Solutions Architect In Data Environment

Job description

Coders Connect are partnering with Sanofi.

About Sanofi: We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve peoples lives.

Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible.

We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.

Sanofi has recently embarked into a vast and ambitious digital transformation program.

A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

Why joining Sanofi Digital Executive sponsorship and governance, with newly appointed CDO & leadership team Digital & data culture in place with agile ways of working and a strong ecosystem (Sanofi Ventures, BD Partnerships) Unique diversity of medical & technical challenges, with mobility opportunities Awarded Top Employers France 2021 And more specifically, why Accelerator powered by Sanofi A new entity launched March 1st to Become the leading Digital Health platform A separate location, in WeWork (Paris 75017), 5 minutes walk away from the future Sanofi HQ location Startup-like streamlined processes to ensure delivery speed Focused on end-to-end building the most transformative and profitable products The products you will work on We are building next-gen health & digital products, Data Analytics and Artificial Intelligence, including Digital Health products improving the patient experience and treatment adherence, through innovative digital products (Software as Medical Devices) Connected ecosystem solutions such as patients glycemic control & full disease management, leveraging connected pens Symptoms checking apps able to understand disease and track symptoms Remote treatment solutions providing individual recommendations, accessible by anyone, anytime, anywhere Personalized care model informed by AI to identify symptoms early signals and recommend corrective actions to the patient and the care giver Omnichannel products supporting multi-channel engagement with healthcare providers & patients Multi-channel digital targeting platform to deliver tailored digital campaigns Machine learning and predictive analytics to improve engagement (calls, chats) based on feedback Recommendation engines for cross selling/up-selling and next-best action delivery to sales reps Tailored content delivery based on preference and viewing history Digital Marketing products optimizing marketing campaigns reach and impact Market analytics tools to understand key dynamics across categories and identify growth/uplift potential Strategic allocation tools, able to dynamically model impact of different scenarios and achieve sales targets Tactical allocation tools, with built-in ROI response modelling, at brand x touchpoint level Who You Are: Reporting to the Head of Digital Architecture, you design data architectures and create the technical backbone for digital products and programs.

To successfully accomplish this task, you work in close collaboration with the product line leaders, Solutions architects, Data scientists, Data engineers, external partners, and relevant business stakeholders leveraging our data technologies standards.

You are a valued influencer and hands-on leader who has delivered practical and scalable dat architecture.

You have a keen eye for improvement opportunities and the demonstrated ability to deliver these opportunities using your broad technology skillset.

Our vision for digital, data analytics and AI Join us on our journey in enabling Sanofis Digital Transformation through becoming an AI first organization.

This means: Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to products, programs and projects to create an agile, fulfilling and meaningful work environment.

Building products that will be deployed globally on a leading-edge tech stack.

