Director - Data & Analytics (m/f/d)

vor 21 Stunden


Düsseldorf, Nordrhein-Westfalen, Deutschland C&A Vollzeit
The future looks like you

With over 1,300 stores in 17 European countries and more than 25,000 employees, C&A is one of Europe's leading fashion retailers. Every day, C&A welcomes millions of visitors to its stores in Europe and to its online shop. C&A offers quality and long-lasting fashion at affordable prices for the many. We are building on more than 180 years of experience in the fashion industry and continuously modernize the company to become an omnichannel fashion retailer.

At C&A we are driven by our values and we believe that affordable and high-quality fashion is not contradictory to caring for people & the planet, we are always forward thinking and acting to develop our business and innovate the industry. This is your chance to join the C&A team as Director - Data & Analytics Internally the title is Domain Lead - Data & Analytics.

C&A is in the middle of a data revolution. We're moving from reporting-reliant to truly data-enabled—powering decisions, products, and customer experiences at scale. As a Domain Lead - Data & Analytics, you'll define the vision, lead the people, and own the platform that makes this possible.

Your responsibilities
  • Develop and execute a comprehensive vision and roadmap for Data Engineering that aligns with C&A's business priorities. Deliver impactful near- and mediumterm data products while building toward a year-plus strategic horizon. Drive innovation and best practices in data architecture and management.
  • Build, lead, and mentor a high-performing team of data engineers and managers. Foster a culture of excellence, inclusion, continuous learning, and a reputation for reliably helping the business win.
  • Establish strong relationships with product, data governance, data science, analytics, and engineering leaders. Translate business goals into scalable data solutions and deliver outcomes against C&A's highest priorities.
  • Coach individual contributors and leaders with thoughtful observation and courageous, honest feedback. Create clear career paths, skill matrices, and succession plans.
  • Anticipate, communicate, and navigate business and technical risks. Orchestrate alignment across domains; drive change management that sticks.
  • Lead our evolution from centralized, report-driven work to domain-driven, product-oriented data delivery. Establish modern practices (e.g., data contracts, SLOs, CI/CD for data, observability) that enable self-service and trusted insight.
  • Own the stability, eSiciency, and evolution of core data platforms and pipelines, including Snowflake, MicroStrategy, Ab Initio, and Data Vault—and adjacent ecosystems (e.g., Databricks, Spark, Kafka, cloud services). Improve reliability, performance, cost, and scalability with clear SLIs/SLOs and incident/postmortem rigor.
    Own budget planning and Total Cost of Ownership (TCO) management for data products and staS, ensuring eSicient resource allocation and financial accountability.
  • How You'll Measure Success (First 6–12 Months):
  • A clear data engineering strategy with measurable OKRs adopted across domains.
  • Improved platform reliability and eSiciency (e.g., defined SLIs/SLOs, reduced incident frequency/MTTR, meaningful cost optimizations).
  • Tangible progress on domain-driven data products (e.g., data contracts, selfservice capabilities, trust/quality metrics).
  • Strong engagement scores and visible growth of engineers and managers.
What you bring
  • Track record leading Data Engineering at department scale, shipping large-scale, high-volume, low-latency data architectures in production.
  • Deep hands-on understanding of platforms such as Snowflake, Databricks, Spark, Kafka, and a major cloud (AWS/Azure/GCP). Comfortable evolving legacy or simplifying enterprise stacks (e.g., MicroStrategy, Ab Initio, Data Vault) toward modern patterns.
  • Passion for the customer and for delivering data that tangibly influences product direction and customer experiences.
  • Ability to drive cultural change, influence senior stakeholders, and foster crossfunctional collaboration. Experience transitioning from centralized reporting teams to domain-driven, product-oriented models.
  • Passion for building inclusive, empowered, growth-oriented teams. Skilled at mentoring, feedback, and developing managers.
  • Visionary yet grounded; able to connect business realities to technical strategy and deliver iteratively.
  • Exceptional communicator with strong analytical instincts; credible with senior leadership and comfortable simplifying complex trade-oSs.
What we offer

This is an opportunity for you to join us on a truly exciting transformation journey, where you'll be able to leave footprints that last and contribute significantly to our vision. As well as knowing that you played a key part in the evolution of one of Europe's most recognizable retail brands, you will also enjoy:

  • Countless learning and development opportunities via our C&A academy
  • Access to a Partner Discount Scheme
  • An employee discount of 20% in C&A stores
  • 30 days' vacation
  • Corporate pension scheme
  • Mental health and wellness program
  • An exciting job in an international and inspirational working environment
  • A positive working atmosphere and a talented team with an open feedback culture

C&A fosters equal opportunity for people of all backgrounds and identities. We are led by a gender-balanced board that is committed to building a diverse and inclusive organization where everyone can become their best self.

We do not discriminate based on age, disability, gender identity, sexual orientation, ethnicity, race, religion or belief, parental and family status, or any other protected characteristic. We welcome applications from women, men and non-binary candidates of all ethnicities and socio-economic backgrounds. We encourage people belonging to underrepresented groups to apply.

Even if you don't check every box, but see yourself contributing, please apply and help us build an inclusive community.



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