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Head of Software Engineering Stellantis Mobilisights à Groupe PSA

Head of Software Engineering Stellantis Mobilisights

Groupe PSA CDI - temps plein
INFORMATIONS GENERALES
ORGANISATION
Nous rejoindre, c'est intégrer une entreprise d'envergure mondiale. Mû par la recherche permanente de l'innovation et de l'excellence, pionnier et leader des technologies propres et de la mobilité durable, le Groupe entend rester à la pointe des grandes tendances qui font bouger le monde.

Fort de son efficience, de son agilité et de son esprit d'équipe, le Groupe fait preuve d'exigence et d'audace pour définir la mobilité de demain.

Pour réussir ces transformations, l'entreprise a besoin de tous les talents. Rejoignez-nous !

REFERENCE
2022-12835

DATE DE PARUTION
20221214

DESCRIPTION DU POSTE
SPECIALITE / EMPLOI
ICT, Digital & Data
ICT, Digital & Data

INTITULE DE POSTE
Head of Software Engineering Stellantis Mobilisights

DESCRIPTION DE LA MISSION
PERMANENT CONTRACT

Exponential growth in adoption and deployment of connected cars and devices is bringing previously unavailable datasets to market – at scale and in real-time. Stellantis, one of the largest global car makers and the parent company of dozens of iconic brands including Jeep, Fiat, Maserati, Peugeots, and more, has created a new Data BU to harness sensor and other data from 10s millions of connected vehicles as well as that from IoT/connected devices from external sources to build data products and services that can power hundreds of brand-new b2b and b2c applications, services, and decision-making across industries.

Your Mission
Stellantis Data BU is looking for an accomplished and highly experienced Software Engineering leader. As the leader of the software engineering team, your mission is to build the software platform foundation for Data Monetization platform that'll support rapid buildout, delivery, and frictionless consumption of data products and services the Data BU plans to take to market.

Priorities can change in a fast-paced environment like ours, so this role includes, but is not limited to the following responsibilities:
● Lead design and development of a full software stack/platform to enable rapid development, deployment, discovery, licensing, and delivery/consumption of high-quality data products and services.
● Together with product managers, design and execute a roadmap to build a marketplace that can handle thousands of global customers licensing and consuming hundreds of products, data request/delivery APIs, and a ‘back-office' that provides streamlined metering, invoicing, reporting, and analytics of their data usage.
● Collaborate with UX experts to enable easy discovery and licensing of data and with data engineering team to ensure low-latency delivery of and high-uptime access to the data products and services.
● Advise CTO/execs on build/buy/out-source decisions for various sub-systems and components of the platform.
● Design and implement an experimentation platform for the agile, but secure, testing of data products and services.
● Drive continual improvements for reliability, performance, scalability, and quality and own associated KPIs.
● Build and mentor a world class team, expanding the impact and reach of data at Stellantis

PROFIL
Your Profile
● 12+ years of experience in the software design and development life cycle.
● 8+ years of team building and people management experience.
● 5+ years hands-on experience designing and building customer facing (revenue delivering) DaaS/SaaS platforms.
● 5+ years of hands-on experience and deep expertise in architecting and building products/platforms using popular public cloud platforms (AWS, Azure, GC).
● Strong product sense, with a solid understanding of user engagement and monetization strategies for data.
● Comprehensive experience and familiarity with client-side technologies as well as 3rd party products and platforms that can be integrated to rapidly build the data monetization platform.
● Candidates with advanced degree in Computer Science/Eng or related fields accepted at lower experience levels.

Extra points!
● Be active in the industry, recognized for the application of science within your industry
● Exemplifies multidimensional skill sets – data engineering, experimentation, software development, etc.
● Familiarity with modern data science and product analytics tools and techniques.
● Experience with AI/ machine learning
● Being a renowned champion for best practices within the analytics, data, and engineering teams
● Provides context, not control, remaining highlight aligned but loosely coupled to your team

Stellantis is a leading global mobility player guided by a clear mission: to provide freedom of movement for all through distinctive, appealing, affordable and sustainable mobility solutions. Our Company's strength lies in the breadth of our iconic brand portfolio, the diversity and passion of our 300,000 people, and our deep roots in the communities in which we operate.

In this new era of mobility, our portfolio of brands is uniquely positioned to offer distinctive and sustainable solutions to meet the evolving needs of customers, as they embrace electrification, connectivity, autonomous driving and shared ownership. Founded by visionaries who infused them with passion and competitive spirit, these brands have made automotive history for more than a century and continue to speak to customers and inspire our employees today.

At Stellantis, we assess candidates based on qualifications, merit and business needs. We welcome applications from people of all gender identities, age, ethnicity, nationality, religion, sexual orientation and disability. Diverse teams, will allow us to better meet the evolving needs of our customers and care for our future.

ONLY SEND CV IN ENGLISH

TYPE DE CONTRAT STANDARD
CDI

CATEGORIE PROFESSIONNELLE
Cadre

LOCALISATION DU POSTE
Pays
Europe, France, ,

CRITERES CANDIDATS :
NIVEAU D’EXPERIENCE MIN. REQUIS
Supérieur à 10 ans
NIVEAU D’ETUDES MIN. REQUIS

 

Compétences recommandées

  • Api
  • Accounts Receivable
  • Agile Methodology
  • Artificial Intelligence
  • Computing Platforms
  • Data Analysis
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