Head of Data, AI and Reporting

DSM
Kaiseraugst, Argovia
This job offer is not available in your country.

Head of Data, AI and Reporting

Global role

Hybrid

We are seeking an experienced Head of Data, AI and Reporting, to lead our company’s data and AI strategy and execution.

This senior leadership role is pivotal in building and managing an enterprise data platform and architecture, overseeing the delivery of data science and AI initiatives, data visualization and reporting capabilities, establish robust (master) data management and governance practices and drive effective data and AI portfolio management.

If you can demonstrate a proven track record of leveraging data to drive business value and innovation, alongside exceptional leadership and management skills, then this role is for you.

You will have strong leadership, communication, and stakeholder management skills. The ability to navigate and thrive in a fast-paced, dynamic environment.

Foster a culture of innovation and continuous improvement within the data science team. You will have decision-making skills, particularly in complex and uncertain situations.

And be resilient and adaptable in a fast-paced and dynamic environment.

DEI Statement

At dsm-firmenich, being a force for good is not optional. Diversity, Equity & Inclusion is a shared responsibility woven into our daily work, benefiting to our People, Customers & Communities and driving business value.

Equal access to opportunities is a given, belonging is a shared feeling, authenticity is celebrated.

Your key responsibilities :

As our Head of Data, AI and Reporting, you will lead and mentor a diverse team of data professionals, fostering a collaborative and high-performance culture.

Your key accountabilities will be to :

  • Lead the design, development, and maintenance of scalable, high-performance data platforms.
  • Ensure the data architecture supports business needs and adheres to best practices for data management and governance.
  • Oversee data integration processes, ensuring data accuracy, availability, and accessibility.
  • Access and build DataOps and MLOps capabilities integrating data and machine learning operations into the product development lifecycle to ensure a product mindset.
  • Drive the development and implementation of advanced analytics, machine learning, and AI solutions to solve complex business problems.
  • Assessing Generative AI Capabilities : Evaluating the current landscape of Generative AI technologies, including their strengths, limitations, and potential applications within the context of the business strategy.
  • Oversee the creation of data visualizations and dashboards that provide actionable insights to stakeholders.
  • Ensure the development of standardized reporting mechanisms that facilitate data-driven decision-making across the organization.
  • Promote the use of interactive and user-friendly visualization tools to enhance data literacy and accessibility.
  • Manage a portfolio of data and AI projects, ensuring alignment with strategic business objectives.
  • Prioritize and allocate resources effectively to maximize the impact and ROI of data initiatives.
  • Monitor and report on the progress, outcomes, and business value of data projects.
  • Build a comprehensive data strategy outlining how an organization will collect, manage, analyze, and utilize data to support and align with its overarching business objectives and goals.
  • Develop and enforce data governance policies and procedures to ensure data integrity, security, and compliance.
  • Implement and oversee data quality frameworks to ensure the accuracy, completeness, and reliability of data.
  • Establish data management practices that support effective data lifecycle management and data stewardship
  • Lead master data management (MDM) initiatives to ensure operational efficiency in key processes by maintaining consistent and accurate master data across the organization
  • Create a product ownership across functions that will define and drive the development of AI-powered products or features to meet business objectives and user needs.
  • You will work closely with other senior leaders to align data strategies with overall business goals.
  • Represent the data and AI function in executive meetings and contribute to strategic planning.
  • Collaborate with IT and legal teams to ensure compliance with data protection regulations and industry standards.

We bring :

  • A rich history and a promising future of bold scientific innovation and passionate creation with our customers.
  • A space to grow by encouraging and supporting curiosity and an open mindset.
  • Barrier-free communities within our organization where every employee is equally valued and respected regardless of their background, beliefs, or identity.
  • A culture that prioritizes safety and well-being, both physically and mentally.
  • A diverse, multicultural team to learn from and to lead their continued growth.
  • An eagerness to be one team and learn from each other to bring progress to life and create a better future.
  • The opportunity to work for a company where sustainability is much more than a claim and is core to our strategy and purpose.

You bring :

  • Degree qualification in Computer Science, Data Science, Engineering, or a related field. Advanced degree preferred.
  • Experience in data management, data science, and AI in a leadership role.
  • Proven experience in designing and managing large-scale data platforms and architectures.
  • Strong knowledge of advanced analytics, machine learning, and AI technologies.
  • Proficiency in data visualization tools (e.g., Tableau, Power BI) and reporting frameworks.
  • Excellent portfolio management skills, with a track record of delivering successful data and AI projects.
  • Skills in creating data visualizations and dashboards that provide actionable insights.
  • Excellent communication and stakeholder management skills to ensure alignment with strategic business objectives.
  • Demonstratable ability to stay abreast of emerging trends and technologies in AI and data science.

Equal opportunities commitment

dsm-firmenich is fully dedicated to inclusion because when people feel engaged and empowered, their creativity and innovation drives unprecedented progress.

We aim to build a workplace where opportunity really is equal, so everyone can thrive. We do not discriminate : (here,) there’s a place for everyone with us.

dsm-firmenich is an Equal Opportunity and Affirmative Action Employer. Our people are as diverse as our customers. For us that includes a commitment to ensuring equal employment opportunities for all job applicants and employees.

Employment decisions are based upon job-related reasons regardless of an applicant's race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, marital status, genetic information, protected veteran status, or any other status protected by law.

We are committed to providing reasonable support for disabled applicants in our recruiting process.

30+ days ago