Working with renowned leaders and academics in machine learning to further develop your skillsets Job Highlights: Designs and implements systems and frameworks that can succeed long term (The Data Architect designs Architecture to meet business needs, within the agreed requirements, and are both pragmatic and supportive of the strategic architecture direction) Works in close collaboration with Business, Technology and Product stakeholders to contextualize the architecture design Verifies the consideration of non-functional requirements as part of the solution architecture Designs and produces design documents and solution roadmaps showing the states of transition for the Architecture Leverages the existing Portfolio of digital products, catalog of services and promotes the usage of existing building blocks Defines and manages standards, guidelines and processes for analytics solutions and architecture, aligning with the broader architecture council Remains up to date on IT industry practices and emerging standards Recommend emerging technologies for Data Analytics tech stack; optimize existing stack Contributes to the prioritization of technology enablers in solution roadmaps Be a champion for high-standards to ensure Digital Data Standards for Processes and Technologies are shared and used Requirements Key Functional Requirements & Qualifications: Experience with Agile methodologies, supporting and working with cross-functional teams Experience in all phases of a Data lifecycle: concept & design, development, implementation, change and operation Demonstrate excellent skills of translating requirements into workable, fit for purpose, technical designs and solutions Have extensive experience in technical solution identification and rationalization Facilitates design and review sessions to define broad solutions with the big picture in mind Ability to understand architectural dependencies of technologies in a vast and complex environment Explore how new technologies can be applied to solve challenging business problems and compile architecture decision records (ADRs) Desires to work in a fast-paced, constantly evolving environment; ability to manage multiple priorities Ability to work independently as well as in a team with a proven ability to influence Structured, planned and traceable approach Integrity and trust -- unwavering commitment to doing the right thing Good communication and facilitation skills Good written and verbal skills in English Pharmaceutical and life science experience is a plus Key Technical Requirements & Qualifications: Bachelors degree in Computer Science, Information Systems, Software Engineering or similar field Strong Experience designing and implementing Enterprise Data & Analytics Architectures Strong background in the areas of Data: Integration Services: Informatica Cloud, Airflow Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL Data modeling: SQLDBM BIG Data: Experience with distributed systems (Spark, Hadoop) Data Quality: Informatica CDQ Master Data Management: Informatica MDM Meta data management/Data Catalog: Informatica EDC and Axon Data Governance Data Security: Experience in working within compliance (e.g.

: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus Experience in Agile development processes and DevOps methodology / principals: Cloud-based services (AWS, Azure) Infrastructure as a code (Terraform) GIT-based source code management (GitHub) and Continuous Integration and Continuous Delivery (CI/CD) practices (GitHub Actions) Python, Shell scripting Data storage technologies (Object, structured, and unstructured) Automating deployment, scaling, and management of containerized applications Experience in Data Science/cloud-based machine learning platforms (Databricks, AWS Sagemaker) is a plus For more senior roles, mentoring and/or technology evangelism/advocacy experience is a plus


Key Functional Requirements & Qualifications: Experience with Agile methodologies, supporting and working with cross-functional teams Experience in all phases of a Data lifecycle: concept & design, development, implementation, change and operation Demonstrate excellent skills of translating requirements into workable, fit for purpose, technical designs and solutions Have extensive experience in technical solution identification and rationalization Facilitates design and review sessions to define broad solutions with the big picture in mind Ability to understand architectural dependencies of technologies in a vast and complex environment Explore how new technologies can be applied to solve challenging business problems and compile architecture decision records (ADRs) Desires to work in a fast-paced, constantly evolving environment; ability to manage multiple priorities Ability to work independently as well as in a team with a proven ability to influence Structured, planned and traceable approach Integrity and trust -- unwavering commitment to doing the right thing Good communication and facilitation skills Good written and verbal skills in English Pharmaceutical and life science experience is a plus Key Technical Requirements & Qualifications: Bachelor’s degree in Computer Science, Information Systems, Software Engineering or similar field Strong Experience designing and implementing Enterprise Data & Analytics Architectures Strong background in the areas of Data: Integration Services: Informatica Cloud, Airflow Database/Data Warehouse: AWS RDS, Snowflake, AWS Redshift, Knowledge of SQL Data modeling: SQLDBM BIG Data: Experience with distributed systems (Spark, Hadoop) Data Quality: Informatica CDQ Master Data Management: Informatica MDM Meta data management/Data Catalog: Informatica EDC and Axon Data Governance Data Security: Experience in working within compliance (e.g.: quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus Experience in Agile development processes and DevOps methodology / principals: Cloud-based services (AWS, Azure) Infrastructure as a code (Terraform) GIT-based source code management (GitHub) and Continuous Integration and Continuous Delivery (CI/CD) practices (GitHub Actions) Python, Shell scripting Data storage technologies (Object, structured, and unstructured) Automating deployment, scaling, and management of containerized applications Experience in Data Science/cloud-based machine learning platforms (Databricks, AWS Sagemaker) is a plus For more senior roles, mentoring and/or technology evangelism/advocacy experience is a plus

Required Skill Profession

Other General