At a Glance
- Tasks: Drive strategic partnerships and optimise life sciences alliances for growth.
- Company: Join Medidata, a leading brand in the life sciences sector.
- Benefits: Competitive salary, flexible working options, and career advancement opportunities.
- Other info: Dynamic role with a focus on collaboration and strategic growth.
- Why this job: Be at the forefront of innovation and make a real impact in life sciences.
- Qualifications: Experience in partnership management and strong relationship-building skills.
The predicted salary is between 63000 - 77000 £ per year.
Medidata, a Dassault Systèmes brand, is hiring a strategic Partnership Alliance Manager to own and optimize life sciences alliances.
You will sit at the intersection of sales, product, strategy, and delivery, driving joint GTM plans and acting as the growth engine for our partner ecosystem.
You will source and nurture key relationships, establish co-selling frameworks, coordinate with partner sales leaders, and lead joint business plans with GSIs and SIs to accelerate pipeline and revenue.
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Strategic Partnerships Manager, Life Sciences Alliances employer: Dassault Systemes
Dassault Systèmes is an exceptional employer, offering a dynamic and collaborative work environment where graduates can thrive. With a strong focus on employee development, the 2026 Sales Associate Graduate Program provides extensive training and mentorship from experienced sales teams, ensuring that you gain valuable insights into strategic sales processes while engaging with diverse customers. Located in the United Kingdom, this role not only promises meaningful career growth but also fosters a culture of inclusivity and innovation.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Partnerships Manager, Life Sciences Alliances
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We think you need these skills to ace Strategic Partnerships Manager, Life Sciences Alliances
Some tips for your application 🫡
Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.
Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.
Tailor Your Documents for Us:When applying for a full-time role at Dassault Systemes, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!
Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.
How to prepare for a job interview at Dassault Systemes
✨Show off your analytical skills
In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!
✨Practice your technical know-how
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✨Portfolio of Projects
Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.
✨Know their business model
Get familiar with Dassault Systemes’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.
