and engaging in user testing. The ideal candidate will have a Master's degree, proven experience in product ownership, and familiarity with knowledge graphs. Join a multicultural team in an agile environment, with office presence required 2-3 days per week in Darmstadt.

Qualifikationen

  • Proven experience as a Product Owner or similar role.
  • Experience in the pharmaceutical or life sciences R&D domain is very beneficial.

Aufgaben

  • Drive product vision, strategy, and roadmap for Healthcare R&D knowledge graph.
  • Act as liaison between end users and engineering team.
  • Engage in user acceptance testing to validate product functionality.

Kenntnisse

Communication
Analytical
Problem-Solving
Self-Motivated

Ausbildung

Master´s degree in Computer Science
Master´s degree in Information Systems

Tools

Neo4j
Amazon Neptune

Jobbeschreibung

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EU work permit required:

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Job Reference:

f36ee4c8eff5

Job Views:

1

Posted:

16.05.2025

Expiry Date:

30.06.2025

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Job Description:

We are seeking a seasoned technical Product Owner with significant experience in the Data & AI domain to drive the product vision, strategy, and roadmap of our internally built Healthcare R&D knowledge graph. This role is pivotal to the success of our R&D efforts in discovering and developing new drugs. You will focus on defining a strategic vision, expected business value and impact, and roadmap deliverables, while working closely with our engineering and architecture teams on the development and implementation of the target architecture set-up.Acting as the primary liaison between end users like data scientists, biostatisticians and research scientists, business stakeholders and the engineering team, you will define the product roadmap and ensure seamless integration with other systems and processes within our global R&D Data and AI landscape. This will also require you to engage in user acceptance testing (UAT) to validate the product's functionality, usability, and performance. Furthermore, you will continuously gather feedback from end users and regularly communicate product roadmap updates across the organization. Your proactive approach will be essential in identifying new product growth opportunities, as well as potential risks or roadblocks, and proposing mitigating strategies to ensure successful roadmap delivery.Staying up to date with emerging technologies and industry best practices related to knowledge graphs, ontologies, and their application in the context of LLMs will be vital in enhancing the effectiveness of the product. You are expected to be an ambassador for knowledge graphs, be recognized as an expert in their application, and evangelize their potential across the organization.You will join a multicultural team working in agile methodologies and having high autonomy in decision-making. The role requires office presence at our Darmstadt location 2-3 days per week.Who you are:Master´s degree in Computer Science, Information Systems or a related field.Proven experience as a Product Owner or similar role, preferably in developing enterprise data platforms or data-related products.Ability to envision long-term product success and craft clear and actionable product roadmaps to achieve the strategic company’s goals.Experience with knowledge graphs or ontologies, especially with graph databases (e.g., Neo4j, Amazon Neptune), is a huge plus.Familiarity with Agile/Scrum and DevOps methodologies and experience in managing backlog items, sprint planning, and sprint reviews.Excellent communication skills and the ability to effectively collaborate with technical and non-technical stakeholders.Strong analytical and problem-solving skills, and a strong sense of ownership.Self-motivated with the ability to work independently and prioritize tasks effectively.Experience in the pharmaceutical or life sciences R&D domain is very beneficial.Fluency in English is essential.

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