The objective of this roleManage and direct research and development (R&D) and processes to meet the needs of our AI strategy

Understand company and client challenges and how integrating AI capabilities can help create solutions

Lead cross-functional teams to identify and prioritize key areas of the partner’s business where AI solutions can drive significant business benefit

Analyze and explain AI and machine learning (ML) solutions while setting and maintaining high ethical standards

Collaborate with product design and engineering to develop an understanding of needs

Research and devise innovative statistical models for data analysis

Communicate findings to all stakeholders

Enable smarter business processes—and implement analytics for meaningful insights

Keep current with technology and industry developmentsDaily and Monthly ResponsibilitiesAdvise C-suite and business leaders on a broad range of technology, strategy, and policy issues associated with AI

Work on functional design, process design (including scenario design, flow mapping), prototyping, testing, training, and defining support procedures, working with an advanced engineering team and executive leadership

Manage a team to conduct assessments of the AI and automation market and competitive landscape

Serve as liaison between stakeholders and project teams, delivering feedback and enabling them to make necessary changes to product performance or presentation

Work as the lead data strategist, identifying and integrating new datasets that can be leveraged through our product capabilities and work closely with the engineering team to strategize and execute the development of data products

Execute analytical experiments methodically to help solve various problems and make a true impact across various domains and industries

Identify relevant data sources and sets to mine for client business needs, and collect large structured and unstructured datasets and variables

Devise and utilize algorithms and models to mine big data stores, perform data and error analysis to improve models, and clean and validate data for uniformity and accuracy
Analyze data for trends and patterns, and Interpret data with a clear objective in mind

Implement analytical models into production by collaborating with software developers and machine learning engineers.

Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems
Bachelor’s degree in computer scienceSpecial Skills Required0-1 years of experience in applying AI to practical and comprehensive technology solutions
Understanding/ Experience of ML, deep learning, Python, NLP, Kafka, and Spark
Knowledge/ Experience with program leadership, governance, and change enablement
Knowledge of basic algorithms, object-oriented and functional design principles, and best practice patterns
Knowledge of REST API development, SQL design, RDBMS design and optimizations
Knowledge of innovation accelerators
Knowledge of Cloud environments
Bachelor’s degree in statistics, applied mathematics, or related discipline preferred
Proficiency in data mining, mathematics, and statistical analysis
Advanced pattern recognition and predictive modeling experience
Experience with Excel, PowerPoint, Tableau, SQL, and programming languages (i.e., Java/Python, SAS)
Comfort working in a dynamic, research-oriented group with several ongoing concurrent projects