Our client is a Global Financial Institution.
They’re seeking an Innovative change manager who has done process transformation and/or Artificial Intelligence for financial services.
The Office of the COO oversees the Global Business Services (GBS) functions of Operations, Technology and Finance. Within the Office of the COO, the Data Science Lead plays a major role in GBS Strategic Initiatives through innovation and artificial intelligence, prioritizing business value, simplification and cost reduction.
Supervise the delivery of prototypes to quickly test if value can be generated. Lead and supervise the execution of solution implementation: in-house solutions and/or oversee implementation by external resources (vendors, consultants, interns, etc.)
Be the centralized point of reference for artificial intelligence. Coordinate and supervise AI initiatives providing guidance. Challenge status-quo yet favoring simple and highly impactful solutions
Identify new opportunities, technologies, risks, and trends. Stay current with leading edge systems, methods, and best practices in the data science/machine learning fields and use such product and market knowledge to guide scoping discussions with team and stakeholders
Be a major contributor to the thought leadership on innovation.
Establish and maintain internal partnerships with SG support functions and business lines
Identify new strategic approaches to accelerate innovation.
Foster an open innovation model by exploring and promoting partnerships with external centers of excellences (e.g., universities, research centers, incubators, startups etc.) and by promoting SG in the AI and innovation landscape (conferences, events etc.)
Master Degree or equivalent in data-science or related field. 5+ years of experience using AI.
Have thorough knowledge of AI, data science methodologies, and strong math and statistics foundations.
Experience in conducting research and peer reviewed publications in the machine learning field.
Experience using data analytics software and strong programming/technical skills in one or more data science programming languages (e.g., Matlab, R, python, Spark, etc.).
Engineering and troubleshooting skills.
Strong innovative, creative thinking and problem-solving skills, ability to think outside the box to create value
Curious and passionate about innovation and artificial intelligence
Strong team spirit to collaborate with several teams and domain experts (especially technical and business teams)
Foster a collaborative open-minded environment to promote brainstorming, ideas exchanges, opportunities and solutions identification
Ability to demonstrate a clear interpretation, communication, and presentation of results. Strong solid communication skills to explain complex concepts to all levels of internal and external users, interacting with both developers/architects and senior management
Responsible and courageous to speak up to highlight potential flaws in solution and predictive power. Must lead by example, promote courageous ethical behavior.
Committed to the firm/stakeholders best interests cultivating a climate of trust and striving in developing people and their talents.
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