Senior Manager, AI and Data Engineering

Senior Manager, AI & Data Engineering

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• Generous Personal Time Off (PTO) Benefits
• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• Benefits Eligibility Effective Day One
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

• Hybrid Work Options
• Award-Winning Culture
• Generous Personal Time Off (PTO) Benefits
• 14-Weeks of 100% Paid Leave for New Parents (Adoption Included)
• Monthly Gym Membership Reimbursement OR Gym Equipment Reimbursement
• Benefits Eligibility Effective Day One
• 401K with Employer Match
• Tuition Reimbursement After One Year of Service
• Fertility Assistance Program
• Four-Week Company-Paid Sabbatical Eligibility After Five Years of Service

The Senior Manager, Data Science will be responsible for overseeing the implementation of technical solutions for the identification of complex patterns in large, high-dimensional/high-frequency data sets and executing and participating in the data vision. This role requires an enterprise mindset to build out robust, high-performance technology solutions.

The Senior Manager position mixes strong hands-on technical leadership with the management of matrixed resources, and if required, multiple teams, to achieve desired business outcomes. It is expected that this person is as excited about developing code as they are about developing the skills and competencies of the team at large.

• This is a Remote Position

• Demonstrated ability to lead and energize teams to exceed goals and consistently make good decisions through a combination of analysis, experience and judgment
• Command of one or more Machine Learning/Deep Learning frameworks, including Keras, PyTorch, Caffe, Scikit-Learn or Tensorflow.
• Knowledge of common optimization algorithms and the approaches to tuning and evaluating such algorithms.
• Knowledge of one or more database platforms, preferably cloud-based.
• Experience deploying, monitoring, and maintaining data pipelines in production environments
• Design models of data processing that implement the intended business model
• Develop diagrams representing key data entities and their relationships
• Generate a list of components needed to build the designed system

• Use a variety of leading-edge AI/ML tools to develop, test, and maintain data pipelines within the Platform Reference Architecture.
• Championing a culture of innovation, encouraging team collaboration and self-organization to deliver high-quality AI/ML solutions.
• Ensure data implementations align with cutting-edge technological trends and business needs.
• Work directly with management, product teams and practice personnel to understand and execute on their AI/ML requirements.
• Maintain a positive work atmosphere by behaving and communicating in a manner that encourages productive interactions with customers, co-workers and supervisors.
• Develop and engage with team members by creating a motivating work environment that recognizes, holds team members accountable, and rewards strong performance
• Foster an innovative, inclusive and diverse team environment, promoting positive team culture, encouraging collaboration and self-organization while delivering high quality solutions.

• Collaborating with other senior leaders to align cloud data solutions with broader business objectives and to ensure they meet the evolving needs of the organization and its clients.
• Function as a subject matter expert by staying current on the latest research, experimenting with new technologies, and sharing that knowledge internally.
• Ensure strict compliance with all information and data security policies, best practices and requirements.
• Create and implement robust cloud-based data solutions that scale effectively, and provide powerful experiences for both internal teams and clients
• Perform unit tests and conduct reviews with other team members to…