Solutions Delivery Manager

Job Description:

Manage the solution delivery of Advanced Analytics (AA) projects, ensuring the use of the appropriate frameworks and tools, the collaboration with IT and the Business, and the obtention of innovative and successful results in time. For some specific complex Machine Learning (ML), Deep Learning (DL) and Natural Language Projects (NLP) projects: develop and implement different algorithms, sharing the knowledge with the AA team members. Work with the client to attain a fit for purpose solution to fulfill a business aim/objective. Understand and break down client problems, implement delivery best practices to ensure top-notch solution execution. This role will report to the Head of Advanced Analytics and will not have direct reports. 

Primary Responsibilities 

• Delivering a wide range of analytical solutions with focus on ML, DL, NLP, … working with the solutions delivery team following the lines below: o Providing expertise and leadership around adopting best in class processes and techniques for AA modeling and statistical analysis; o Working with the solutions delivery team on advanced, complex projects or business issues requiring a high expertise of technical (Machine Learning, Deep Learning, NLP, etc.) or data knowledge, ensuring the success of the solution; o Leading the solution of projects that use both structured and unstructured data and the appliance of appropriate cleansing techniques to make data suitable for advanced modeling exercises; o Ensuring the execution of very sophisticated predictive modeling skills & solid insurance knowledge to design & develop outstanding analytic solutions for multiple business areas reflecting your experience and current market conditions; o Assuring the right development and implementation of models in our cloud platform (in AWS), taking advantage of all the services and opportunities; o Ensuring an adequate monitoring of both the project and model results.

• For specific innovative and complex projects: develop, research and architect machine learning, Deep Learning, NLP algorithms( transforming natural language data into meaningful features), Graph algorithms, Sharing the knowledge and results with different data scientists 

• Implementing best practices in the model development, deployment and results monitoring. Ensuring the projects provide an aligned economic impact to the estimated CBA

Additional Responsibilities & Skills

These responsibilities and skills are considered beneficial for those in this Career Path, but are not required to advance. • Analytical mind and logical thinking person, who faces the resolution of problems in a structured way and takes care of all the details.

• A person with the ability to work with various teams such as business, data, IT 

• Energetic, passionate, constant, inspiring and contributing to empowering his colleagues: a technical reference and a partner, all together. 

• Ability to communicate research/ machine learning outputs in a clear and precise manner to business teams, provide technical leadership and collaborate with various teams such as Business, IT and data. 

• Innovative and researcher: aware of the latest trends in artificial intelligence, big data, ... person, who is looking for use cases and real data for the application of innovation, considering their implementation feasibility and success, as well as the possible value that these can add.

• Results-oriented person: who understands Company's strategy, its needs and objectives, establishing the necessary priorities to achieve the expected results, and seeking to monetize the developed use cases.

• A person that counts with planning skills to properly manage the solutions delivery and team's time, adjusting this to the established due dates, as long as he is able to create solid structures and tools that allow the optimization of the times and let the team focus on the work that really brings value.

• A person with resolute condition in the face of problems resurgence. 

• A person who is able to manage large workloads and deliver quality projects, finding the balance between accuracy and complexity. 

• A person that can create solid and replicable structures (automated workflows, work in agile, standardize the codes to be used, kick-off documents and subsequently documentation of all the projects). 

• Flexible person who faces challenges head on when changes to scope or business priorities occur or when facing challenges in negotiation with other teams or in IT or data limitations 

• Able to set an AA forward-looking vision, in order to lead and inspire at all levels.