Senior Manager Innovation and Data Strategy (m/f/d)

Munich, Germany

Applications have closed


Data and technology is a key driver of innovation at Zooplus. To delight our customers, we are continuously looking for smart minds who leverage analytical skills and technology (data science, artificial intelligence (AI), process mining, etc.) to mine billions of data points on a day-to-day basis and derive actionable insights. Leveraging these insights to formulate hypotheses and validating them in a learn steep and improve quick approach leads to superior products, processes, and overall business paradigms.


In this unique role as a Senior manager of Innovation & Data Strategy, you will be part of our Munich office and report to Jishna Pulluru, our Head of Operational Research & Innovation and help us build & lead our portfolio of innovation projects at the interface of data analytics and technology.


You will lead a highly motivated team of data geeks (Analysts, Data Scientists, Engineers) interested in addressing all the relevant questions that will shape the future of Zooplus. To do so, we want you to be able to both go very deep into the murky details of complex data science & technology problems and yet take a step back and keep things on track with the overall strategic goals of the company. 


Keeping in mind the asset-light philosophy of Zooplus, you leverage your superpowers to identify new & efficient ways of working with data analytics tools & Tech. without creating additional resource overheads and yet scaling well. To do so, you do not hesitate to build whatever it takes to get you there (e.g. data pipelines, non-invasive experimentation setups, data marts, etc).

At the end of the day, we expect you and your team to make a measurable impact on the top or bottom line of Zooplus (sooner the better, if you wonder why, then don’t apply).


Challenge accepted? Then don’t wait to apply! Below are some more details:


Responsibilities

  • Engage with senior stakeholders e.g. Departmental heads, C-level executives, etc. to identify high-value business problems and solve them with whatever it takes (simple excel analyses to full blown data products).
  • Support with the development of Zooplus data landscape by facilitating the creation of analytical views, etc. for fast downstream analytical workflows.
  • Develop concepts for innovative products, with the usage of data science, AI (ML, DL), deep tech. know-how in practice, both to improve effectiveness of business processes and IT products
  • Initiate, execute and manage a portfolio of high-value projects of strategic relevance based on experimentation, analytics, and data mining activities within the team
  • Maintain an innovation funnel to identify, pilot and capture new retail technology ideas into Zooplus businesses.
  • Collaborate with startups, young tech. companies, and other innovation hubs across the world (Yes! There are a lot of cool things around the world) to identify potential opportunities (Pilots, M&A, Crowdsourcing, etc).

Requirements

  • University degree with a strong quantitative focus, e.g. Engineering, Economics, Innovation, Mathematics, Physics, Neuroscience, Human-Computer interaction, Business administration, Operations Research, Data Science, etc.
  • 4+ years of full-time work experience in analytics, data science, data engineering, or software developer role.
  • Exceptional programming skills in whatever language/tooling is necessary to get the job done in a production-ready mode e.g. Python, R, Java, C++, etc. We care about your logical thinking and ability to learn, not semantics.
  • Creative thinking and problem-solving skills with a strong desire to drive change and make impact.
  • Great communication skills in English and an ability to present complex ideas to both technical and non-technical audience alike.
  • Open mindedness and empathy to value new ideas and understand pain of stakeholders.
  • Entrepreneurial mindset with a can-do-anything attitude and big picture thinking.
  • Skilled at working collaboratively in a team and ability to manage complex workflows.
  • 1 -2 years of experience managing a team is expected
  • Experience working in a consulting environment, fast growth startup or tech. company is a plus


What we are offering you

Become a part of our success story and seize the opportunity to take on a real challenge in a dynamically growing company where there is huge scope for development and short decision-making processes. We are offering you a versatile, international-facing role in our motivated team with colleagues from all over Europe. Our German headquarter is at a great location in Munich, with great infrastructure links. Additionally, we offer many competitive benefits such as:

28 paid days of vacation (plus December 24th and 31st)

🏠 Remote working flexibility (hybrid model).

🏬 Offices in the city center of Munich. Modern working spaces with table tennis, foosball, fresh fruit, beverages, and company events.

📖 Continuous development through internal and external training opportunities.

🎤 Participate in the technology community through our meetups and conferences.

✏ German language courses.

💲 Discount in our zooplus shop for all our employees + many other exclusive corporate benefits

🤝 Referral program. You will receive a bonus for helping us find the best talent.

🌍 We encourage diversity, meet our motivated and friendly teammates from over 50 nationalities.

Tags: Consulting Data Analytics Data Mining Data pipelines Data strategy Economics Engineering Excel Machine Learning Mathematics Physics Pipelines Python R Research

Perks/benefits: Conferences Salary bonus Startup environment Team events

Region: Europe
Countries: Germany United States
Job stats:  4  1  0
Category: Leadership Jobs

More jobs like this

Explore more AI, ML, Data Science career opportunities

Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.