2 open roles One focused on AIML, the other in Data Warehousing and Big Data. RESPONSIBILITIES - Evangelize break through AIML solutions, specifically passionate about consumer analytics, driving personalization for consumers across a broad spectrum of experiences - Architect and design advanced analytics solutions to power marketing communication and segmentation - Guide engineering teams to build AIML foundational services such as fraud detection, automated tagging, and AB testing - Partner with Product and Engineering leadership to build standard framework and patterns for feature engineering, model building, training, and serving - Participate in design and engineering of data science applications solutions that have significant strategic impact and achieve long term competitive advantage for the company - Embrace and influence domain driven design and architecture principles of security, privacy, scale, uptime and reliability - Partner with business leaders to provide expert technical advice and influence strategic decision making - Guide and mentor engineering teams to raise collective technical expertise - Demonstrate a strong bias for architecture principles balanced with tactical timelines, cost and risks - Contribute to architecture guiding principles, development standards, training and hiring Qualifications (AIML) - Bachelor's degree in Computer Science or related subject area - 3+ years in technology architect or engineering leadership roles - 3+ years of experience in the field of Machine Learning, AI, Deep Learning - 5+ years providing technical leadership to technical, business multi-functional teams - 7+ years in hands-on experience in software engineering with depth in data and analytics - Experience with model development, management, and deployment in production. - A solid understanding and experience managing high volume, variety and velocity data such as telemetry data from sensors, clickstream or unstructured data like images and speech. - Experience implementing AIML applications such as recommendations, forecasts, and sentiments - Solid experience in software development in languages like Java, Python etc. Experience working with RESTful API and streaming. - Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational databases, real time and batch data processing. - Experience leading enterprise cloudvirtual architectures like AWS, Microsoft Azure, etc. - Demonstrated track record of leading within sophisticated organizations requiring strong influence leadership skills - ability to work cooperatively at all levels in matrix environment - Exceptional collaboration, listening, written and verbal communication skills with ability to facilitate technology strategy, requirements and architecture conversations with all partners (management, business users, and technology resources) Qualifications (Big Data) bull Bachelor's degree in Computer Science or Business Information Management bull 3+ years in technology architect roles bull 5+ years providing technical leadership to technical, business cross-functional teams bull 7+ years in hands-on data or analytics engineering bull Strong understanding of data and analytics solution architecture, including experience with Big Data, Relational databases, streaming and batch data processing, bull Experience with leading enterprise cloudvirtual architectures like AWS, Microsoft Azure, Open Stack, JIE, etc. bull A solid understanding and experience of the principles and operations of high volume, variety and velocity business intelligence, data warehousing, reporting and analytics platforms with a proven background and record in architecture and implementation of applications, integrating with OLTP and 3rd party systems bull Working knowledge of statistical and predictive modeling concepts and disciplines bull Demonstrated track record of leading within complex organizations requiring strong influence management skills - ability to work cooperatively at all levels in matrix environment Role is open to various locations (Remote for the foreseeable future).