Description
Publicis Sapient is looking for a Senior manager of data engineering to join our team of bright thinkers and doers. You'll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients' most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.
Your Impact:
Provide inputs to define and execute a strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design, and implementationLead a globally distributed team to deliver high-quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy, and qualitydrive key transformational programs like customer 360-degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn, etc.), Weblog Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen, etc.), and business application data (CRM, eCommerce, etc.)Run workshops with clients and align client stakeholders to optimal solutions
Qualifications
Gender Neutral Policy18 paid holidays throughout the yearGenerous parental leave and new parent transition programFlexible work arrangements Employee Assistance Programs to help you in wellness and well being
Additional Information
Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally-enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of the next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting and customer obsession to accelerate our clients' businesses through designing the products and services their customers truly value.
Company Description
Publicis Sapient is looking for a Senior manager of data engineering to join our team of bright thinkers and doers. You'll use your problem-solving creativity to design, architect, and develop high-end technology solutions that solve our clients' most complex and challenging problems across different industries. We are on a mission to transform the world, and you will be instrumental in shaping how we do it with your ideas, thoughts, and solutions.
Your Impact:
Provide inputs to define and execute a strategic roadmap for enterprise data architecture by identifying the current landscape and future business goalsProvide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design, and implementationLead a globally distributed team to deliver high-quality solutions. Manage functional & non-functional scope and qualityHelp establish standard data practices like governance and address other non-functional issues like data security, privacy, and qualitydrive key transformational programs like customer 360-degree view for the clientsFunctional understanding related to digital marketing & customer experience solution blocks, Master data Management (MDM), Customer Relationship Management (CRM), Campaign Management, Tag Management, Media Buying, Optimizations, Recommendations & Targeting, DMP, and DSP.Understanding Digital data sources such as Open source data (ex: Facebook, Twitter, LinkedIn, etc.), Weblog Data (SiteCatalyst, Google Analytics), 3rd party paid data (ex: Acxiom, ACNielsen, etc.), and business application data (CRM, eCommerce, etc.)Run workshops with clients and align client stakeholders to optimal solutions