Data Science Manager

il y a 4 semaines

Argenteuil, France Givaudan Temps plein

Join us and celebrate the beauty of human experience. Create for happier, healthier lives, with love for nature. Together, with passion and imagination, we deliver food innovations, craft inspired fragrances and develop beauty and wellbeing solutions. There’s much to learn and many to learn from, with more than 16,800 employees around the world to explore ideas and ambitions with.
In France, discover the empowered passionate professionals who made history creating our legendary perfumery school. Feel the heritage. Acquire knowledge and experience, gained in our renowned European Creation Centre, or from any of our 17 innovative sites across the country. Every day, your commitment, your humility, and your risk-taking will shape our future. Every essence of you enriches our world. We are Givaudan. Human by nature.

**Data Science Manager - your future role?**

As a Data Science Manager in Argenteuil or Paris, you will beaccountable for facilitating the development, and performance of scalable Artificial Intelligence and Machine Learning models, the definition and improvement of the Data Science methodologies, building the Data Science Team & Talent network across the Group.

You will report to the Head of Data & Analytics.

**In this role you will**:

- Define and maintain the Data Science vision, strategy, and roadmap
- Set processes and governance for the centralized Data Science team
- Support and review value case definition of opportunities for Data Science
- Team, Portfolio, and Resource Management for Data Science
- Ensure the right infrastructure and technology stacks to build and deploy efficient models
- Oversee end-to-end solution delivery affecting Data Science

Strategy
- Define a vision and a roadmap for the data science team with the company leadership team
- Collaborate with other managers to translate Business strategy into an IT strategy
- Ensure agreement of strategic projects and roadmap prioritisation across teams
- Provide inputs to the Head of D&A and Architects on Market and Technology trends and best practices to give as input to the strategy process
- Ensure business value-based decisions are taken through the Information System delivery process and platform evolution, and considering systematic global impacts

Leadership
- Lead the team to the execution of vision and roadmap
- Provide technical leadership and mentorship to data scientists with multiple backgrounds
- Ensure, on an ongoing basis, that current and planned architecture, investments, and solutions are aligned with IM&T goals
- Provide budget forecast to match the validated strategic roadmap goals at DS level
- Ensure transparency and collaboration across teams
- Promote the DS solutions landscape to Business and IM&T
- Promote the data science practice inside the company to increase visibility

Portfolio Management
- Manage internally the DS portfolio (assignment, selection and classification, contribution to value case, and other portfolio activities) and ensure business stakeholders are involved in DS portfolio definition
- Communicate with all IT stakeholders the necessary information regarding the portfolio
- Support other Managers in building, and communicating their portfolios for products including or using DS solutions

Solution Delivery Management
- Maintain oversight of all initiatives led or contributed by the team, ensuring that DS resource commitments are planned, staffed, monitored, and reported; ensure nomination and availability of business resources in projects (key users)
- Collaborate with the team to analyse new demands, provide inputs on new solutions and project estimates, highlight dependencies and constraints on DS
- Participate in cross-IT potential solutions definition; identify products impacted by projects or new product needs
- Mitigate any risk linked to solutions and resources during project execution
- Ensure resources follow best practices, methodologies, frameworks, and policies (information security included)
- Manage direct reports and their respective activities, ensuring HR global processes are followed.

**Your professional background includes**:

- Master’s degree in computer science with Data Science or mathematics or statistics specialisation
- 10+ years working in the Information technology arena.
- 5+ years of experience managing team dynamics, building team relationships, mentoring team members, and delivering feedback
- 3+ years in AI/ML environments
- Experience in an Agile environment is a plus
- Deliver machine learning products in a corporate environment
- Exhibit skills in leading efforts involving the coordination of resources and goals across multiple related projects
- Exposure and understanding of existing and emerging technologies, and processing environments
- Good understanding of innovative approaches and methodologies (Design Thinking, Design Sprints and UX design)
- Stakeholder & Portfolio management skills
- Negotiation & Communication Skills: the ability

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