Data Strategy Lead

Vor 4 Tagen


Reinach AG, Aargau, Schweiz SICPA Vollzeit

ROLE

As a key member of the Research & Innovation Department at SICPA, the primary objective of this role is to leverage data to support strategic decision-making and enhance innovation performance.

You will work at the intersection of data engineering, data science, digital transformation strategy, and technology.

The primary responsibilities of this role will include:

Data Strategy Development:

  • Support senior leadership to define the innovation data strategy.
  • Identify strategic opportunities where data can create value, improve efficiency, and drive competitive advantage.
  • Support the development of digital transformation initiatives involving data analytics.

Data Governance and Policy:

  • Implement data governance frameworks, policies, and standards.
  • Define data ownership, and data quality guidelines.

Business Intelligence (BI) Strategy:

  • Design and implement BI solutions that empower decision-makers with actionable insights.
  • Create executive dashboards and reports to track KPIs and performance metrics.
  • Support strategic recommendations based on BI findings.

Advanced Analytics:

  • Lead advanced statistical analysis, predictive modelling, and machine learning initiatives.
  • Identify patterns, trends, and correlations in large datasets.
  • Translate complex analytical results into business-friendly insights.

Data Architecture and Infrastructure:

  • Collaborate with IT teams to design scalable data architectures.
  • Optimize data pipelines and models for efficiency and reliability.

Continuous Improvement:

  • Stay abreast of industry trends, emerging technologies, and best practices.
  • Identify areas for process improvement and innovation.
  • Iterate on data strategies based on feedback and evolving business needs.

PROFILE

Requirements include:

  • Master's degree in a relevant field (e.g., Data Science, Machine Learning, Information Systems). PhD degree would be a plus.
  • More than 10 years of work experience in a similar position, in an industrial sector.
  • Proficiency in machine learning and AI modelling.
  • Proficiency in data visualization and storytelling (e.g., Power BI).
  • Proficiency in Microsoft Power Platform.
  • Experience in Azure Cloud solutions.
  • Experience in data analytics and mining programming languages (e.g. Python, MATLAB, SQL).
  • Demonstrate a proactive, hands-on approach to ensure operational excellence and efficiency.
  • Strong analytical thinking and problem-solving skills.
  • Strong team player with ability to work in a fast-paced cross-disciplinary environment.
  • Experience with data governance, data modelling, and data architecture.
  • Industrial process mindset.
  • Familiar with change management methodologies.
  • Fluent in English, a good knowledge of French is strongly appreciated.


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