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.
As Senior Manager in Data Engineering, you are responsible for defining and executing data strategy for clients. Your role focused on high quality strategy, definition and delivery of solutions involving:
The role requires a hands-on technologist with expertise in databases, Hadoop, MDM and reporting to provide strategic and tactical direction to customers in the areas of marketing and technology. The person should have a strong programming background like Java.
As data engineering practitioner, you should have a point of view and understanding of build vs. buy, performance considerations, hosting, business intelligence, reporting & analytics. Ideally, you have experience in integrating data with marketing scenarios like segmentation, targeting, consumer 360 view, etc.
Responsibilities:
Provide inputs to define and execute strategic roadmap for enterprise data architecture by identifying the current landscape and future business goals
Provide technical leadership and hands-on implementation role in the areas of data techniques including data access, integration, modeling, visualization, mining, design and implementation
Lead a globally distributed team to deliver high quality solutions. Manage functional & non-functional scope and quality
Help establish standard data practices like governance and address other non-functional issues like data security, privacy and quality
Help establish best practice like standards and guidelines for design & development, deployment, support and analytics and mining
Help establish best practice in acquiring, storing and analyzing structured, semi-structured and un-structured data from the enterprise and outside like social
Come up with analytics solutions based on the business goals and appropriate data visualization to support the goals
Manage and provide technical leadership to large data programs or multiple programs implementation based on the requirement using agile technologies
Define and drive key transformational programs like customer 360 degree view for the clients
Functional 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.), Web log 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
Education:
Bachelor’s/Master’s Degree in Computer Engineering, Computer Science, or a related field.