Data Architecture and Engineering Product Line Manager

il y a 3 semaines


Argenteuil, Île-de-France Givaudan Temps plein
About the Role

We are seeking a highly skilled Data Architecture and Engineering Product Line Manager to join our team at Givaudan. As a key member of our data and analytics team, you will be responsible for aligning the strategy for our MDM Platform, Data Platform, Data Quality Platform, BPM Platform, and Data Architecture and Data Engineering with our IT data and analytics strategy.

Key Responsibilities
  • Assist the Head of Data and Analytics in creating the data and analytics vision strategy, representing the data platform product line.
  • Define and maintain the data architecture and engineering product line's vision and roadmap.
  • Support and review value case definition of demands on data engineering and architecture.
  • Portfolio management for data engineering and architecture product line, including business partnership and engagement with EDM team.
  • Resource management within data architecture and engineering product line and management of pool of data engineers and data architects.
  • End-to-end product/project delivery of the products related to data engineering and architecture product line.
Strategy
  • Define the vision and future evolutions for data engineering and architecture aligned with IT data and analytics strategy, by leading the global coherence of scoping and structure with all Architects and data and analytics product teams.
  • Collaborate with product line managers, enterprise and solution architects, data and analytics product manager, and partners for translation of Business strategy into an IT strategy.
  • Ensure agreement of strategic programs and roadmap prioritization with Head of Digital Solutions (departments), Product Line Managers, and partners.
  • Provide inputs to Head of Digital Solutions (departments), Product Line Managers, and Architects on Market/Technology trends & best practices to give as input to strategy process.
  • Manage data platform as a product and ensure value-based decisions are taken through product life cycle.
Leadership
  • Lead the data platform team, including product managers, platform engineers, to implement the vision and roadmap.
  • Ensure, on an ongoing basis, that current and planned architecture, investments, and solutions are aligned with data and analytics strategy.
  • Provide budget forecast to match the validated strategic roadmap goals for the data engineering and architecture.
  • Ensure transparency and collaboration cross data and analytics products, digital solutions products, and partners.
  • Lead the development of pool of data architects and data engineers.
  • Promote the modern data engineering and architecture capabilities to Business and IT.
Portfolio Management
  • Manage internally the data engineering and architecture portfolio (assignment, selection, and classification, contribution to value case, and other portfolio activities) and ensure business and IT partners are involved in portfolio prioritization.
  • Communicate towards all IT partners necessary information about data engineering and architecture capabilities and prioritizations.
  • Support other data product managers in building, management, and communication of their portfolios and deliverables.
Solution Delivery Management
  • Maintain oversight of all business and IT demand for the data engineering and architecture, ensuring that resource commitments are properly planned, staffed, monitored, and reported; ensure nomination and availability of business resources in products/projects (main users).
  • Collaborate with the data and analytics teams to analyze new demands, provide inputs on new solutions and estimates, highlight dependencies and constraints across platform capabilities.
  • Mitigate any risk linked to delivery of data products and resources dependent on the data engineering and architecture.
  • Ensure resources follow best practices, methodologies, frameworks, and policies, such as best practices for data engineering, DataOps.
  • Manage direct reports and their respective activities, ensure HR global processes are followed.
Requirements
  • Master's degree in computer engineering or business school or equivalent.
  • 10+ years working in Information technology arena.
  • 5+ years working in data and analytics roles.
  • 5+ years of experience managing team dynamics, building team relationships, mentoring team members, and delivering feedback.
  • Experience in product management and Agile practices.
  • Business Analysis Skills in Data Management and Platform engineerings and comprehension of other digital solutions as users of the services of data platform.
  • Exhibited skills in leading efforts involving the coordination of resources and goals across multiple related projects and products.
  • Exposure and understanding of existing and latest technologies, and processing environments.
  • Experience with innovation approaches and methodologies (Agile, Product Management, Design Thinking, Design Sprints, and UX design).
  • Curious and interested about Data, Digital, and Information Technologies.
  • Fluent in English.
Our Benefits
  • Profit-sharing + saving plan.
  • Health coverage partially paid by us.
  • 40 days of holiday per year.
  • Partial coverage of meals and transport costs.
  • Career development opportunities.


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