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Ascendis Pharma

Data & Analytics Product Owner

Fuldtid

Permanent

Tuborg Boulevard 12, 2900 Hellerup, Danmark

SE PÅ KORT
ID: 2856432
|
Indrykket for 1 dage siden

Are you passionate about utilizing data to drive business insights across different business domains? Do you have a solid foundation in transforming data into actionable visualizations and analytics that drive business value and enhance decision making processes?

If so, now is your chance to join Ascendis Pharma as our new Data and Analytics Product Owner.

Ascendis Pharma is a fast-growing biopharmaceutical company with locations in Denmark, Germany, the United States, UK, Italy, Spain, and France.

We are applying our TransCon® technology to build a leading, fully integrated biopharmaceutical company focused on making a meaningful difference in patients’ lives. Guided by our core values of patients, science, and passion, we use our TransCon® drug development platform to fulfill our mission of developing new and potentially best-in-class therapies to address unmet medical needs. Today, we have a growing pipeline of prodrug therapies in development, each designed to be a best-in-class therapy.

We are seeking a passionate and skilled Product Owner with a blend of technical business intelligence expertise and a strategic mindset, with strong business partnering skills and business acumen. You will join one of our Data & Analytics product teams and play a pivotal role in establishing a data-driven culture, improving business performance, and supporting strategic decisions at Ascendis Pharma.

You will be joining a team consisting of 3 colleagues with room for growth, and report directly to Lene Larsen, People Leader in Global IT. You will be based in our Headquarters in Hellerup.

Your key responsibilities will be:

  • Work closely with Finance, Quality, HR and Product Supply to define product vision, gather product requirements, and ensure successful delivery of Data & Analytic Solutions in collaboration with our Application product teams.
  • Determining the purpose of creating a data product, understanding its users and needs through the lens of product thinking.
  • Ensure the data product meets all requirements, including providing a comprehensive metadata description and adhering to accepted standards and data governance guidelines.
  • Make strategic decisions on managing the data product backlog, including prioritizing requirements, clarifying them, splitting stories, and approving implemented items.
  • Gather insights to align expectations and remove any inconsistencies or conflicting requirements.
  • Actively contribute by providing valuable feedback on the practical implementation of data governance rules.
  • Clarifying requirements and making informed decisions on challenges affecting development and implementation with the team. Furthermore, you will help empower the team to be self-driven, efficient and collaborative.

 

Qualifications and Skills:

You hold a relevant academic degree in computer science, Information Technology, Business Engineering or equivalent with +3 years of experience in Product management within Data & Analytics.  

In this role, you act as a bridge between data teams, stakeholders, and end-users, translating complex data concepts into actionable insights that drive value and innovation.

Experience in Pharma, Finance, Product Supply and Quality is an advantage.

Furthermore, you have:

  • Ideally you are familiar with DevOps and CI/CD pipelines.
  • Experience with Agile ways of working
  • Effective communication and collaboration skills is essential.

 

Key competencies:

You are a strong team player, analytical, and have a can-do attitude.

You possess an entrepreneurial mindset and can thrive in an informal, open environment where innovation and change are key.  You are agile at heart and highly value teamwork and the benefits of knowledge sharing to further the team’s results. 

To succeed in this role, we also expect you to have a unique set of technical skills, including the ability to extract insights from data & identify patterns, understand programming languages such as Python and SQL, and have a strong foundation in data technologies such as data warehouses, databases, data lakes, etc.

 

Travel: 5-10 days per year.

Office: Tuborg Boulevard 12, 2900 Hellerup

Apply now.

Applications will be evaluated when received, so please apply as soon as possible.

All applications must be submitted in English and are treated confidentially.

 

For more details about the position or the company, please contact Lene Larsen, [email protected] or Maribel Estrada, [email protected] or visit our website www.ascendispharma.com

To ensure your CV and application are considered, please upload them directly to our system. Applications submitted via email or other channels will not be reviewed.

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