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Engagement Manager Data & AI Solutions (m/w/d)

RewireWorldwidePosted 20d agoremote
via Arbeitnow

Make impact. Be human. Stay curious.

Who we are

AI is transforming the world – and we’re just getting started. With data growing exponentially, the need for smart, impact-driven minds has never been greater. At Rewire, we don’t just follow trends in Data & AI – we shape them.

If you're passionate about solving real challenges and creating tangible outcomes, then this is the perfect opportunity for you! With your innovative mindset and expertise, you're perfectly poised to help shape the future of Rewire, leveraging data and AI to develop cutting-edge solutions.

We're on a mission to grow Rewire's business by leaps and bounds, and we're looking for an Engagement Manager to help us reach our goals. You'll have the incredible opportunity to lead broader, strategic data and AI programs, coordinate cross-functional teams, and ensure impactful results for our valued clients. Your role is going to be amazing! You'll get to oversee the day-to-day execution of transformation projects, while also deepening your own expertise and contributing to Rewire's thought leadership in the industry.

Join a dynamic team of data and AI talents who tackle meaningful challenges, build smart solutions, and have fun along the way. Wanna join the ride?

Where you’ll make a difference

  • Lead a broader, strategic data & AI program for one of our clients – from vision to unlock value with AI – typically across 1–3 workstreams

  • Drive analytical problem-solving, data & AI solution integration, and output quality within your workstreams – leveraging both technology and business acumen to consistently connect business value with tech requirements through holistic thinking

  • Collaborate closely with cross-functional teams – guide (Senior) Data Scientists and Engineers to deliver impactful solutions

  • Coach & mentor team members – creating opportunities for growth and learning within the team

  • Be a trusted partner to our clients – manage the day-to-day relationship, ensure a steady pace of work, collaborate closely on-site to build strong relationships, and transform insights into high-impact presentations

  • Shape the future of our data & AI practice – by contributing to business development efforts, identifying new opportunities for our clients, supporting proposals and pitch presentations, and advancing our methodologies, thought leadership, and intellectual property through innovative approaches

What makes us the right choice for you

  • Be part of groundbreaking change as we scale a business in a fast-evolving industry with a dedicated international growth strategy, a team of deep industry experts, and the support of an experienced investor

  • Step into a role where you shape direction, drive innovation, and make a tangible impact in transforming how organizations use data & AI

  • Deepen your expertise in key subfields of data & AI and accelerate your professional growth in a future-facing environment

  • Join a vibrant team that’s ambitious, collaborative, and just the right amount of nerdy – where learning and laughter go hand in hand

  • Work with clients as true partners – building relationships based on trust, shared goals, and face-to-face collaboration whenever it matters most

  • Thrive in a culture that values autonomy, curiosity, and bold thinking – where your voice matters, ideas turn into action, and your impact is genuinely recognized and rewarded


What makes you shine

You're a sharp thinker, a strong communicator, and a collaborative leader – with a passion for turning data into business value. You’ll thrive with us if you bring:

  • 5+ years of relevant experience in consulting, strategy, or data/AI-driven environments – with a proven track record in data management, analytical value creation, or data-powered business transformation

  • Confidence to lead client relationships and guide teams – with excellent communication and stakeholder management skills, from structured storylining to building trust across diverse, cross-functional setups

  • Sharp analytical skills and a hands-on, change-oriented approach – you don’t just analyze, you make things happen

  • Strategic and entrepreneurial mindset – you connect the dots, think in solutions, and turn ideas into action

  • Driven by curiosity, collaboration, and growth – you proactively learn, empower others, and foster a culture of shared success

  • A strong academic track record (STEM field preferred), fluency in both English and German (written and spoken), and willingness to travel regularly to client sites

Where you’ll work

Most projects require working onsite at client locations throughout Germany (and occasionally Europe) for several days per week.

While our main office is located in Heidelberg, many of our team members are based across various cities in Germany. This reflects our flexible and distributed team structure and means that relocation is not a requirement.

When not working onsite with clients, you're warmly welcome to work from our Heidelberg office or from home.

In their own words

“I really appreciate our work atmosphere and culture at Rewire. We are all curious people, driven by the desire to help our clients innovate and solve problems. At the same time, we bring diverse personalities and backgrounds. We see the world through different lenses, but we share our perspectives openly and honestly, collaborating to achieve great outcomes.” – Alfonso Chacon, Engagement Manager at Rewire

Sound like your kind of team?

Perfect! If you’re up for an exciting new challenge and want to make real impact with data & AI, we’d love to hear from you.

Apply now! And let’s see where this journey takes us.

Questions? Feel free to ask them via

 

Who you are matters to us!

We welcome all applicants – regardless of gender, background, or LGBT+ identity – because diversity and inclusion are core values for us. We are convinced that a diverse and inclusive workplace fosters creativity, innovation, and success.

Find Jobs in Germany on Arbeitnow

Skills

  • Data Science
  • Remote

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